├── Conference_paper ├── GLOBECOM_Paper_with_code │ ├── GLOBECOM2020_Paper_with_code.md │ ├── GLOBECOM2021_Paper_with_code.md │ ├── GLOBECOM2022_Paper_with_code.md │ └── GLOBECOM2023_Paper_with_code.md ├── ICC_Paper_with_code │ ├── ICC2020_Paper_with_code.md │ ├── ICC2021_Paper_with_code.md │ ├── ICC2022_Paper_with_code.md │ ├── ICC2023_Paper_with_code.md │ └── ICC2024_Paper_with_code.md ├── INFOCOM_Paper_with_code │ ├── INFOCOM2020_Paper_with_code.md │ ├── INFOCOM2021_Paper_with_code.md │ ├── INFOCOM2022_Paper_with_code.md │ ├── INFOCOM2023_Paper_with_code.md │ └── INFOCOM2024_Paper_with_code.md ├── ITSC_Paper_with_code │ ├── ITSC2020_Paper_with_code.md │ ├── ITSC2021_Paper_with_code.md │ ├── ITSC2022_Paper_with_code.md │ └── ITSC2023_Paper_with_code.md ├── IV_Paper_with_code │ ├── IV2020_Paper_with_code.md │ ├── IV2021_Paper_with_code.md │ ├── IV2022_Paper_with_code.md │ ├── IV2023_Paper_with_code.md │ └── IV2024_Paper_with_code.md ├── MSN_Paper_with_code │ ├── MSN2020_Paper_with_code.md │ ├── MSN2021_Paper_with_code.md │ └── MSN2022_Paper_with_code.md ├── VTC_Paper_with_code │ ├── VTC2020_Paper_with_code.md │ ├── VTC2021_Paper_with_code.md │ ├── VTC2022_Paper_with_code.md │ ├── VTC2023_Paper_with_code.md │ └── VTC2024_Paper_with_code.md └── WCNC_Paper_with_code │ ├── WCNC2020_Paper_with_code.md │ ├── WCNC2021_Paper_with_code.md │ ├── WCNC2022_Paper_with_code.md │ ├── WCNC2023_Paper_with_code.md │ └── WCNC2024_Paper_with_code.md ├── README.md ├── images └── roadmap.png.webp └── researcher_group_profiles.md /Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A machine learning approach for detecting CNAME cloaking-based tracking on the Web 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322514](https://ieeexplore.ieee.org/abstract/document/9322514) 3 | * Code: [https://github.com/fukuda-lab/cname-cloaking](https://github.com/fukuda-lab/cname-cloaking) 4 | 5 | [2] An Empirical Evaluation of AI Deep Explainable Tools 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9367541](https://ieeexplore.ieee.org/abstract/document/9367541) 7 | * Code: [https://github.com/slundberg/shap](https://github.com/slundberg/shap) 8 | * Code: [https://github.com/marcotcr/lime](https://github.com/marcotcr/lime) 9 | 10 | [3] AoI-based Finite Horizon Scheduling for Heterogeneous Networked Control Systems 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348053](https://ieeexplore.ieee.org/abstract/document/9348053) 12 | * Code: [https://github.com/oayan/finite](https://github.com/oayan/finite) 13 | 14 | [4] AutAvailChain: Automatic and Secure Data Availability through Blockchain 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322396](https://ieeexplore.ieee.org/abstract/document/9322396) 16 | * Code: [https://github.com/GTA-UFRJ-team/blockchain-marketplace](https://github.com/GTA-UFRJ-team/blockchain-marketplace) 17 | * Code: [https://osrg.github.io/ryu/](https://osrg.github.io/ryu/) 18 | 19 | [5] BBB: A Lightweight Approach to Evaluate Private Blockchains in Clouds 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322354](https://ieeexplore.ieee.org/abstract/document/9322354) 21 | * Code: [https://github.com/haochenpan/BBB](https://github.com/haochenpan/BBB) 22 | 23 | [6] Benchmarking End-to-end Learning of MIMO Physical-Layer Communication 24 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322115](https://ieeexplore.ieee.org/abstract/document/9322115) 25 | * Code: [https://github.com/JSChalmers/DeepLearning](https://github.com/JSChalmers/DeepLearning) 26 | 27 | [7] Characterizing IOTA Tangle with Empirical Data 28 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322220](https://ieeexplore.ieee.org/abstract/document/9322220) 29 | * Code: [https://github.com/goldrooster/IOTA-Empirical-Data-Analysis](https://github.com/goldrooster/IOTA-Empirical-Data-Analysis) 30 | 31 | [8] Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge 32 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322089](https://ieeexplore.ieee.org/abstract/document/9322089) 33 | * Code: [https://github.com/jakthra/PseudoRayTracingOSM](https://github.com/jakthra/PseudoRayTracingOSM) 34 | 35 | [9] Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services 36 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348064](https://ieeexplore.ieee.org/abstract/document/9348064) 37 | * Code: [https://github.com/MithunHub/GC2020PriorityOffloading](https://github.com/MithunHub/GC2020PriorityOffloading) 38 | 39 | [10] End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels 40 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9367429](https://ieeexplore.ieee.org/abstract/document/9367429) 41 | * Code: [https://github.com/Yitiann/End2end](https://github.com/Yitiann/End2end) 42 | 43 | [11] Improving LoRa Scalability by a Recursive Reuse of Demodulators 44 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348268](https://ieeexplore.ieee.org/abstract/document/9348268) 45 | * Code: [https://github.com/LoRa-net/](https://github.com/LoRa-net/) 46 | 47 | [12] Latency Comparison of Cloud Datacenters and Edge Servers 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322406](https://ieeexplore.ieee.org/abstract/document/9322406) 49 | * Code: [https://github.com/netlab-stevens/cloud-edge-latency](https://github.com/netlab-stevens/cloud-edge-latency) 50 | 51 | [13] MobileSR: Efficient Convolutional Neural Network for Super-resolution 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322623](https://ieeexplore.ieee.org/abstract/document/9322623) 53 | * Code: [https://github.com/DestinyK/MobileSR](https://github.com/DestinyK/MobileSR) 54 | 55 | [14] OpenSurgery for Topological Assemblies 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9367489](https://ieeexplore.ieee.org/abstract/document/9367489) 57 | * Code: [http://www.github.com/alexandrupaler/opensurgery](http://www.github.com/alexandrupaler/opensurgery) 58 | 59 | [15] Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322374](https://ieeexplore.ieee.org/abstract/document/9322374) 61 | * Code: [https://github.com/signetlabdei/qd-realization/tree/feature/treetraversal](https://github.com/signetlabdei/qd-realization/tree/feature/treetraversal) 62 | 63 | [16] Sparse Satellite Constellation Design for LoRa-based Direct-to-Satellite Internet of Things 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348042](https://ieeexplore.ieee.org/abstract/document/9348042) 65 | * Code: [https://github.com/santiagohenn/astrotools/](https://github.com/santiagohenn/astrotools/) 66 | 67 | [17] Synthesizing Datasets with Security Threats for Vehicular Ad-Hoc Networks 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348149](https://ieeexplore.ieee.org/abstract/document/9348149) 69 | * Code: [https://github.com/fabio-r-goncalves/dataset-collection](https://github.com/fabio-r-goncalves/dataset-collection) 70 | 71 | [18] Time-to-Provision Evaluation of IoT Devices Using Automated Zero-Touch Provisioning 72 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348119](https://ieeexplore.ieee.org/abstract/document/9348119) 73 | * Code: [https://github.com/iboskov/ZeroFi-snippets](https://github.com/iboskov/ZeroFi-snippets) 74 | 75 | [19] (T, ∊)-Greedy Reinforcement Learning for Anti-Jamming Wireless Communications 76 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322486](https://ieeexplore.ieee.org/abstract/document/9322486) 77 | * Code: [https://github.com/GZHU-DVL/tau-epsilon-greedy-RL](https://github.com/GZHU-DVL/tau-epsilon-greedy-RL) -------------------------------------------------------------------------------- /Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] An Incentive Mechanism for Big Data Trading in End-Edge-Cloud Hierarchical Federated Learning 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685514](https://ieeexplore.ieee.org/abstract/document/9685514) 3 | * Code: [https://github.com/YunfengZhao97/IM-BD-HFL](https://github.com/YunfengZhao97/IM-BD-HFL) 4 | 5 | [2] Architecture and Performance Comparison of Permissioned Blockchains Platforms for Smart Contracts 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685508](https://ieeexplore.ieee.org/abstract/document/9685508) 7 | * Code: [https://github.com/hyperledger/fabric/releases](https://github.com/hyperledger/fabric/releases) 8 | 9 | **[3] Cooperative Localization Enhancement through GNSS Raw Data in Vehicular Networks** 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9682163](https://ieeexplore.ieee.org/abstract/document/9682163) 11 | * Code: [https://github.com/francescoraves483/ms-van3t-CAM2CEM](https://github.com/francescoraves483/ms-van3t-CAM2CEM) 12 | 13 | [4] Dynamic Router's Buffer Sizing using Passive Measurements and P4 Programmable Switches 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685160](https://ieeexplore.ieee.org/abstract/document/9685160) 15 | * Code: [https://github.com/Princeton-Cabernet/p4-projects/tree/master/RTT-tofino](https://github.com/Princeton-Cabernet/p4-projects/tree/master/RTT-tofino) 16 | 17 | [5] Early-exit deep neural networks for distorted images: providing an efficient edge offloading 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685469](https://ieeexplore.ieee.org/abstract/document/9685469) 19 | * Code: [https://github.com/pachecobeto95/distortion](https://github.com/pachecobeto95/distortion) 20 | 21 | [6] Efficient Network Reliability Evaluation for Client-Server Model 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685283](https://ieeexplore.ieee.org/abstract/document/9685283) 23 | * Code: [https://github.com/kunisura/TdZdd](https://github.com/kunisura/TdZdd) 24 | 25 | [7] Emulation of LTE/5G Over a Lightweight Open-Platform: Re-configuration Delay Analysis 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685093](https://ieeexplore.ieee.org/abstract/document/9685093) 27 | * Code: [https://github.com/captnko/4GonK8S](https://github.com/captnko/4GonK8S) 28 | 29 | [8] Enabling Real-Time Dashboards for Anxiety Risk Classification Using the Internet of Things 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685683](https://ieeexplore.ieee.org/abstract/document/9685683) 31 | * Code: [https://github.com/HDRUK/datasets](https://github.com/HDRUK/datasets) 32 | 33 | [9] Energy-Efficient Cooperative Backscattering Closed-Form Solution for NOMA 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685176](https://ieeexplore.ieee.org/abstract/document/9685176) 35 | * Code: [https://github.com/HajarElhassani/EE](https://github.com/HajarElhassani/EE) 36 | 37 | [10] Engineering and Experimentally Benchmarking a Serverless Edge Computing System 38 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685235](https://ieeexplore.ieee.org/abstract/document/9685235) 39 | * Code: [https://github.com/fcarp10/openfaas-function](https://github.com/fcarp10/openfaas-function) 40 | * Code: [https://github.com/dgzlopes/tcp-latenc](https://github.com/dgzlopes/tcp-latenc) 41 | * Code: [https://ithub.com/rakyll/hey](https://ithub.com/rakyll/hey) 42 | 43 | [11] Federated Learning for Air Quality Index Prediction using UAV Swarm Networks 44 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685991](https://ieeexplore.ieee.org/abstract/document/9685991) 45 | * Code: [https://github.com/prateekchhikara/UAV](https://github.com/prateekchhikara/UAV) 46 | 47 | [12] Improving DASH Encoding with Scenes and Downscaling Techniques for VoD Streaming 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685880](https://ieeexplore.ieee.org/abstract/document/9685880) 49 | * Code: [https://github.com/gpac/gpac](https://github.com/gpac/gpac) 50 | 51 | [13] In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685791](https://ieeexplore.ieee.org/abstract/document/9685791) 53 | * Code: [https://github.com/Huanzhuo/pICA](https://github.com/Huanzhuo/pICA) 54 | 55 | [14] Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685636](https://ieeexplore.ieee.org/abstract/document/9685636) 57 | * Code: [https://github.com/celi52/caskernel](https://github.com/celi52/caskernel) 58 | 59 | **[15] Machine Learning Aided Path Loss Estimator and Jammer Detector for Heterogeneous Vehicular Networks** 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685428](https://ieeexplore.ieee.org/abstract/document/9685428) 61 | * Code: [https://github.com/bugratu/HeterogenousV](https://github.com/bugratu/HeterogenousV ) 62 | 63 | [16] MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685564](https://ieeexplore.ieee.org/abstract/document/9685564) 65 | * Code: [https://github.com/katarinavuckovic/MAPCSI](https://github.com/katarinavuckovic/MAPCSI) 66 | 67 | [17] Placement of Package Delivery Center for UAVs with Machine Learning 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685951](https://ieeexplore.ieee.org/abstract/document/9685951) 69 | * Code: [www.github.com/cosai/UAVPackageSyntheticData](www.github.com/cosai/UAVPackageSyntheticData) 70 | 71 | [18] PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams 72 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685338](https://ieeexplore.ieee.org/abstract/document/9685338) 73 | * Code: [https://github.com/Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation](https://github.com/Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation) 74 | 75 | [19] Quality Optimization of Live Streaming Services over HTTP with Reinforcement Learning 76 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685933](https://ieeexplore.ieee.org/abstract/document/9685933) 77 | * Code: [https://github.com/itu-p1203](https://github.com/itu-p1203) 78 | 79 | [20] QuantumFed: A Federated Learning Framework for Collaborative Quantum Training 80 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685012](https://ieeexplore.ieee.org/abstract/document/9685012) 81 | * Code: [https://github.com/qutip/qutip](https://github.com/qutip/qutip) 82 | 83 | [21] Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading 84 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685374](https://ieeexplore.ieee.org/abstract/document/9685374) 85 | * Code: [https://github.com/MithunHub/GC2021Offloading](https://github.com/MithunHub/GC2021Offloading) 86 | 87 | [22] Reinforcement Learning Random Access for Delay-Constrained Heterogeneous Wireless Networks: A Two-User Case 88 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9682032](https://ieeexplore.ieee.org/abstract/document/9682032) 89 | * Code: [https://github.com/DanzhouWu/TSRA/tree/main/TransitionProbaility](https://github.com/DanzhouWu/TSRA/tree/main/TransitionProbaility) 90 | 91 | [23] Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks 92 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685457](https://ieeexplore.ieee.org/abstract/document/9685457) 93 | * Code: [https://github.com/zhangxiaochen95/hignn](https://github.com/zhangxiaochen95/hignn) 94 | 95 | [24] Toward Sustainable Cycling: Modelling and Visualization Issues of Cycle Paths for IoT-based Sensing 96 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9682043](https://ieeexplore.ieee.org/abstract/document/9682043) 97 | * Code: [https://github.com/lablara/cyclingview.git](https://github.com/lablara/cyclingview.git) 98 | 99 | **[25] V2X-based COVID-19 Pandemic Severity Reduction in Smart Cities** 100 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685503](https://ieeexplore.ieee.org/abstract/document/9685503) 101 | * Code: [https://github.com/openledger/openledger](https://github.com/openledger/openledger) 102 | * Code: [https://github.com/arthurgervais/Bitcoin-Simulator](https://github.com/arthurgervais/Bitcoin-Simulator) 103 | 104 | [26] VAPNIC: A VersAtile shortest path-free VNF Placement using a divide-and-coNquer tactIC 105 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9685195](https://ieeexplore.ieee.org/abstract/document/9685195) 106 | * Code: [www.github.com/VAPNIC](www.github.com/VAPNIC) -------------------------------------------------------------------------------- /Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2023_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] 5G-IoT-IDS: Intrusion Detection System for CIoT as Network Function in 5G Core Network 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437158](https://ieeexplore.ieee.org/abstract/document/10437158) 3 | * Code: [https://github.com/NLag/IDSF_Python](https://github.com/NLag/IDSF_Python) 4 | * Code: [https://github.com/etactica/mqtt-malaria](https://github.com/etactica/mqtt-malaria) 5 | * Code: [https://github.com/aligungr/UERANSIM](https://github.com/aligungr/UERANSIM) 6 | * Code: [https://github.com/securitylab-repository/open5gs_ciot](https://github.com/securitylab-repository/open5gs_ciot) 7 | 8 | [2] A Blockchain Consensus Protocol Based on Fuzzy Signatures 9 | * Paper: [https://ieeexplore.ieee.org/document/10437855](https://ieeexplore.ieee.org/document/10437855) 10 | * Code: [https://github.com/secomms/PoFS](https://github.com/secomms/PoFS) 11 | 12 | [3] A From-Scratch Approach to Deep Unfolding-Aided Bilinear Gaussian Belief Propagation for Correlated Large MIMO 13 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437597](https://ieeexplore.ieee.org/abstract/document/10437597) 14 | * Code: [https://github.com/MakiKoichi/T-BiGaBP](https://github.com/MakiKoichi/T-BiGaBP) 15 | 16 | [4] A Game-Theoretic Federated Learning Approach for Ship Detection from Aerial Images 17 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437089](https://ieeexplore.ieee.org/abstract/document/10437089) 18 | * Code: [https://github.com/supriyayj/Federated-Learning-game-theory/blob/main/ship-aerial-game-theory-federated-learning](https://github.com/supriyayj/Federated-Learning-game-theory/blob/main/ship-aerial-game-theory-federated-learning) 19 | 20 | [5] A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading 21 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437346](https://ieeexplore.ieee.org/abstract/document/10437346) 22 | * Code: [https://github.com/qiyu3816/MTFNN-CO](https://github.com/qiyu3816/MTFNN-CO) 23 | 24 | [6] AI Generated Signal for Wireless Sensing 25 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437736](https://ieeexplore.ieee.org/abstract/document/10437736) 26 | * Code: [https://github.com/hxhebit/AIGSWS](https://github.com/hxhebit/AIGSWS) 27 | 28 | [7] Automated Clinical Note Section Identification Using Transfer Learning and Contextual Embeddings 29 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10425802](https://ieeexplore.ieee.org/abstract/document/10425802) 30 | * Code: [https://github.com/NamrataNair](https://github.com/NamrataNair) 31 | 32 | [8] BBB: A Lightweight Approach to Evaluate Private Blockchains in Clouds 33 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9322354](https://ieeexplore.ieee.org/abstract/document/9322354) 34 | * Code: [https://github.com/haochenpan/BBB](https://github.com/haochenpan/BBB) 35 | 36 | [9] Content-Aware Proportional Caching for Efficient Data Delivery over Satellite Network 37 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437961](https://ieeexplore.ieee.org/abstract/document/10437961) 38 | * Code: [https://github.com/Codecademy/datasets/tree/master/twitch](https://github.com/Codecademy/datasets/tree/master/twitch) 39 | 40 | [10] Cooperative Partial Task-Offloading for Heterogeneous Industrial Robotic MEC System Using Spectral and Energy-Efficient Federated Learning 41 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436994](https://ieeexplore.ieee.org/abstract/document/10436994) 42 | * Code: [https://github.com/Mohsenpourghasemian/Robotic](https://github.com/Mohsenpourghasemian/Robotic) 43 | 44 | [11] Cost-Effective Migration-Assisted User Reallocation in Edge Computing 45 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437434](https://ieeexplore.ieee.org/abstract/document/10437434) 46 | * Code: [https://github.com/swinedge/euadataset](https://github.com/swinedge/euadataset) 47 | 48 | [12] Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities 49 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437281](https://ieeexplore.ieee.org/abstract/document/10437281) 50 | * Code: [https://github.com/samiemostafavi/wireless-pr3d](https://github.com/samiemostafavi/wireless-pr3d) 51 | 52 | [13] Decoupling Detectors for Scalable Anomaly Detection in AIoT Systems with Multiple Machines 53 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436800](https://ieeexplore.ieee.org/abstract/document/10436800) 54 | * Code: [www.github.com/hqj-les30/MobileAnoNet](www.github.com/hqj-les30/MobileAnoNet) 55 | 56 | [14] DeepJSCC-1++: Robust and Bandwidth-Adaptive Wireless Image Transmission 57 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436878](https://ieeexplore.ieee.org/abstract/document/10436878) 58 | * Code: [https://github.com/aprilbian/deepjscc-lplusplus](https://github.com/aprilbian/deepjscc-lplusplus) 59 | 60 | [15] DeTrAP: A Novel AI/ML V2X 5G NR Adaptive Physical Layer Configuration 61 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437042](https://ieeexplore.ieee.org/abstract/document/10437042) 62 | * Code: [https://github.com/alessandrobazzi/LTEV2Vsim](https://github.com/alessandrobazzi/LTEV2Vsim) 63 | 64 | [16] DRUDGE: Dynamic Resource Usage Data Generation for Extreme Edge Devices 65 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437760](https://ieeexplore.ieee.org/abstract/document/10437760) 66 | * Code: [https://github.com/RuslanKain/rump-ec](https://github.com/RuslanKain/rump-ec) 67 | 68 | [17] End-Edge Coordinated Joint Encoding and Neural Enhancement for Low-Light Video Analytics 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436757](https://ieeexplore.ieee.org/abstract/document/10436757) 70 | * Code: [https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5) 71 | 72 | [18] Energy-Aware Inter-Data Center VM Migration Over Elastic Optical Networks 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437235](https://ieeexplore.ieee.org/abstract/document/10437235) 74 | * Code: [https://github.com/fatima-amri/VM-Migration-over-EON](https://github.com/fatima-amri/VM-Migration-over-EON) 75 | 76 | [19] Enhancing Cyber Threat Intelligence with Named Entity Recognition using BERT-CRF 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436853](https://ieeexplore.ieee.org/abstract/document/10436853) 78 | * Code: [https://github.com/stwater20/ner_bert_crf_open_version](https://github.com/stwater20/ner_bert_crf_open_version) 79 | 80 | [20] Federated Learning with Client Availability Budgets 81 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437111](https://ieeexplore.ieee.org/abstract/document/10437111) 82 | * Code: [https://github.com/denoslab/FedCAB](https://github.com/denoslab/FedCAB) 83 | 84 | [21] Harnessing Speech Recognition for Enhanced Signal Processing of Satellite Communications 85 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437044](https://ieeexplore.ieee.org/abstract/document/10437044) 86 | * Code: [https://github.com/phelps-matthew/wav2vec-rf](https://github.com/phelps-matthew/wav2vec-rf) 87 | 88 | [22] How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? 89 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437780](https://ieeexplore.ieee.org/abstract/document/10437780) 90 | * Code: [http://www.github.com/ahmadnagib/forecasting-aided-DRL](http://www.github.com/ahmadnagib/forecasting-aided-DRL) 91 | 92 | [23] Incentive Mechanism Design for Distributed Ensemble Learning 93 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436862](https://ieeexplore.ieee.org/abstract/document/10436862) 94 | * Code: [https://github.com/PengchaoHan/IncentiveMechanism-Design-for-Distributed-Ensemble-Learning](https://github.com/PengchaoHan/IncentiveMechanism-Design-for-Distributed-Ensemble-Learning) 95 | 96 | [24] IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic 97 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10426522](https://ieeexplore.ieee.org/abstract/document/10426522) 98 | * Code: [https://github.com/GintsEngelen/CICFlowMeter](https://github.com/GintsEngelen/CICFlowMeter) 99 | 100 | [25] Joint Placement, Routing and Dimensioning at the Network Edge for Energy Minimization 101 | * Paper: [https://ieeexplore.ieee.org/document/10437799](https://ieeexplore.ieee.org/document/10437799) 102 | * Code: [https://github.com/melkael/mcf-energy](https://github.com/melkael/mcf-energy) 103 | 104 | [26] Measurement-Based Modeling of Short Range Terahertz Channels and Their Capacity Analysis 105 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437716](https://ieeexplore.ieee.org/abstract/document/10437716) 106 | * Code: [https://github.com/erhankarakoca/DPGMM-Channel-Modelling](https://github.com/erhankarakoca/DPGMM-Channel-Modelling) 107 | 108 | [27] Modelling Technique for GDPR-Compliance: Toward a Comprehensive Solution 109 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437389](https://ieeexplore.ieee.org/abstract/document/10437389) 110 | * Code: [https://github.com/irembesik/gdpr-ontology](https://github.com/irembesik/gdpr-ontology) 111 | * Code: [https://github.com/nailaazam/ModellingGDPRCompliance/blob/main/template/nonCompliant.tb7](https://github.com/nailaazam/ModellingGDPRCompliance/blob/main/template/nonCompliant.tb7) 112 | * Code: [https://github.com/nailaazam/ModellingGDPRCompliance](https://github.com/nailaazam/ModellingGDPRCompliance) 113 | 114 | [28] Multi Type Water Contaminant Identification Using Electrochemical Impedance Spectroscopy and Machine Learning at Network Edge 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437872](https://ieeexplore.ieee.org/abstract/document/10437872) 116 | * Code: [https://github.com/Harsha-Samavedam/ML-EIS](https://github.com/Harsha-Samavedam/ML-EIS) 117 | 118 | [29] Non-Convex Optimization of Energy Efficient Power Control in Interference Networks via Machine Learning 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437080](https://ieeexplore.ieee.org/abstract/document/10437080) 120 | * Code: [https://github.com/bilepeng/ee](https://github.com/bilepeng/ee) 121 | 122 | [30] Practical and Privacy-Preserving Density-Based Clustering via Shuffling 123 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437594](https://ieeexplore.ieee.org/abstract/document/10437594) 124 | * Code: [https://github.com/deric/clustering-benchmark](https://github.com/deric/clustering-benchmark) 125 | 126 | [31] QoE-driven Joint Decision-Making for Multipath Adaptive Video Streaming 127 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437877](https://ieeexplore.ieee.org/abstract/document/10437877) 128 | * Code: [https://github.com/clarkzjw/globecom2023](https://github.com/clarkzjw/globecom2023) 129 | 130 | [32] Resource-Constrained Specific Emitter Identification Using End-to-End Sparse Feature Selection 131 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436740](https://ieeexplore.ieee.org/abstract/document/10436740) 132 | * Code: [https://github.com/sleepeach/SFS-SEI](https://github.com/sleepeach/SFS-SEI) 133 | 134 | [33] RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI 135 | * Paper: [https://ieeexplore.ieee.org/document/10437049](https://ieeexplore.ieee.org/document/10437049) 136 | * Code: [https://github.com/bilepeng/risnet_partial_csi](https://github.com/bilepeng/risnet_partial_csi) 137 | 138 | [34] Securing Offshore Installations Against Automatic Identification System Spoofing 139 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437123](https://ieeexplore.ieee.org/abstract/document/10437123) 140 | * Code: [https://github.com/dgiardini/rtl-ais](https://github.com/dgiardini/rtl-ais) 141 | * Code: [https://github.com/jvde-github/AIS-catcher](https://github.com/jvde-github/AIS-catcher) 142 | 143 | [35] Soft-Ack based Outer Loop Link Adaptation for Latency-constrained 5G Video Conferencing 144 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437503](https://ieeexplore.ieee.org/abstract/document/10437503) 145 | * Code: [https://github.com/Evan-sudo/Soft-ACK-based-OuterLoop-Link-Adaptation-for-Latency-constrained-5G-VideoConferencing](https://github.com/Evan-sudo/Soft-ACK-based-OuterLoop-Link-Adaptation-for-Latency-constrained-5G-VideoConferencing) 146 | 147 | [36] Towards Edge-Assisted Trajectory Prediction for Connected Autonomous Vehicles 148 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437498?signout=success](https://ieeexplore.ieee.org/abstract/document/10437498?signout=success) 149 | * Code: [https://github.com/papercode202/papercode.git](https://github.com/papercode202/papercode.git) 150 | 151 | [37] UMS: Live Migration of Containerized Services across Autonomous Computing Systems 152 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437519](https://ieeexplore.ieee.org/abstract/document/10437519) 153 | * Code: [https://github.com/hpcclab/NIMS](https://github.com/hpcclab/NIMS) 154 | 155 | [38] Understanding and Identifying Cross-Platform UI Framework Based Potentially Unwanted Apps 156 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436888](https://ieeexplore.ieee.org/abstract/document/10436888) 157 | * Code: [https://github.com/keredson/wordninja](https://github.com/keredson/wordninja) 158 | 159 | [39] Unsupervised Deep Learning for an Image Based Network Intrusion Detection System 160 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437636](https://ieeexplore.ieee.org/abstract/document/10437636) 161 | * Code: [https://github.com/rjhosler/Image-NIDS](https://github.com/rjhosler/Image-NIDS) 162 | 163 | [40] Unsupervised Feature Engineering Approach to Predict DDoS Attacks 164 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437029](https://ieeexplore.ieee.org/abstract/document/10437029) 165 | * Code: [https://github.com/andersonneira/globecom-2023-data](https://github.com/andersonneira/globecom-2023-data) 166 | 167 | [41] VNFO-DCSC: A Novel Secure End-to-End NFV Marketplace Using Dynamic Composite Smart Contracts 168 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10436770](https://ieeexplore.ieee.org/abstract/document/10436770) 169 | * Code: [https://github.com/Smart-Contracts-Verification/SCwithOpenstack.git](https://github.com/Smart-Contracts-Verification/SCwithOpenstack.git) 170 | 171 | [42] Website Fingerprinting with Packet Sampling: A More Realistic Approach in Real-World Networks 172 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437244](https://ieeexplore.ieee.org/abstract/document/10437244) 173 | * Code: [https://github.com/code-flyer/SAPWF](https://github.com/code-flyer/SAPWF) 174 | 175 | [43] When Machine Learning Meets Raft: How to Elect a Leader over a Network 176 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10437805](https://ieeexplore.ieee.org/abstract/document/10437805) 177 | * Code: [https://github.com/kohoumas/Raft-ML](https://github.com/kohoumas/Raft-ML) 178 | -------------------------------------------------------------------------------- /Conference_paper/ICC_Paper_with_code/ICC2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9148685](https://ieeexplore.ieee.org/abstract/document/9148685) 4 | * Code: [github.com/fg-inet/vagrant-omnet-simulation-mobility](github.com/fg-inet/vagrant-omnet-simulation-mobility) 5 | 6 | [2] ACETA: Accelerating Encrypted Traffic Analytics on Network Edge 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9148798](https://ieeexplore.ieee.org/abstract/document/9148798) 8 | * Code: [https://github.com/BlueJayADAL/NetML](https://github.com/BlueJayADAL/NetML) 9 | 10 | [3] LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9149180](https://ieeexplore.ieee.org/abstract/document/9149180) 12 | * Code: [https://github.com/BenSliwa/LIMITS](https://github.com/BenSliwa/LIMITS) 13 | 14 | [4] Location- and Orientation-Aided Millimeter Wave Beam Selection Using Deep Learning 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9149272](https://ieeexplore.ieee.org/abstract/document/9149272) 16 | * Code: [https://github.com/SajadRezaie/OriLocBeamSelection](https://github.com/SajadRezaie/OriLocBeamSelection) 17 | 18 | [5] MQTT-ST: a Spanning Tree Protocol for Distributed MQTT Brokers 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9149046](https://ieeexplore.ieee.org/abstract/document/9149046) 20 | * Code: [https://github.com/ANTLab-polimi/MQTT-ST](https://github.com/ANTLab-polimi/MQTT-ST) 21 | 22 | [6] Multi-resolution CSI Feedback with Deep Learning in Massive MIMO System 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9149229](https://ieeexplore.ieee.org/abstract/document/9149229) 24 | * Code: [https://github.com/Kylin9511/CRNet](https://github.com/Kylin9511/CRNet) 25 | 26 | [7] Towards Designing an Effective Complexity Indicator for Audio Steganography 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9148992](https://ieeexplore.ieee.org/abstract/document/9148992) 28 | * Code: [https://github.com/capzxy/audio-complexity](https://github.com/capzxy/audio-complexity) 29 | 30 | ## Workshop论文 31 | [8] BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems 32 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9145068](https://ieeexplore.ieee.org/abstract/document/9145068) 33 | * Code: [https://github.com/shaojiawei07/BottleNetPlusPlus](https://github.com/shaojiawei07/BottleNetPlusPlus) 34 | -------------------------------------------------------------------------------- /Conference_paper/ICC_Paper_with_code/ICC2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] Aletheia: A Lightweight Tool for WiFi Medium Analysis on The Edge 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500688](https://ieeexplore.ieee.org/abstract/document/9500688) 4 | * Code: [https://github.com/SBU-MoCA/Aletheia-WiFi](https://github.com/SBU-MoCA/Aletheia-WiFi) 5 | 6 | [2] An Experimental Framework for Age of Information and Networked Control via Software-Defined Radios 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500435](https://ieeexplore.ieee.org/abstract/document/9500435) 8 | * Code: [https://github.com/oayan/gr-ieee802-15-4/tree/maint-3.7](https://github.com/oayan/gr-ieee802-15-4/tree/maint-3.7) 9 | 10 | **[3] Content Driven and Reinforcement Learning Based Resource Allocation Scheme in Vehicular Network** 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500865](https://ieeexplore.ieee.org/abstract/document/9500865) 12 | * Code: [https://github.com/Jiujiuchen0618/Jiujiuchen](https://github.com/Jiujiuchen0618/Jiujiuchen) 13 | 14 | [4] DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500964](https://ieeexplore.ieee.org/abstract/document/9500964) 16 | * Code: [https://github.com/GeminiLight/drl-sfcp](https://github.com/GeminiLight/drl-sfcp) 17 | 18 | [5] Enabling Real-Time AI Edge Video Analytics 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500902](https://ieeexplore.ieee.org/abstract/document/9500902) 20 | * Code: [https://github.com/blind-review-process](https://github.com/blind-review-process) 21 | 22 | [6] Fast SC-Flip Decoding of Polar Codes with Reinforcement Learning 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500904](https://ieeexplore.ieee.org/abstract/document/9500904) 24 | * Code: [https://github.com/nghiadt05/RL-FSCF](https://github.com/nghiadt05/RL-FSCF) 25 | 26 | [7] HoneyVP: A Cost-Effective Hybrid Honeypot Architecture for Industrial Control Systems 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500567](https://ieeexplore.ieee.org/abstract/document/9500567) 28 | * Code: [https://github.com/mushorg/oschameleon](https://github.com/mushorg/oschameleon) 29 | * Code:[https://github.com/nmap/nmap](https://github.com/nmap/nmap) 30 | * Code:[https://github.com/digitalbond/Redpoint](https://github.com/digitalbond/Redpoint) 31 | 32 | [8] Multi-Task Hierarchical Learning Based Network Traffic Analytics 33 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500546](https://ieeexplore.ieee.org/abstract/document/9500546) 34 | * Code: [https://github.com/ACANETS/NetML-Competition2020](https://github.com/ACANETS/NetML-Competition2020) 35 | 36 | [9] My Site Knows Where You Are: A Novel Browser Fingerprint to Track User Position 37 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500556](https://ieeexplore.ieee.org/abstract/document/9500556) 38 | * Code: [https://github.com/1362860831/PingLoc](https://github.com/1362860831/PingLoc) 39 | 40 | [10] Performance evaluation of feature selection and tree-based algorithms for traffic classification 41 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9473580](https://ieeexplore.ieee.org/abstract/document/9473580) 42 | * Code: [https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost) 43 | * Code:[https://github.com/microsoft/LightGBM/tree/master/python-package](https://github.com/microsoft/LightGBM/tree/master/python-package) 44 | 45 | [11] Unsupervised IoT Fingerprinting Method via Variational Auto-encoder and K-means 46 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9500301](https://ieeexplore.ieee.org/abstract/document/9500301) 47 | * Code: [https://github.com/dcae26/IoT_Cluster](https://github.com/dcae26/IoT_Cluster) 48 | 49 | ## Workshop论文 50 | [12] Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9473660](https://ieeexplore.ieee.org/abstract/document/9473660) 52 | * Code: [https://github.com/Huanzhuo/IA-Net](https://github.com/Huanzhuo/IA-Net) 53 | 54 | [13] Implementation and Orchestration of IEEE 802.1CB FRER in OMNeT++ 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9473722](https://ieeexplore.ieee.org/abstract/document/9473722) 56 | * Code: [https://github.com/UHH-ISS/omnet-802.1cb](https://github.com/UHH-ISS/omnet-802.1cb) 57 | 58 | [14] Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9473693](https://ieeexplore.ieee.org/abstract/document/9473693) 60 | * Code: [https://github.com/tomerraviv95/MetaViterbiNet](https://github.com/tomerraviv95/MetaViterbiNet) 61 | 62 | -------------------------------------------------------------------------------- /Conference_paper/ICC_Paper_with_code/ICC2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] A Blockchain-based System for Secure and Distributed Virtual Network Functions Orchestration 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839221](https://ieeexplore.ieee.org/abstract/document/9839221) 4 | * Code: [https://github.com/GTA-UFRJ-team/NFVIaaS-Distributed-Orchestration](https://github.com/GTA-UFRJ-team/NFVIaaS-Distributed-Orchestration) 5 | 6 | [2] A Robust Adversarial Network-Based End-to-End Communications System with Strong Generalization Ability Against Adversarial Attacks 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838452](https://ieeexplore.ieee.org/abstract/document/9838452) 8 | * Code: [https://github.com/YudiDong/GAN-based-E2E-communications-system-for-defense-against-adversarial-attack](https://github.com/YudiDong/GAN-based-E2E-communications-system-for-defense-against-adversarial-attack) 9 | 10 | **[3] A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles** 11 | * Paper: [https://ieeexplore.ieee.org/document/9838780](https://ieeexplore.ieee.org/document/9838780) 12 | * Code: [https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning](https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning) 13 | 14 | [4] ABBA: Advance Block Body Agreement for Scaling Blockchain Networks 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839070](https://ieeexplore.ieee.org/abstract/document/9839070) 16 | * Code: [https://github.com/blockchain-simulator/blockchain__simulator](https://github.com/blockchain-simulator/blockchain__simulator) 17 | 18 | [5] ActLoRa: Supporting Actuators in LoRaWAN 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839166/](https://ieeexplore.ieee.org/abstract/document/9839166/) 20 | * Code: [https://github.com/deltazita/ActLoRa](https://github.com/deltazita/ActLoRa) 21 | 22 | [6] An experimental study of latency for ieee 802.11 be multi-link operation 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838765](https://ieeexplore.ieee.org/abstract/document/9838765) 24 | * Code: [https://github.com/sergiobarra/WACA_WiFiAnalyzer](https://github.com/sergiobarra/WACA_WiFiAnalyzer) 25 | 26 | [7] Cache allocation in multi-tenant edge computing via online reinforcement learning 27 | * Paper: [https://ieeexplore.ieee.org/document/9838489](https://ieeexplore.ieee.org/document/9838489) 28 | * Code: [https://github.com/Ressource-Allocation/Cache-Allocation-Project](https://github.com/Ressource-Allocation/Cache-Allocation-Project) 29 | 30 | [8] Contention-free Scheduling of Periodic Traffic Sources in WiGig: Simulation Framework and Performance Analysis 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838907](https://ieeexplore.ieee.org/abstract/document/9838907) 32 | * Code: [https://github.com/signetlabdei/ns3-802.11ad-scheduling](https://github.com/signetlabdei/ns3-802.11ad-scheduling) 33 | 34 | [9] Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838942](https://ieeexplore.ieee.org/abstract/document/9838942) 36 | * Code: [https://github.com/jmpr0/dpa-autoencoders](https://github.com/jmpr0/dpa-autoencoders) 37 | 38 | [10] Decentralized Trajectory and Power Control Based on Multi-Agent Deep Reinforcement Learning in UAV Networks 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838637](https://ieeexplore.ieee.org/abstract/document/9838637) 40 | * Code: [https://github.com/chenbq/ICC_2022_CBQ](https://github.com/chenbq/ICC_2022_CBQ) 41 | 42 | [11] Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838685](https://ieeexplore.ieee.org/abstract/document/9838685) 44 | * Code: [https://github.com/aprilbian/NOS-code](https://github.com/aprilbian/NOS-code) 45 | 46 | [12] DNN gradient lossless compression: Can GenNorm be the answer? 47 | * Paper: [https://ieeexplore.ieee.org/document/9838754](https://ieeexplore.ieee.org/document/9838754) 48 | * Code: [https://github.com/Chen-Zhong-Jing/Save_Model_Gradient](https://github.com/Chen-Zhong-Jing/Save_Model_Gradient) 49 | 50 | [13] FedAux: An Efficient Framework for Hybrid Federated Learning 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839129](https://ieeexplore.ieee.org/abstract/document/9839129) 52 | * Code: [https://github.com/guhang987/FedAux](https://github.com/guhang987/FedAux) 53 | 54 | [14] Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838875](https://ieeexplore.ieee.org/abstract/document/9838875) 56 | * Code: [https://github.com/EricXuWang/Anomaly-Detection-in-Energy-Storage-Systems-without-Prior-Knowledg](https://github.com/EricXuWang/Anomaly-Detection-in-Energy-Storage-Systems-without-Prior-Knowledg) 57 | 58 | [15] Impact of Link Availability Uncertainty on Network Reliability: Analyses with Variances 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838781](https://ieeexplore.ieee.org/abstract/document/9838781) 60 | * Code: [https://github.com/nttcslab/variance-net-reliability](https://github.com/nttcslab/variance-net-reliability) 61 | 62 | [16] Improving LoRaWAN Performance by Randomizing Network Access for Data and On-Air Activation 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838306](https://ieeexplore.ieee.org/abstract/document/9838306) 64 | * Code: [https://github.com/kvmikhayl/LoRaWAN_traffic_pattern](https://github.com/kvmikhayl/LoRaWAN_traffic_pattern) 65 | 66 | [17] Intelligent Reflecting Surface OFDM Communication with Deep Neural Prior 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838732](https://ieeexplore.ieee.org/abstract/document/9838732) 68 | * Code: [https://github.com/tofi98/DeepIRS](https://github.com/tofi98/DeepIRS) 69 | 70 | [18] Intrusion detection for softwarized networks with semi-supervised federated learning 71 | * Paper: [https://ieeexplore.ieee.org/document/9839042](https://ieeexplore.ieee.org/document/9839042) 72 | * Code: [https://github.com/aouedions11/Semi-supervised-Federated-Learning-for-IDS.git](https://github.com/aouedions11/Semi-supervised-Federated-Learning-for-IDS.git) 73 | 74 | [19] Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients 75 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838349](https://ieeexplore.ieee.org/abstract/document/9838349) 76 | * Code: [https://github.com/Steffengra/resourceallocation/tree/master/scheduling_policygradient](https://github.com/Steffengra/resourceallocation/tree/master/scheduling_policygradient) 77 | 78 | [20] Measurement-Driven Flow Selection for Open vSwitch Offload 79 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838661](https://ieeexplore.ieee.org/abstract/document/9838661) 80 | * Code: [https://github.com/Kunhao18/offload-simulation](https://github.com/Kunhao18/offload-simulation) 81 | * Data: [https://github.com/Kunhao18/flow-dataset](https://github.com/Kunhao18/flow-dataset) 82 | 83 | [21] MILP: A Memory Improved LSTM Prediction Algorithm for Gradient Transmission Time in Distributed Deep Learning 84 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839224](https://ieeexplore.ieee.org/abstract/document/9839224) 85 | * Code: [https://github.com/surprisejxb789/MILP](https://github.com/surprisejxb789/MILP) 86 | 87 | [22] Neural capacity estimators: How reliable are they? 88 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838516](https://ieeexplore.ieee.org/abstract/document/9838516) 89 | * Code: [https://github.com/Farhad-Mrkm/NCE_ICC-2022](https://github.com/Farhad-Mrkm/NCE_ICC-2022) 90 | 91 | [23] OSBulk: Optimal Sparse Bulk Transfer 92 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838579](https://ieeexplore.ieee.org/abstract/document/9838579) 93 | * Code: [https://github.com/chengjiangnan/MPP](https://github.com/chengjiangnan/MPP) 94 | 95 | [24] Pandemic-Aware Electric Load Forecasting: A Multitask Bidirectional LSTM/CNN Model 96 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838768](https://ieeexplore.ieee.org/abstract/document/9838768) 97 | * Code: [https://github.com/marwanghalib/multitask_covid_19_load_forecasting](https://github.com/marwanghalib/multitask_covid_19_load_forecasting) 98 | 99 | [25] Poisson noise channel with dark current: Numerical computation of the optimal input distribution 100 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838555](https://ieeexplore.ieee.org/abstract/document/9838555) 101 | * Code: [https://github.com/ucando83/PoissonCapacity](https://github.com/ucando83/PoissonCapacity) 102 | 103 | [26] PPO-based Reliable Concurrent Transmission Control for Telemedicine Real-time Services 104 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839084](https://ieeexplore.ieee.org/abstract/document/9839084) 105 | * Code: [https://github.com/lkseagle/linkmonitor](https://github.com/lkseagle/linkmonitor) 106 | 107 | [27] Reinforcement Learning-Based Global Programming for Energy Efficiency in Multi-Cell Interference Networks 108 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838408](https://ieeexplore.ieee.org/abstract/document/9838408) 109 | * Code: [https://gitlab.com/ichbinram/rl-ee-opt](https://gitlab.com/ichbinram/rl-ee-opt) 110 | 111 | [28] Securing wireless payment-channel networks with minimum lock time windows 112 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839064](https://ieeexplore.ieee.org/abstract/document/9839064) 113 | * Code: [https://github.com/gfrebello/pcn-time-window](https://github.com/gfrebello/pcn-time-window) 114 | 115 | [29] Synthetic LiFi Channel Model Using Generative Adversarial Networks 116 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9838481](https://ieeexplore.ieee.org/abstract/document/9838481) 117 | * Code: [https://github.com/ardimasp/owcsimpy](https://github.com/ardimasp/owcsimpy) 118 | 119 | [30] TokenCat: Detect Flaw of Authentication on ERC20 Tokens 120 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839252](https://ieeexplore.ieee.org/abstract/document/9839252) 121 | * Code: [https://github.com/hzysvilla/TokenCat/](https://github.com/hzysvilla/TokenCat/) 122 | 123 | [31] TBFT: Efficient Byzantine Fault Tolerance Using Trusted Execution Environment 124 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839169/](https://ieeexplore.ieee.org/abstract/document/9839169/) 125 | * Code: [https://github.com/TBFT/TBFT-Protocol](https://github.com/TBFT/TBFT-Protocol) 126 | 127 | [32] QoE-DASH: DASH QoE Performance Evaluation Tool for Edge-Cache and Recommendation 128 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839234](https://ieeexplore.ieee.org/abstract/document/9839234) 129 | * Code: [https://github.com/LABORA-INF-UFG/QoE-DASH](https://github.com/LABORA-INF-UFG/QoE-DASH) 130 | 131 | [33] PION: Password-based IoT Onboarding Over Named Data Networking 132 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839088](https://ieeexplore.ieee.org/abstract/document/9839088) 133 | * Code: [https://github.com/usnistgov/PION](https://github.com/usnistgov/PION) 134 | 135 | [34] Deep Learning-Based Cooperative CSI Feedback via Multiple Receiving Antennas in Massive MIMO 136 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9839111](https://ieeexplore.ieee.org/abstract/document/9839111) 137 | * Code: [https://github.com/ch28/MRNet](https://github.com/ch28/MRNet) 138 | 139 | ## Workshop论文 140 | [35] Unsupervised deep learning to solve power allocation problems in cognitive relay networks 141 | * Paper: [https://ieeexplore.ieee.org/document/9814541](https://ieeexplore.ieee.org/document/9814541) 142 | * Code: [https://github.com/yacine074/USDNN-to-solve-powerallocation-problems-in-CRAN.git](https://github.com/yacine074/USDNN-to-solve-powerallocation-problems-in-CRAN.git) -------------------------------------------------------------------------------- /Conference_paper/ICC_Paper_with_code/ICC2024_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | 3 | ### ICC 2024 - IEEE International Conference on Communications 4 | 5 | [1] A Deep Learning Based Decoder for Concatenated Coding Over Deletion Channels 6 | 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622561](https://ieeexplore.ieee.org/abstract/document/10622561) 8 | * Code: [https://github.com/Bilkent-CTAR-Lab/DNN-for-Deletion-Channel](https://github.com/Bilkent-CTAR-Lab/DNN-for-Deletion-Channel) 9 | 10 | [2] A Robust Malicious Traffic Detection Framework with Low-quality Labeled Data 11 | 12 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10623013](https://ieeexplore.ieee.org/abstract/document/10623013) 13 | * Code: [ https://github.com/gcx-Yuan/Malicious_TLS]( https://github.com/gcx-Yuan/Malicious_TLS) 14 | 15 | [3] An Edge/Cloud Continuum with Wearable Kinetic Energy Harvesting IoT Devices in Remote Areas 16 | 17 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622285](https://ieeexplore.ieee.org/abstract/document/10622285) 18 | * Code: [https://github.com/Jasenka11/IoT-continuum](https://github.com/Jasenka11/IoT-continuum) 19 | 20 | [4] Cell-Free Massive MIMO Beamforming Based on Radio Map 21 | 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622568](https://ieeexplore.ieee.org/abstract/document/10622568) 23 | * Code: [https://github.com/yangbinxd/radio-map.git]( https://github.com/yangbinxd/radio-map.git) 24 | 25 | [5] Computer Vision-Aided Beamforming for 6G Wireless Communications: Dataset and Training Perspective 26 | 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622615](https://ieeexplore.ieee.org/abstract/document/10622615) 28 | * Code: [https://github.com/islab-github/VOMTC](https://github.com/islab-github/VOMTC) 29 | 30 | [6] Cost-Aware Joint Caching and Forwarding in Networks with Heterogeneous Cache Resources 31 | 32 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10623104](https://ieeexplore.ieee.org/abstract/document/10623104) 33 | * Code: [https://github.com/fvmutlu/multi-tier](https://github.com/fvmutlu/multi-tier) 34 | 35 | [7] Enhancing VPN Traffic Recognition Through CatBoost Feature Extraction and Stacking Ensemble Learning 36 | 37 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622256](https://ieeexplore.ieee.org/abstract/document/10622256) 38 | * Code: [https://github.com/NJUST-HK/CatBoostStacking_VPN](https://github.com/NJUST-HK/CatBoostStacking_VPN) 39 | 40 | [8] Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks 41 | 42 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622906](https://ieeexplore.ieee.org/abstract/document/10622906) 43 | * Code: [https://github.com/gadm21/FedSKD](https://github.com/gadm21/FedSKD) 44 | 45 | [9] FedSCCS: Hierarchical Clustering with Multiple Models for Federated Learning 46 | 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622346](https://ieeexplore.ieee.org/abstract/document/10622346) 48 | * Code: [https://github.com/GabrielTalasso/FedSCCS](https://github.com/GabrielTalasso/FedSCCS) 49 | 50 | [10] GANFed: GAN-Based Federated Learning with Non-IID Datasets in Edge IoTs 51 | 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622211](https://ieeexplore.ieee.org/abstract/document/10622211) 53 | * Code: [https://github.com/fuanxiyin/GANFed.git](https://github.com/fuanxiyin/GANFed.git) 54 | 55 | [11] HybridCom: Improve Federated Learning Efficiency on Unstable Data 56 | 57 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622354](https://ieeexplore.ieee.org/abstract/document/10622354) 58 | * Code: [https://github.com/markli404/HybridCom.git](https://github.com/markli404/HybridCom.git) 59 | 60 | [12] Is Machine Learning the Best Option for Network Routing? 61 | 62 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622335](https://ieeexplore.ieee.org/abstract/document/10622335) 63 | * Code: [https://github.com/LeoTang0208/DRL-GNN](https://github.com/LeoTang0208/DRL-GNN) 64 | 65 | [13] NetGen: A Network Digital Twin Generator 66 | 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10623026](https://ieeexplore.ieee.org/abstract/document/10623026) 68 | * Code: [https://github.com/cablelabs/mass](https://github.com/cablelabs/mass) 69 | 70 | [14] On Packet Classification with Multidimensional Range Trees 71 | 72 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622775](https://ieeexplore.ieee.org/abstract/document/10622775) 73 | * Code: [https://github.com/asheshgaur/multiDimensionalRangeSearch](https://github.com/asheshgaur/multiDimensionalRangeSearch) 74 | 75 | [15] Reinforcement-Based Denoising for Crowdsourcing Named Entity Recognition in Social Networks 76 | 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10623084](https://ieeexplore.ieee.org/abstract/document/10623084) 78 | * Code: [https://github.com/tianzeshu/RL-RMDA](https://github.com/tianzeshu/RL-RMDA) 79 | 80 | [16] Robust Generation of Channel Distributions with Diffusion Models 81 | 82 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622251](https://ieeexplore.ieee.org/abstract/document/10622251) 83 | * Code: [https://github.com/muahkim/learning-E2E-channel-coding-with-diffusion-models](https://github.com/muahkim/learning-E2E-channel-coding-with-diffusion-models) 84 | 85 | [17] Roger: A Round Optimized GPU-Friendly Secure Inference Framework 86 | 87 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622609](https://ieeexplore.ieee.org/abstract/document/10622609) 88 | * Code: [https://github.com/ucbrise/piranha](https://github.com/ucbrise/piranha) 89 | 90 | [18] Sensing-aided CSI Feedback with Deep Learning for Massive MIMO Systems 91 | 92 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622919](https://ieeexplore.ieee.org/abstract/document/10622919) 93 | * Code: [https://github.com/zhang-xd18/safb](https://github.com/zhang-xd18/safb) 94 | 95 | [19] SSurrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting 96 | 97 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622477](https://ieeexplore.ieee.org/abstract/document/10622477) 98 | * Code: [https://github.com/MoeR3za/Korsahy_TGAN](https://github.com/MoeR3za/Korsahy_TGAN) 99 | 100 | [20] Task-Oriented Communication for Multi-Device Edge Inference: A Maximal Coding Rate Reduction Approach 101 | 102 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622706](https://ieeexplore.ieee.org/abstract/document/10622706) 103 | * Code: [https://github.com/chang-cai/TaskCommMCR2]( https://github.com/chang-cai/TaskCommMCR2) 104 | 105 | [21] The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks 106 | 107 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622678](https://ieeexplore.ieee.org/abstract/document/10622678) 108 | * Code: [https://github.com/Adampi210/MaxSpANFL_atck_code_data](https://github.com/Adampi210/MaxSpANFL_atck_code_data) 109 | 110 | [22] Throughput Maximization in Multi-Band Optical Networks with Column Generation 111 | 112 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622664](https://ieeexplore.ieee.org/abstract/document/10622664) 113 | * Code: [https://github.com/cchen000/CG-Multi-Band](https://github.com/cchen000/CG-Multi-Band) 114 | 115 | [23] World Model Aided Parameter Adjustment Decision and Evaluation System for Radio Access Network 116 | 117 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10622308](https://ieeexplore.ieee.org/abstract/document/10622308) 118 | * Code: [https://github.com/Stianmu/WMDE](https://github.com/Stianmu/WMDE) 119 | 120 | ### 2024 IEEE International Conference on Communications Workshops (ICC Workshops) 121 | 122 | [1] Building Delay-Tolerant Digital Twins for Cislunar Operations using Age of Synchronization 123 | 124 | * Paper: [https://ieeexplore.ieee.org/document/10615352](https://ieeexplore.ieee.org/document/10615352) 125 | * Code: [https://github.com/FaheemQuazi/DelayTwins-ICC2024WS](https://github.com/FaheemQuazi/DelayTwins-ICC2024WS) 126 | 127 | [2] Can Millimeter-Wave Support Interactive Extended Reality Under Rapid Rotational Motion? 128 | 129 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615891](https://ieeexplore.ieee.org/abstract/document/10615891) 130 | * Code: [https://github.com/arnoutdekimo/bwdelaytester](https://github.com/arnoutdekimo/bwdelaytester) 131 | 132 | [3] CDVD: Causal Dynamic Variational Deconfounder for Estimating Parameter Adjusting Effect 133 | 134 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615692](https://ieeexplore.ieee.org/abstract/document/10615692) 135 | * Code: [https://github.com/ygmlyy/-CDVD](https://github.com/ygmlyy/-CDVD) 136 | 137 | [4] In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models 138 | 139 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615360](https://ieeexplore.ieee.org/abstract/document/10615360) 140 | * Code: [https://github.com/kclip/ICL-Equalization](https://github.com/kclip/ICL-Equalization) 141 | 142 | [5] Multifaceted DDoS Attack Prediction by Multivariate Time Series and Ordinal Patterns 143 | 144 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615918](https://ieeexplore.ieee.org/abstract/document/10615918) 145 | * Code: [https://github.com/ligiafb/ICC24-W18](https://github.com/ligiafb/ICC24-W18) 146 | 147 | [6] ML Driven Root Cause Analysis (RCA) in Telco Microservices Continuum 148 | 149 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615702](https://ieeexplore.ieee.org/abstract/document/10615702) 150 | * Code: [https://github.com/ZHAW-BA-2023-FS-RCA-Mon/maleaf](https://github.com/ZHAW-BA-2023-FS-RCA-Mon/maleaf) 151 | 152 | [7] Transformer-Based Multi-Agent Reinforcement Learning for Multiple Unmanned Aerial Vehicle Coordination in Air Corridors 153 | 154 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10615924](https://ieeexplore.ieee.org/abstract/document/10615924) 155 | * Code: [https://github.com/fzvincent/air-corridor](https://github.com/fzvincent/air-corridor) 156 | -------------------------------------------------------------------------------- /Conference_paper/INFOCOM_Paper_with_code/INFOCOM2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Blockchain-Based Trading Platform for Big Data 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162759](https://ieeexplore.ieee.org/abstract/document/9162759) 3 | * Code: [https://github.com/panlx08/DataTBC](https://github.com/panlx08/DataTBC) 4 | 5 | [2] A Longitudinal View of Netflix: Content Delivery over IPv6 and Content Cache Deployments 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155367](https://ieeexplore.ieee.org/abstract/document/9155367) 7 | * Code: [https://github.com/tv-doan/infocom-2020-netflix](https://github.com/tv-doan/infocom-2020-netflix) 8 | 9 | [3] Adaptive Adversarial Attack on Scene Text Recognition 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162685](https://ieeexplore.ieee.org/abstract/document/9162685) 11 | * Code: [https://github.com/bgshih/crnn](https://github.com/bgshih/crnn) 12 | 13 | [4] AZTEC: Anticipatory Capacity Allocation for Zero-Touch Network Slicing 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155299](https://ieeexplore.ieee.org/abstract/document/9155299) 15 | * Code: [https://github.com/wnluc3m/AZTEC](https://github.com/wnluc3m/AZTEC) 16 | 17 | [5] Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155269](https://ieeexplore.ieee.org/abstract/document/9155269) 19 | * Code: [https://github.com/HKBU-HPML/OMGS-SGD](https://github.com/HKBU-HPML/OMGS-SGD) 20 | * Code: [https://github.com/uber/horovod](https://github.com/uber/horovod) 21 | * Code: [https://github.com/NVIDIA/nccl-tests](https://github.com/NVIDIA/nccl-tests) 22 | * Code: [https://github.com/facebookincubator/gloo](https://github.com/facebookincubator/gloo) 23 | 24 | [6] Detecting Anomalies in Encrypted Traffic via Deep Dictionary Learning 25 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162940](https://ieeexplore.ieee.org/abstract/document/9162940) 26 | * Code: [https://github.com/danielfrg/word2vec](https://github.com/danielfrg/word2vec) 27 | 28 | [7] Distributed Deep Learning-based Task Offloading for UAV-enabled Mobile Edge Computing 29 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162899](https://ieeexplore.ieee.org/abstract/document/9162899) 30 | * Code: [https://github.com/MithunHub/SourceCodeINFOCOMWS2020FogDNN](https://github.com/MithunHub/SourceCodeINFOCOMWS2020FogDNN) 31 | 32 | [8] Efficient Vulnerability Detection based on abstract syntax tree and Deep Learning 33 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9163061](https://ieeexplore.ieee.org/abstract/document/9163061) 34 | * Code: [https://github.com/](https://github.com/) 35 | 36 | [9] GENIX: A GENI-based IXP Emulation 37 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9163037](https://ieeexplore.ieee.org/abstract/document/9163037) 38 | * Code: [https://github.com/shahzebmustafa/GENIX](https://github.com/shahzebmustafa/GENIX) 39 | 40 | [10] Harmony: Saving Concurrent Transmissions from Harsh RF Interference 41 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155423](https://ieeexplore.ieee.org/abstract/document/9155423) 42 | * Code: [https://github.com/d3s-trento/crystal](https://github.com/d3s-trento/crystal) 43 | 44 | [11] Implementing SFA Support on an Established HPC-flavored Testbed: Lessons Learned 45 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9163059](https://ieeexplore.ieee.org/abstract/document/9163059) 46 | * Code: [https://github.com/GENI-NSF/geni-tools](https://github.com/GENI-NSF/geni-tools) 47 | 48 | [12] Improving BGP Convergence with Fed4FIRE+ Experiments 49 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162970](https://ieeexplore.ieee.org/abstract/document/9162970) 50 | * Code: [https://github.com/iof](https://github.com/iof) 51 | 52 | [13] InBlock4: Blockchain-based Route Origin Validation 53 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162879](https://ieeexplore.ieee.org/abstract/document/9162879) 54 | * Code: [https://github.com/steang91/InBlock_Code/tree/IPv4](https://github.com/steang91/InBlock_Code/tree/IPv4) 55 | 56 | [14] Logical Peering for Interdomain Networking on Testbeds 57 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162936](https://ieeexplore.ieee.org/abstract/document/9162936) 58 | * Code: [https://github.com/RENCI-NRIG/CICI-SAFE](https://github.com/RENCI-NRIG/CICI-SAFE) 59 | 60 | [15] Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network 61 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162661](https://ieeexplore.ieee.org/abstract/document/9162661) 62 | * Code: [https://github.com/TheCodingLama](https://github.com/TheCodingLama) 63 | 64 | [16] Network Flow based IoT Botnet Attack Detection using Deep Learning 65 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162668](https://ieeexplore.ieee.org/abstract/document/9162668) 66 | * Code: [https://github.com/vinayakumarr/IoT-Botnet](https://github.com/vinayakumarr/IoT-Botnet) 67 | 68 | [17] Optimizing Federated Learning on Non-IID Data with Reinforcement Learning 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155494](https://ieeexplore.ieee.org/abstract/document/9155494) 70 | * Code: [https://github.com/iqua/flsim](https://github.com/iqua/flsim) 71 | 72 | [18] OST: On-Demand TSCH Scheduling with Traffic-Awareness 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155496](https://ieeexplore.ieee.org/abstract/document/9155496) 74 | * Code: [https://github.com/seungbumz/OST](https://github.com/seungbumz/OST) 75 | 76 | [19] P4NIS: Improving network immunity against eavesdropping with programmable data planes 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162975](https://ieeexplore.ieee.org/abstract/document/9162975) 78 | * Code: [https://github.com/KB00100100/P4NIS](https://github.com/KB00100100/P4NIS) 79 | 80 | [20] Poster Abstract: An Open Source Approach to Field Testing of WLAN up to IEEE 802.11ad at 60 GHz Using Commodity Hardware 81 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162717](https://ieeexplore.ieee.org/abstract/document/9162717) 82 | * Code: [https://github.com/Mellanox/sockperf](https://github.com/Mellanox/sockperf) 83 | 84 | [21] PROMAR: Practical Reference Object-based Multi-user Augmented Reality 85 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155506](https://ieeexplore.ieee.org/abstract/document/9155506) 86 | * Code: [https://github.com/PROMAR2019](https://github.com/PROMAR2019) 87 | 88 | [22] RePiDeM: A Refined POI Demand Modeling based on Multi-Source Data 89 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155294](https://ieeexplore.ieee.org/abstract/document/9155294) 90 | * Code: [https://github.com/PaddlePaddle/LARK/tree/develop/ERNIE](https://github.com/PaddlePaddle/LARK/tree/develop/ERNIE) 91 | * Code: [https://github.com/keras-team/keras](https://github.com/keras-team/keras) 92 | * Code: [https://github.com/tensorflow/tensorflow](https://github.com/tensorflow/tensorflow) 93 | 94 | [23] SplitCast: Optimizing Multicast Flows in Reconfigurable Datacenter Networks 95 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155246](https://ieeexplore.ieee.org/abstract/document/9155246) 96 | * Code: [https://github.com/ilongluo/SplitCast.git](https://github.com/ilongluo/SplitCast.git) 97 | 98 | [24] SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning 99 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155284](https://ieeexplore.ieee.org/abstract/document/9155284) 100 | * Code: [https://github.com/SurveilEdge/SurveilEdge](https://github.com/SurveilEdge/SurveilEdge) 101 | 102 | [25] The German-Speaking Twitter Community Reference Data Set 103 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9162728](https://ieeexplore.ieee.org/abstract/document/9162728) 104 | * Code: [https://github.com/hermitdave/FrequencyWords/](https://github.com/hermitdave/FrequencyWords/) 105 | 106 | [26] Voiceprint Mimicry Attack Towards Speaker Verification System in Smart Home 107 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9155483](https://ieeexplore.ieee.org/abstract/document/9155483) 108 | * Code: [https://github.com/a-nagrani/VGGVox](https://github.com/a-nagrani/VGGVox) 109 | 110 | [27] Whispering to Industrial IoT for converging multi-domain Network Programmability 111 | * Paper: [https://github.com/KB00100100/P4NIS](https://github.com/KB00100100/P4NIS) 112 | * Code: [https://github.com/imec-idlab/whisper-repository](https://github.com/imec-idlab/whisper-repository) 113 | 114 | [28] WiFi over VLC using COTS Devices 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9163042](https://ieeexplore.ieee.org/abstract/document/9163042) 116 | * Code: [https://github.com/jhol/pyadf435x](https://github.com/jhol/pyadf435x) 117 | 118 | [29] Word-Character Hybrid Machine Translation Model 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9197865](https://ieeexplore.ieee.org/abstract/document/9197865) 120 | * Code: [https://github.com/grantjenks/python-wordsegment](https://github.com/grantjenks/python-wordsegment) -------------------------------------------------------------------------------- /Conference_paper/INFOCOM_Paper_with_code/INFOCOM2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] An Experimentation Platform for Automated Assessment of Multimedia Services over Mobile Networks 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484528](https://ieeexplore.ieee.org/abstract/document/9484528) 3 | * Code: [https://github.com/5genesis](https://github.com/5genesis) 4 | * Code: [https://github.com/Dash-Industry-Forum/dash.js](https://github.com/Dash-Industry-Forum/dash.js) 5 | 6 | [2] An ns3-based Energy Module of 5G NR User Equipments for Millimeter Wave Networks 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484493](https://ieeexplore.ieee.org/abstract/document/9484493) 8 | * Code: [https://github.com/arghasen10/ns3-mmwave-1](https://github.com/arghasen10/ns3-mmwave-1) 9 | 10 | [3] An Open Experimental Platform for Ranging, Proximity and Contact Event Tracking using Ultra-Wide-Band and Bluetooth Low-Energy 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484579](https://ieeexplore.ieee.org/abstract/document/9484579) 12 | * Code: [https://github.com/Decawave/uwb-core](https://github.com/Decawave/uwb-core) 13 | * Code: [https://github.com/apache/mynewt-nimble](https://github.com/apache/mynewt-nimble) 14 | 15 | [4] Analyzing Learning-Based Networked Systems with Formal Verification 16 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488898](https://ieeexplore.ieee.org/abstract/document/9488898) 17 | * Code: [https://github.com/sands-lab/dnn-verification-infocom2021](https://github.com/sands-lab/dnn-verification-infocom2021) 18 | 19 | [5] AutoCEW: An Autonomous Cyberspace Early Warning Framework via Ensemble Learning 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484456](https://ieeexplore.ieee.org/abstract/document/9484456) 21 | * Code: [https://github.com/ahlashkari/CICFlowMeter](https://github.com/ahlashkari/CICFlowMeter) 22 | 23 | [6] Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs 24 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488845](https://ieeexplore.ieee.org/abstract/document/9488845) 25 | * Code: [https://github.com/jaayala/power](https://github.com/jaayala/power) 26 | * Code: [https://github.com/jaayala/contextual](https://github.com/jaayala/contextual) 27 | * Code: [https://github.com/jaayala/constrained](https://github.com/jaayala/constrained) 28 | 29 | [7] Characterizing Ethereum’s Mining Power Decentralization at a Deeper Level 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488812](https://ieeexplore.ieee.org/abstract/document/9488812) 31 | * Code: [https://github.com/yangsrc/pool-dataset](https://github.com/yangsrc/pool-dataset) 32 | 33 | [8] CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488755](https://ieeexplore.ieee.org/abstract/document/9488755) 35 | * Code: [https://github.com/NetManAIOps/label-tool](https://github.com/NetManAIOps/label-tool) 36 | * Code: [https://github.com/NetManAIOps/CTF_data](https://github.com/NetManAIOps/CTF_data) 37 | 38 | [9] DRL-OR: Deep Reinforcement Learning-based Online Routing for Multi-type Service Requirements 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488736](https://ieeexplore.ieee.org/abstract/document/9488736) 40 | * Code: [https://github.com/netlab-lcy/DRL-OR](https://github.com/netlab-lcy/DRL-OR) 41 | 42 | [10] Dual Attention-Based Federated Learning for Wireless Traffic Prediction 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488883](https://ieeexplore.ieee.org/abstract/document/9488883) 44 | * Code: [https://github.com/chuanting/FedDA](https://github.com/chuanting/FedDA) 45 | 46 | [11] DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488913](https://ieeexplore.ieee.org/abstract/document/9488913) 48 | * Code: [https://github.com/FarzamHejaziK/DyLoc](https://github.com/FarzamHejaziK/DyLoc) 49 | 50 | [12] EdgeNet: the Global Kubernetes Cluster Testbed 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484475](https://ieeexplore.ieee.org/abstract/document/9484475) 52 | * Code: [https://github.com/EdgeNet-project](https://github.com/EdgeNet-project) 53 | 54 | [13] Engineering A Large-Scale Traffic Signal Control: A Multi-Agent Reinforcement Learning Approach 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484451](https://ieeexplore.ieee.org/abstract/document/9484451) 56 | * Code: [https://github.com/albertcruzeyork/RL-for-traffic-signal-control](https://github.com/albertcruzeyork/RL-for-traffic-signal-control) 57 | 58 | **[14] Evaluating V2V Security on an SDR Testbed** 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484435](https://ieeexplore.ieee.org/abstract/document/9484435) 60 | * Code: [https://github.com/twardokus/v2verifier](https://github.com/twardokus/v2verifier) 61 | 62 | [15] Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488803](https://ieeexplore.ieee.org/abstract/document/9488803) 64 | * Code: [https://github.com/bytedance/byteps](https://github.com/bytedance/byteps) 65 | * Code: [https://github.com/HKBU-HPML/MG-WFBP](https://github.com/HKBU-HPML/MG-WFBP) 66 | * Code: [https://github.com/NVIDIA/nccl-tests](https://github.com/NVIDIA/nccl-tests) 67 | 68 | [16] FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488807](https://ieeexplore.ieee.org/abstract/document/9488807) 70 | * Code: [https://github.com/H-W-Huang/FedServing](https://github.com/H-W-Huang/FedServing) 71 | 72 | [17] High Precision Time Synchronization on Wi-Fi based Multi-Hop Network 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484531](https://ieeexplore.ieee.org/abstract/document/9484531) 74 | * Code: [https://github.com/torvalds/linux/blob/v5.4/include/net/cfg80211.h](https://github.com/torvalds/linux/blob/v5.4/include/net/cfg80211.h) 75 | 76 | [18] iChat: Interactive Eyes for Specially Challenged People Using OpenCV Python 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9596502](https://ieeexplore.ieee.org/abstract/document/9596502) 78 | * Code: [https://github.com/Kashishkathpal/iChat-Interactive-Eyes-Paper-Id-89.git](https://github.com/Kashishkathpal/iChat-Interactive-Eyes-Paper-Id-89.git) 79 | 80 | [19] Kwollect: Metrics Collection for Experiments at Scale 81 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484540](https://ieeexplore.ieee.org/abstract/document/9484540) 82 | * Code: [https://github.com/voila-dashboards/voila](https://github.com/voila-dashboards/voila) 83 | 84 | [20] Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing 85 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488817](https://ieeexplore.ieee.org/abstract/document/9488817) 86 | * Code: [https://github.com/zalandoresearch/fashion-mnist](https://github.com/zalandoresearch/fashion-mnist) 87 | 88 | [21] Monitoring Android Communications for Security 89 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484574](https://ieeexplore.ieee.org/abstract/document/9484574) 90 | * Code: [https://github.com/M66B/NetGuard](https://github.com/M66B/NetGuard) 91 | 92 | [22] On Network Topology Augmentation for Global Connectivity under Regional Failures 93 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488879](https://ieeexplore.ieee.org/abstract/document/9488879) 94 | * Code: [https://github.com/hajduzs/netext](https://github.com/hajduzs/netext) 95 | 96 | [23] Optimal Rack-Coordinated Updates in Erasure-Coded Data Centers 97 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488813](https://ieeexplore.ieee.org/abstract/document/9488813) 98 | * Code: [https://github.com/ggw5/RackCU-code](https://github.com/ggw5/RackCU-code) 99 | 100 | [24] Optimized BGP Simulator for Evaluation of Internet Hijacks 101 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484563](https://ieeexplore.ieee.org/abstract/document/9484563) 102 | * Code: [https://github.com/Fraunhofer-SIT/bgpsim](https://github.com/Fraunhofer-SIT/bgpsim) 103 | 104 | [25] Privacy-Preserving Learning of Human Activity Predictors in Smart Environments 105 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488681](https://ieeexplore.ieee.org/abstract/document/9488681) 106 | * Code: [https://github.com/sharare90/Privacy-Preserving-Learning](https://github.com/sharare90/Privacy-Preserving-Learning) 107 | 108 | [26] Programmable Switches for in-Networking Classification 109 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488840](https://ieeexplore.ieee.org/abstract/document/9488840) 110 | * Code: [https://github.com/nerds-ufes/in-network_ml](https://github.com/nerds-ufes/in-network_ml) 111 | 112 | [27] Pyramid: Real-Time LoRa Collision Decoding with Peak Tracking 113 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488695](https://ieeexplore.ieee.org/abstract/document/9488695) 114 | * Code: [https://github.com/jkadbear/gr-lora](https://github.com/jkadbear/gr-lora) 115 | 116 | **[28] Quality Assessment of VANETs-Supported Video Dissemination of Critical Urban Events** 117 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484551](https://ieeexplore.ieee.org/abstract/document/9484551) 118 | * Code: [https://github.com/lcodeca/LuSTScenario](https://github.com/lcodeca/LuSTScenario) 119 | 120 | [29] SSLChecker 121 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9484535](https://ieeexplore.ieee.org/abstract/document/9484535) 122 | * Code: [https://github.com/bluebird135/cyseclab](https://github.com/bluebird135/cyseclab) 123 | 124 | [30] Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System 125 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488701](https://ieeexplore.ieee.org/abstract/document/9488701) 126 | * Code: [https://github.com/Xiaof](https://github.com/Xiaof) 127 | 128 | [31] To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices 129 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488839](https://ieeexplore.ieee.org/abstract/document/9488839) 130 | * Code: [https://github.com/anm0/0/blob/master/proof.pdf](https://github.com/anm0/0/blob/master/proof.pdf) 131 | 132 | [32] Trust Trackers for Computation Offloading in Edge-Based IoT Networks 133 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488844](https://ieeexplore.ieee.org/abstract/document/9488844) 134 | * Code: [https://github.com/MBradbury/iot-trust-task-alloc](https://github.com/MBradbury/iot-trust-task-alloc) 135 | 136 | [33] WiProg: A WebAssembly-based Approach to Integrated IoT Programming 137 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9488424](https://ieeexplore.ieee.org/abstract/document/9488424) 138 | * Code: [https://github.com/liborui/WiProg](https://github.com/liborui/WiProg) -------------------------------------------------------------------------------- /Conference_paper/INFOCOM_Paper_with_code/INFOCOM2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] 6Forest: An Ensemble Learning-based Approach to Target Generation for Internet-wide IPv6 Scanning 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796925](https://ieeexplore.ieee.org/abstract/document/9796925) 4 | * Code: [https://github.com/Lab-ANT/6Forest](https://github.com/Lab-ANT/6Forest) 5 | 6 | [2] ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796967](https://ieeexplore.ieee.org/abstract/document/9796967) 8 | * Code: [https://github.com/jiaxintang/abs/tree/master](https://github.com/jiaxintang/abs/tree/master) 9 | 10 | [3] Blockchain Based Non-repudiable IoT Data Trading: Simpler, Faster, and Cheaper 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796857](https://ieeexplore.ieee.org/abstract/document/9796857) 12 | * Code: [https://github.com/szu-security-group/Trust-IoT-Data-Trading/](https://github.com/szu-security-group/Trust-IoT-Data-Trading/) 13 | 14 | [4] Copa+: Analysis and Improvement of the Delay-based Congestion Control Algorithm Copa 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796913](https://ieeexplore.ieee.org/abstract/document/9796913) 16 | * Code: [https://github.com/Wanchun-Jiang/genericCC](https://github.com/Wanchun-Jiang/genericCC) 17 | 18 | [5] DBAC: Directory-Based Access Control for Geographically Distributed IoT Systems 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796804](https://ieeexplore.ieee.org/abstract/document/9796804) 20 | * Code: [https://github.com/Halleloya/DBAC](https://github.com/Halleloya/DBAC) 21 | 22 | [6] FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796719](https://ieeexplore.ieee.org/abstract/document/9796719) 24 | * Code: [https://github.com/inslab-ji/FFPA](https://github.com/inslab-ji/FFPA) 25 | 26 | [7] FUME: Fuzzing Message Queuing Telemetry Transport Brokers 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796755](https://ieeexplore.ieee.org/abstract/document/9796755) 28 | * Code: [https://github.com/PBearson/FUME-Fuzzing-MQTT-Brokers](https://github.com/PBearson/FUME-Fuzzing-MQTT-Brokers) 29 | 30 | [8] Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796888](https://ieeexplore.ieee.org/abstract/document/9796888) 32 | * Code: [https://github.com/afzanella/infocom22_covid](https://github.com/afzanella/infocom22_covid) 33 | 34 | [9] LoRadar: An Efficient LoRa Channel Occupancy Acquirer based on Cross-channel Scanning 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796845](https://ieeexplore.ieee.org/abstract/document/9796845) 36 | * Code: [https://github.com/yufu186/LoRadar-INFOCOM-2022](https://github.com/yufu186/LoRadar-INFOCOM-2022) 37 | 38 | [10] LossLeaP: Learning to Predict for Intent-Based Networking 39 | * Paper: [https://ieeexplore.ieee.org/document/9796918](https://ieeexplore.ieee.org/document/9796918) 40 | * Code: [https://github.com/alcoimdea/LossLeaP](https://github.com/alcoimdea/LossLeaP) 41 | 42 | [11] Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796936](https://ieeexplore.ieee.org/abstract/document/9796936) 44 | * Code: [https://github.com/xgr19/Mousika](https://github.com/xgr19/Mousika) 45 | 46 | [12] Online Model Updating with Analog Aggregation in Wireless Edge Learning 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796860](https://ieeexplore.ieee.org/abstract/document/9796860) 48 | * Code: [https://github.com/juncheng-wang/INFOCOM2022-OMUAA](https://github.com/juncheng-wang/INFOCOM2022-OMUAA) 49 | 50 | [13] Payment Channel Networks: Single-Hop Scheduling for Throughput Maximization 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796862](https://ieeexplore.ieee.org/abstract/document/9796862) 52 | * Code: [https://github.com/npapadis/payment-channel-scheduling](https://github.com/npapadis/payment-channel-scheduling) 53 | 54 | [14] PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796778](https://ieeexplore.ieee.org/abstract/document/9796778) 56 | * Code: [https://github.com/imperial-qore/PreGAN](https://github.com/imperial-qore/PreGAN) 57 | 58 | [15] Real-Time Execution of Trigger-Action Connection for Home Internet-of-Things 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796872](https://ieeexplore.ieee.org/abstract/document/9796872) 60 | * Code: [https://github.com/nis-seu/RTX-IFTTT-demo](https://github.com/nis-seu/RTX-IFTTT-demo) 61 | 62 | [16] RF-Wise: Pushing the Limit of RFID-based Sensing 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796909](https://ieeexplore.ieee.org/abstract/document/9796909) 64 | * Code: [https://cui-zhao.github.io/RF-WISE/](https://cui-zhao.github.io/RF-WISE/) 65 | 66 | [17] RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796944](https://ieeexplore.ieee.org/abstract/document/9796944) 68 | * Code: [https://github.com/BNN-UPC/Papers/wiki/RouteNet_Erlang](https://github.com/BNN-UPC/Papers/wiki/RouteNet_Erlang) 69 | 70 | [18] Semi-Online Precoding with Information Parsing for Cooperative MIMO Wireless Networks 71 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796813](https://ieeexplore.ieee.org/abstract/document/9796813) 72 | * Code: [https://github.com/juncheng-wang/INFOCOM2022-SOPIP](https://github.com/juncheng-wang/INFOCOM2022-SOPIP) 73 | 74 | [19] Sending Timely Status Updates through Channel with Random Delay via Online Learning 75 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796970](https://ieeexplore.ieee.org/abstract/document/9796970) 76 | * Code: [https://github.com/loveisbasa/Infocom2022](https://github.com/loveisbasa/Infocom2022) 77 | 78 | [20] Short-Term Memory Sampling for Spread Measurement in High-Speed Networks 79 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796702](https://ieeexplore.ieee.org/abstract/document/9796702) 80 | * Code: [https://github.com/duyang92/STMS](https://github.com/duyang92/STMS) 81 | 82 | [21] Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites 83 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796836](https://ieeexplore.ieee.org/abstract/document/9796836) 84 | * Code: [https://github.com/dlagul/SGmVRNN](https://github.com/dlagul/SGmVRNN) 85 | 86 | [22] Torp: Full-Coverage and Low-Overhead Profiling of Host-Side Latency 87 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796758](https://ieeexplore.ieee.org/abstract/document/9796758) 88 | * Code: [https://github.com/Wasdns/Torp-INFOCOM22](https://github.com/Wasdns/Torp-INFOCOM22) 89 | 90 | [23] VITA: Virtual Network Topology-aware Southbound Message Delivery in Clouds 91 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9796938](https://ieeexplore.ieee.org/abstract/document/9796938) 92 | * Code: [https://github.com/futurewei-cloud/vita](https://github.com/futurewei-cloud/vita) 93 | 94 | ## Workshop论文 95 | [24] A blockchain-based Privacy-Preserving Framework for Cross-Social Network Photo Sharing 96 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798330](https://ieeexplore.ieee.org/abstract/document/9798330) 97 | * Code: [https://github.com/Mirecle/Go-Shairng](https://github.com/Mirecle/Go-Shairng) 98 | 99 | [25] Adaptive, Continuous Entanglement Generation for Quantum Networks 100 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798130](https://ieeexplore.ieee.org/abstract/document/9798130) 101 | * Code: [https://github.com/allenyxzang/CS333_project](https://github.com/allenyxzang/CS333_project) 102 | 103 | [26] AI-driven Service-aware Real-time Slicing for beyond 5G Networks 104 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798391](https://ieeexplore.ieee.org/abstract/document/9798391) 105 | * Code: [https://github.com/teo-tsou/app_aware_5g](https://github.com/teo-tsou/app_aware_5g) 106 | 107 | [27] An ns3-based Energy Module for 5G mmWave Base Stations 108 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798173](https://ieeexplore.ieee.org/abstract/document/9798173) 109 | * Code: [https://github.com/arghasen10/mmwave-energy](https://github.com/arghasen10/mmwave-energy) 110 | 111 | [28] Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions 112 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798353](https://ieeexplore.ieee.org/abstract/document/9798353) 113 | * Code: [https://github.com/MithunHub/TINGLE](https://github.com/MithunHub/TINGLE) 114 | 115 | [29] Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++ 116 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798038](https://ieeexplore.ieee.org/abstract/document/9798038) 117 | * Code: [https://github.com/m-bosk/htb-demo](https://github.com/m-bosk/htb-demo) 118 | 119 | [30] Enabling Large-Scale Human Genome Sequence Analysis on CloudLab 120 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798223](https://ieeexplore.ieee.org/abstract/document/9798223) 121 | * Code: [https://github.com/MU-Data-Science/EVA](https://github.com/MU-Data-Science/EVA) 122 | 123 | [31] Shellcoding: Hunting for Kernel32 Base Address 124 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798057](https://ieeexplore.ieee.org/abstract/document/9798057) 125 | * Code: [https://github.com/nixpal/kernel32-finder](https://github.com/nixpal/kernel32-finder) 126 | 127 | [32] Visualizing Multi-Agent Reinforcement Learning for Robotic Communication in Industrial IoT Networks 128 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9798273](https://ieeexplore.ieee.org/abstract/document/9798273) 129 | * Code: [https://github.com/lry-bupt/Visual_MARL](https://github.com/lry-bupt/Visual_MARL) -------------------------------------------------------------------------------- /Conference_paper/INFOCOM_Paper_with_code/INFOCOM2023_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] 400G Ethernet Packet Capture Demo Based on Network Development Kit for FPGAs 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10225750](https://ieeexplore.ieee.org/abstract/document/10225750) 4 | * Code: [https://github.com/CESNET/ndk-app-minimal](https://github.com/CESNET/ndk-app-minimal) 5 | 6 | [2] A Better Cardinality Estimator with Fewer Bits, Constant Update Time, and Mergeability 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229088](https://ieeexplore.ieee.org/abstract/document/10229088) 8 | * Code: [https://github.com/duyang92/SpikeSketch](https://github.com/duyang92/SpikeSketch) 9 | 10 | [3] A Close Look at 5G in the Wild: Unrealized Potentials and Implications 11 | * Paper: [https://ieeexplore.ieee.org/document/10229016](https://ieeexplore.ieee.org/document/10229016) 12 | * Code: [https://github.com/mssn/INFOCOM23-5GMeas](https://github.com/mssn/INFOCOM23-5GMeas) 13 | 14 | [4] A Fast and Exact Evaluation Algorithm for the Expected Number of Connected Nodes: an Enhanced Network Reliability Measure 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228897](https://ieeexplore.ieee.org/abstract/document/10228897) 16 | * Code: [https://github.com/nttcslab/fast-ecp-ecn](https://github.com/nttcslab/fast-ecp-ecn) 17 | 18 | [5] A Framework for Wireless Technology Classification using Crowdsensing Platforms 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228867](https://ieeexplore.ieee.org/abstract/document/10228867) 20 | * Code: [https://doi.org/10.5281/zenodo.7504334](https://doi.org/10.5281/zenodo.7504334) 21 | 22 | [6] Asynchronous Federated Unlearning 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229075](https://ieeexplore.ieee.org/abstract/document/10229075) 24 | * Code: [https://github.com/TL-System/plato/tree/main/examples/knot](https://github.com/TL-System/plato/tree/main/examples/knot) 25 | 26 | [7] AutoManager: a Meta-Learning Model for Network Management from Intertwined Forecasts 27 | * Paper: [https://ieeexplore.ieee.org/document/10229064](https://ieeexplore.ieee.org/document/10229064) 28 | * Code: [https://github.com/nds-group/AutoManager](https://github.com/nds-group/AutoManager) 29 | 30 | [8] Burst can be Harmless: Achieving Line-rate Software Traffic Shaping by Inter-flow Batching 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229082](https://ieeexplore.ieee.org/abstract/document/10229082) 32 | * Code: [https://github.com/ants-xjtu/FlowBundler](https://github.com/ants-xjtu/FlowBundler) 33 | 34 | [9] CaaS: Enabling Control-as-a-Service for Time-Sensitive Networking 35 | * Paper: [https://ieeexplore.ieee.org/document/10228980](https://ieeexplore.ieee.org/document/10228980) 36 | * Code: [https://doi.org/10.5281/zenodo.7489411](https://doi.org/10.5281/zenodo.7489411) 37 | 38 | [10] Communication-Aware DNN Pruning 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229043](https://ieeexplore.ieee.org/abstract/document/10229043) 40 | * Code: [https://github.com/neu-spiral/CaP](https://github.com/neu-spiral/CaP) 41 | 42 | [11] Data Transport for the Orbiting Internet 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10226070](https://ieeexplore.ieee.org/abstract/document/10226070) 44 | * Code: [https://github.com/Avian688/orbtcp](https://github.com/Avian688/orbtcp) 45 | 46 | [12] Deep Learning enabled Keystroke Eavesdropping Attack over Videoconferencing Platforms 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10225861](https://ieeexplore.ieee.org/abstract/document/10225861) 48 | * Code: [https://github.com/kumisaki/Free-Keystroke-Eavesdropping-Attack-over-Teams-Platform/](https://github.com/kumisaki/Free-Keystroke-Eavesdropping-Attack-over-Teams-Platform/) 49 | 50 | [13] DeeP4R: Deep Packet Inspection in P4 using Packet Recirculation 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228996](https://ieeexplore.ieee.org/abstract/document/10228996) 52 | * Code: [https://zenodo.org/badge/latestdoi/574774753](https://zenodo.org/badge/latestdoi/574774753) 53 | 54 | [14] DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229049](https://ieeexplore.ieee.org/abstract/document/10229049) 56 | * Code: [https://github.com/imperial-qore/DeepFT](https://github.com/imperial-qore/DeepFT) 57 | 58 | [15] Designing Optimal Compact Oblivious Routing for Datacenter Networks in Polynomial Time 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228948](https://ieeexplore.ieee.org/abstract/document/10228948) 60 | * Code: [https://github.com/NDS-VISTEC/DCN-Oblivious-Routing](https://github.com/NDS-VISTEC/DCN-Oblivious-Routing) 61 | 62 | [16] DisProTrack: Distributed Provenance Tracking over Serverless Applications 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228884](https://ieeexplore.ieee.org/abstract/document/10228884) 64 | * Code: [https://github.com/usatpath01/DisProTrack](https://github.com/usatpath01/DisProTrack) 65 | 66 | [17] DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229098](https://ieeexplore.ieee.org/abstract/document/10229098) 68 | * Code: [https://github.com/DuneHPCC724/Dune](https://github.com/DuneHPCC724/Dune) 69 | 70 | [18] Excalibur: A Scalable and Low-Cost Traffic Testing Framework for Evaluating DDoS Defense Solutions 71 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229080](https://ieeexplore.ieee.org/abstract/document/10229080) 72 | * Code: [https://github.com/Wasdns/excalibur](https://github.com/Wasdns/excalibur) 73 | 74 | [19] Fast Generation-Based Gradient Leakage Attacks against Highly Compressed Gradients 75 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229091](https://ieeexplore.ieee.org/abstract/document/10229091) 76 | * Code: [https://github.com/pigeon-dove/FGLA](https://github.com/pigeon-dove/FGLA) 77 | 78 | [20] FeatureSpy: Detecting Learning-Content Attacks via Feature Inspection in Secure Deduplicated Storage 79 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228971](https://ieeexplore.ieee.org/abstract/document/10228971) 80 | * Code: [https://github.com/tinoryj/FeatureSpy](https://github.com/tinoryj/FeatureSpy) 81 | 82 | [21] Federated Learning under Heterogeneous and Correlated Client Availability 83 | * Paper: [https://ieeexplore.ieee.org/document/10228876](https://ieeexplore.ieee.org/document/10228876) 84 | * Code: [https://github.com/arodio/CA-Fed](https://github.com/arodio/CA-Fed) 85 | 86 | [22] flexRLM: Flexible Radio Link Monitoring for Multi-User Downlink Millimeter-Wave Networks 87 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229071](https://ieeexplore.ieee.org/abstract/document/10229071) 88 | * Code: [https://github.com/inets-rwth/ns3-flexRLM](https://github.com/inets-rwth/ns3-flexRLM) 89 | 90 | [23] FlowBench: A Flexible Flow Table Benchmark for Comprehensive Algorithm Evaluation 91 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229097](https://ieeexplore.ieee.org/abstract/document/10229097) 92 | * Code: [https://github.com/Flow-Bench/Flow-Bench](https://github.com/Flow-Bench/Flow-Bench) 93 | 94 | [24] HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN 95 | * Paper: [https://ieeexplore.ieee.org/document/10229047](https://ieeexplore.ieee.org/document/10229047) 96 | * Code: [https://github.com/tedzhouhk/HTNet](https://github.com/tedzhouhk/HTNet) 97 | 98 | [25] LIGBEE: Symbol-Level Cross-Technology Communication from LoRa to ZigBee 99 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229005](https://ieeexplore.ieee.org/abstract/document/10229005) 100 | * Code: [https://github.com/wwwzrb/ligbee-artifact](https://github.com/wwwzrb/ligbee-artifact) 101 | 102 | [26] LightNestle: Quick and Accurate Neural Sequential Tensor Completion via Meta Learning 103 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228967](https://ieeexplore.ieee.org/abstract/document/10228967) 104 | * Code: [https://github.com/MerrillLi/LightNestle](https://github.com/MerrillLi/LightNestle) 105 | 106 | [27] Melody: Toward Resource-Efficient Packet Header Vector Encoding on Programmable Switches 107 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229056](https://ieeexplore.ieee.org/abstract/document/10229056) 108 | * Code: [https://github.com/Wasdns/melody](https://github.com/Wasdns/melody) 109 | 110 | [28] MERCURY: Fast Transaction Broadcast in High Performance Blockchain Systems 111 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228972](https://ieeexplore.ieee.org/abstract/document/10228972) 112 | * Code: [https://github.com/wuwuz/P2PNetwork](https://github.com/wuwuz/P2PNetwork) 113 | 114 | [29] Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229092](https://ieeexplore.ieee.org/abstract/document/10229092) 116 | * Code: [https://github.com/chichidd/BackdoorDynamicDNN](https://github.com/chichidd/BackdoorDynamicDNN) 117 | 118 | [30] More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228919](https://ieeexplore.ieee.org/abstract/document/10228919) 120 | * Code: [https://github.com/TL-System/plato/tree/main/examples/dlg](https://github.com/TL-System/plato/tree/main/examples/dlg) 121 | 122 | [31] On Data Processing through the Lenses of S3 Object Lambda 123 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228890](https://ieeexplore.ieee.org/abstract/document/10228890) 124 | * Code: [https://github.com/pablogs98/Object-Lambda-Benchmark](https://github.com/pablogs98/Object-Lambda-Benchmark) 125 | 126 | [32] On Design and Performance of Offline Finding Network 127 | * Paper: [https://ieeexplore.ieee.org/document/10228880](https://ieeexplore.ieee.org/document/10228880) 128 | * Code: [https://github.com/litonglab/blender-neighbor-discovery](https://github.com/litonglab/blender-neighbor-discovery) 129 | 130 | [33] Online Distributed Optimization with Efficient Communication via Temporal Similarity 131 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229086](https://ieeexplore.ieee.org/abstract/document/10229086) 132 | * Code: [https://github.com/juncheng-wang/INFOCOM2023-ODOTS](https://github.com/juncheng-wang/INFOCOM2023-ODOTS) 133 | 134 | [34] OpticNet: Self-Adjusting Networks for ToR-Matching-ToR Optical Switching Architectures 135 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228883](https://ieeexplore.ieee.org/abstract/document/10228883) 136 | * Code: [https://github.com/caiocaldeira3/CBOpticalNet](https://github.com/caiocaldeira3/CBOpticalNet) 137 | 138 | [35] PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining 139 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228874](https://ieeexplore.ieee.org/abstract/document/10228874) 140 | * Code: [https://github.com/Fragile-azalea/PipeMoE](https://github.com/Fragile-azalea/PipeMoE) 141 | 142 | [36] Plug and Power: Fingerprinting USB Powered Peripherals via Power Side-channel 143 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229048](https://ieeexplore.ieee.org/abstract/document/10229048) 144 | * Code: [https://doi.org/10.5281/zenodo.7467989](https://doi.org/10.5281/zenodo.7467989) 145 | 146 | [37] QueuePilot: Reviving Small Buffers With a Learned AQM Policy 147 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228975](https://ieeexplore.ieee.org/abstract/document/10228975) 148 | * Code: [https://github.com/2dm/QueuePilot](https://github.com/2dm/QueuePilot) 149 | 150 | [38] Resilient Routing Table Computation Based on Connectivity Preserving Graph Sequences 151 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229023](https://ieeexplore.ieee.org/abstract/document/10229023) 152 | * Code: [https://github.com/jtapolcai/graph-sequences](https://github.com/jtapolcai/graph-sequences) 153 | 154 | [39] RT-BLE: Real-time Multi-Connection Scheduling for Bluetooth Low Energy 155 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229006](https://ieeexplore.ieee.org/abstract/document/10229006) 156 | * Code: [https://github.com/sada45/RT-BLE](https://github.com/sada45/RT-BLE) 157 | 158 | [40] SaTCP: Link-Layer Informed TCP Adaptation for Highly Dynamic LEO Satellite Networks 159 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228914](https://ieeexplore.ieee.org/abstract/document/10228914) 160 | * Code: [https://github.com/XuyangCaoUCSD/LeoEM](https://github.com/XuyangCaoUCSD/LeoEM) 161 | 162 | [41] Search in the Expanse: Towards Active and Global IPv6 Hitlists 163 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229089](https://ieeexplore.ieee.org/abstract/document/10229089) 164 | * Code: [https://hbn1987.github.io/HMap6.github.io](https://hbn1987.github.io/HMap6.github.io) 165 | 166 | [42] SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems 167 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228870](https://ieeexplore.ieee.org/abstract/document/10228870) 168 | * Code: [https://github.com/corrado113/Semoran](https://github.com/corrado113/Semoran) 169 | 170 | [43] SkyNet: Multi-Drone Cooperation for Real-Time Person Identification and Localization 171 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228978](https://ieeexplore.ieee.org/abstract/document/10228978) 172 | * Code: [https://doi.org/10.5281/zenodo.7467108](https://doi.org/10.5281/zenodo.7467108) 173 | 174 | [44] Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens 175 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228989](https://ieeexplore.ieee.org/abstract/document/10228989) 176 | * Code: [https://git2.networks.imdea.org/wng/xai_aml-mobile-traffic-forecasting](https://git2.networks.imdea.org/wng/xai_aml-mobile-traffic-forecasting) 177 | 178 | [45] StreamSwitch: Fulfilling Latency Service-Layer Agreement for Stateful Streaming 179 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228903](https://ieeexplore.ieee.org/abstract/document/10228903) 180 | * Code: [https://github.com/sane-lab/StreamSwitch](https://github.com/sane-lab/StreamSwitch) 181 | 182 | [46] Target Coverage and Connectivity in Directional Wireless Sensor Networks 183 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10229093](https://ieeexplore.ieee.org/abstract/document/10229093) 184 | * Code: [https://doi.org/10.5281/zenodo.7444678](https://doi.org/10.5281/zenodo.7444678) 185 | 186 | [47] Tomography-based progressive network recovery and critical service restoration after massive failures 187 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10228861](https://ieeexplore.ieee.org/abstract/document/10228861) 188 | * Code: [https://github.com/matteoprata/Net-MARS.git](https://github.com/matteoprata/Net-MARS.git) 189 | 190 | [48] Scalable Real-Time Bandwidth Fairness in Switches 191 | * Paper: [https://ieeexplore.ieee.org/document/10228997](https://ieeexplore.ieee.org/document/10228997) 192 | * Code: [https://github.com/Princeton-Cabernet/AHAB](https://github.com/Princeton-Cabernet/AHAB) 193 | 194 | [49] Accelerating BLE Neighbor Discovery via Wi-Fi Fingerprints 195 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10225984](https://ieeexplore.ieee.org/abstract/document/10225984) 196 | * Code: [https://github.com/litonglab/find](https://github.com/litonglab/find) 197 | -------------------------------------------------------------------------------- /Conference_paper/INFOCOM_Paper_with_code/INFOCOM2024_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## 主会论文 2 | [1] 5G-TSN FlexTac: Experience A New Touch 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620809](https://ieeexplore.ieee.org/abstract/document/10620809) 4 | * Code: [https://github.com/5GCampus/tsn-testbed](https://github.com/5GCampus/tsn-testbed) 5 | 6 | [2] Detecting Stealthy GPS Spoofing Attack Against UAVs Using Onboard Sensors 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620818](https://ieeexplore.ieee.org/abstract/document/10620818) 8 | * Code: [https://github.com/anthony-finn/UAV-GPS-Spoofing-Dataset](https://github.com/anthony-finn/UAV-GPS-Spoofing-Dataset) 9 | 10 | [3] Evaluation of Control/User-Plane Denial-of-Service (DoS) Attack on O-RAN Fronthaul Interface 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620824](https://ieeexplore.ieee.org/abstract/document/10620824) 12 | * Code: [https://github.com/bmw-ece-ntust/cu-plane-dos-attacker](https://github.com/bmw-ece-ntust/cu-plane-dos-attacker) 13 | 14 | [4] Evaluation of User Plane Function Implementations in Real-World 5G Networks 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620666](https://ieeexplore.ieee.org/abstract/document/10620666) 16 | * Code: [https://github.com/schristakis/UPF-Evaluation](https://github.com/schristakis/UPF-Evaluation) 17 | 18 | [5] Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620877](https://ieeexplore.ieee.org/abstract/document/10620877) 20 | * Code: [https://github.com/Austin-TheTrueShinobi/IS-WiN-Fire-Classification-Research](https://github.com/Austin-TheTrueShinobi/IS-WiN-Fire-Classification-Research) 21 | 22 | [6] High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620904](https://ieeexplore.ieee.org/abstract/document/10620904) 24 | * Code: [https://github.com/ipc-lab/deepjscc-diffusion](https://github.com/ipc-lab/deepjscc-diffusion) 25 | 26 | [7] LLM-CloudSec: Large Language Model Empowered Automatic and Deep Vulnerability Analysis for Intelligent Clouds 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620804](https://ieeexplore.ieee.org/abstract/document/10620804) 28 | * Code: [https://github.com/DPCa0/LLM-CloudSec](https://github.com/DPCa0/LLM-CloudSec) 29 | 30 | [8] Patrolling Heterogeneous Targets with FANETs 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620789](https://ieeexplore.ieee.org/abstract/document/10620789) 32 | * Code: [https://github.com/matteoprata/DRONET-for-Patrolling](https://github.com/matteoprata/DRONET-for-Patrolling) 33 | 34 | [9] RollupNet: Trustless State Channels for Real-Time Cross Rollup Contract Execution 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620797](https://ieeexplore.ieee.org/abstract/document/10620797) 36 | * Code: [https://github.com/kilb/RollupNet](https://github.com/kilb/RollupNet) 37 | 38 | [10] SensingWall: Ultra-low Cost WiFi Wireless Sensing 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10620868](https://ieeexplore.ieee.org/abstract/document/10620868) 40 | * Code: [https://github.com/zubow/sensingwall](https://github.com/zubow/sensingwall) 41 | -------------------------------------------------------------------------------- /Conference_paper/ITSC_Paper_with_code/ITSC2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294257](https://ieeexplore.ieee.org/abstract/document/9294257) 3 | * Code: [https://github.com/yutlizy/Parking_Spot_Search](https://github.com/yutlizy/Parking_Spot_Search) 4 | 5 | [2] A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple 6 | Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294462](https://ieeexplore.ieee.org/abstract/document/9294462) 8 | * Code: [https://github.com/ika-rwth-aachen/Cam2BEV](https://github.com/ika-rwth-aachen/Cam2BEV) 9 | 10 | [3] Altitude offset constraint for mobile robots' localization 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294561](https://ieeexplore.ieee.org/abstract/document/9294561) 12 | * Code: [https://github.com/cabraile/Elevation-Offset-based-Filter](https://github.com/cabraile/Elevation-Offset-based-Filter) 13 | 14 | [4] BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294293](https://ieeexplore.ieee.org/abstract/document/9294293) 16 | * Code: [https://github.com/AlejandroBarrera/BirdNet2](https://github.com/AlejandroBarrera/BirdNet2) 17 | 18 | [5] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294483](https://ieeexplore.ieee.org/abstract/document/9294483) 20 | * Code: [https://github.com/ifnspaml/CIL_Segmentation](https://github.com/ifnspaml/CIL_Segmentation) 21 | 22 | [6] Comparison of Eco-Driving Strategies for Different Traffic-Management Measures 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294517](https://ieeexplore.ieee.org/abstract/document/9294517) 24 | * Code: [https://github.com/TUMFTM/Eco-Driving](https://github.com/TUMFTM/Eco-Driving) 25 | 26 | [7] Crossing-Road Pedestrian Trajectory Prediction Based on Intention and Behavior Identification 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294491](https://ieeexplore.ieee.org/abstract/document/9294491) 28 | * Code: [https://github.com/wuhaoran111/BPI-Dataset](https://github.com/wuhaoran111/BPI-Dataset) 29 | 30 | [8] DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294515](https://ieeexplore.ieee.org/abstract/document/9294515) 32 | * Code: [https://github.com/SensorsINI/ddd20-utils](https://github.com/SensorsINI/ddd20-utils) 33 | 34 | [9] Dynamic Graph Filters Networks: A Gray-box Model for Multistep Traffic Forecasting 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294627](https://ieeexplore.ieee.org/abstract/document/9294627) 36 | * Code: [https://github.com/RomainLITUD](https://github.com/RomainLITUD) 37 | 38 | [10] Dynamic Interaction Graphs for Driver Activity Recognition 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294520](https://ieeexplore.ieee.org/abstract/document/9294520) 40 | * Code: [https://github.com/opencv/cvat](https://github.com/opencv/cvat) 41 | * Code: [https://github.com/timknip/pycsg](https://github.com/timknip/pycsg) 42 | 43 | [11] Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World 44 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294368](https://ieeexplore.ieee.org/abstract/document/9294368) 45 | * Code: [https://github.com/lgsvl/simulator](https://github.com/lgsvl/simulator) 46 | 47 | [12] From Traffic Sensor Data To Semantic Traffic Descriptions: The Test Area Autonomous Driving Baden-Württemberg Dataset (TAF-BW Dataset) 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294539](https://ieeexplore.ieee.org/abstract/document/9294539) 49 | * Code: [https://github.com/fzi-forschungszentrum-informatik/test-area-autonomous-driving-dataset](https://github.com/fzi-forschungszentrum-informatik/test-area-autonomous-driving-dataset) 50 | 51 | [13] Identification of Spurious Labels in Machine Learning Data Sets using N-Version Validation 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294223](https://ieeexplore.ieee.org/abstract/document/9294223) 53 | * Code: [https://github.com/tudo-aqua/n-version-label-validation.git](https://github.com/tudo-aqua/n-version-label-validation.git) 54 | 55 | [14] Improved Faster RCNN for Traffic Sign Detection 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294270](https://ieeexplore.ieee.org/abstract/document/9294270) 57 | * Code: [https://github.com/jwyang/faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch) 58 | 59 | [15] LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294422](https://ieeexplore.ieee.org/abstract/document/9294422) 61 | * Code: [https://github.com/lgsvl/simulator](https://github.com/lgsvl/simulator) 62 | 63 | [16] Link Speed Estimation for Traffic Flow Modelling Based on Video Feeds from Monocular Cameras 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294234](https://ieeexplore.ieee.org/abstract/document/9294234) 65 | * Code: [https://github.com/ShantamShorewala/vehicle-speed-keypoint-data](https://github.com/ShantamShorewala/vehicle-speed-keypoint-data) 66 | 67 | [17] Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294535](https://ieeexplore.ieee.org/abstract/document/9294535) 69 | * Code: [https://github.com/RobertoNardone/Low-Power-Wide-Area-Networks-Review](https://github.com/RobertoNardone/Low-Power-Wide-Area-Networks-Review) 70 | 71 | [18] MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic 72 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294296](https://ieeexplore.ieee.org/abstract/document/9294296) 73 | * Code: [https://github.com/haohao11/MCENET](https://github.com/haohao11/MCENET) 74 | 75 | [19] Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients 76 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294445](https://ieeexplore.ieee.org/abstract/document/9294445) 77 | * Code: [https://github.com/hemangchawla/3d-groundtruth-traffic-sign-positions.git](https://github.com/hemangchawla/3d-groundtruth-traffic-sign-positions.git) 78 | 79 | [20] Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling 80 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294387](https://ieeexplore.ieee.org/abstract/document/9294387) 81 | * Code: [https://github.com/hofbi/mv-roi](https://github.com/hofbi/mv-roi) 82 | 83 | [21] PADENet: An Efficient and Robust Panoramic Monocular Depth Estimation Network for Outdoor Scenes 84 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294206](https://ieeexplore.ieee.org/abstract/document/9294206) 85 | * Code: [https://github.com/zzzkkkyyy/PADENet](https://github.com/zzzkkkyyy/PADENet) 86 | 87 | [22] Pixelwise Traffic Junction Segmentation for Urban Scene Understanding 88 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294654](https://ieeexplore.ieee.org/abstract/document/9294654) 89 | * Code: [https://www.github.com/cheneeheng/JunctionSegmentation](https://www.github.com/cheneeheng/JunctionSegmentation) 90 | 91 | [23] PROTRIP: Probabilistic Risk-Aware Optimal Transit Planner 92 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294500](https://ieeexplore.ieee.org/abstract/document/9294500) 93 | * Code: [https://github.com/pthangeda/protrip](https://github.com/pthangeda/protrip) 94 | 95 | [24] Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic 96 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294174](https://ieeexplore.ieee.org/abstract/document/9294174) 97 | * Code: [https://github.com/maxime-gueriau/ITSC2020_CAV_impact.git](https://github.com/maxime-gueriau/ITSC2020_CAV_impact.git) 98 | 99 | [25] Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation 100 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294554](https://ieeexplore.ieee.org/abstract/document/9294554) 101 | * Code: [https://github.com/Andreas-Pfeuffer/LSTM-ICNet](https://github.com/Andreas-Pfeuffer/LSTM-ICNet) 102 | 103 | [26] The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany 104 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294728](https://ieeexplore.ieee.org/abstract/document/9294728) 105 | * Code: [https://www.github.com/ika-rwth-aachen/drone-dataset-too](https://www.github.com/ika-rwth-aachen/drone-dataset-too) 106 | 107 | [27] Two-stream neural architecture for unsafe maneuvers classification from dashcam videos and GPS/IMU sensors 108 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294189](https://ieeexplore.ieee.org/abstract/document/9294189) 109 | * Code: [https://github.com/mattsim/shrp2-unsafe-maneuver](https://github.com/mattsim/shrp2-unsafe-maneuver) 110 | 111 | [28] V2XSim: A V2X Simulator for Connected and Automated Vehicle Environment Simulation 112 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9294660](https://ieeexplore.ieee.org/abstract/document/9294660) 113 | * Code: [https://github.com/next-generation-mobility-systems-lab/v2xsi](https://github.com/next-generation-mobility-systems-lab/v2xsi) -------------------------------------------------------------------------------- /Conference_paper/IV_Paper_with_code/IV2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304561](https://ieeexplore.ieee.org/abstract/document/9304561) 3 | * Code: [https://github.com/dongfang-steven-yang/vpi-crossing](https://github.com/dongfang-steven-yang/vpi-crossing) 4 | 5 | [2] An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304733](https://ieeexplore.ieee.org/abstract/document/9304733) 7 | * Code: [https://github.com/JWTHI](https://github.com/JWTHI) 8 | 9 | [3] An Experimental Study on 3D Person Localization in Traffic Scenes 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304607](https://ieeexplore.ieee.org/abstract/document/9304607) 11 | * Code: [https://github.com/kujason/avod](https://github.com/kujason/avod) 12 | 13 | [4] ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304626](https://ieeexplore.ieee.org/abstract/document/9304626) 15 | * Code: [https://github.com/mataiyuan/ASD-SLAM?files=1](https://github.com/mataiyuan/ASD-SLAM?files=1) 16 | 17 | [5] Back to School: Impact of Training on Driver Behavior and State in Autonomous Vehicles 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304537](https://ieeexplore.ieee.org/abstract/document/9304537) 19 | * Code: [https://github.com/srinathsibi/Safety-Driver-Failure-Training-Materials.git](https://github.com/srinathsibi/Safety-Driver-Failure-Training-Materials.git) 20 | 21 | [6] CFVL: A Coarse-to-Fine Vehicle Localizer with Omnidirectional Perception across Severe Appearance Variations 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304612](https://ieeexplore.ieee.org/abstract/document/9304612) 23 | * Code: [https://github.com/dachengzihhh/Chengyuan-dataset](https://github.com/dachengzihhh/Chengyuan-dataset) 24 | 25 | [7] CLAP: Cloud-and-Learning-compatible Autonomous driving Platform 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304828](https://ieeexplore.ieee.org/abstract/document/9304828) 27 | * Code: [https://github.com/CLAP-Framework/clap](https://github.com/CLAP-Framework/clap) 28 | 29 | [8] Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304570](https://ieeexplore.ieee.org/abstract/document/9304570) 31 | * Code: [https://github.com/BlueScottie/SUMOCarla-integration](https://github.com/BlueScottie/SUMOCarla-integration) 32 | 33 | [9] Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304810](https://ieeexplore.ieee.org/abstract/document/9304810) 35 | * Code: [https://github.com/ApolloAuto/apollo/tree/r5.0.0](https://github.com/ApolloAuto/apollo/tree/r5.0.0) 36 | 37 | [10] In Defense of Multi-Source Omni-Supervised Efficient ConvNet for Robust Semantic Segmentation in Heterogeneous Unseen Domains 38 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304768](https://ieeexplore.ieee.org/abstract/document/9304768) 39 | * Code: [https://github.com/elnino9ykl/OmniSupervised-ConvNet](https://github.com/elnino9ykl/OmniSupervised-ConvNet) 40 | 41 | [11] Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving 42 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304735](https://ieeexplore.ieee.org/abstract/document/9304735) 43 | * Code: [https://github.com/Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving](https://github.com/Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving) 44 | 45 | [12] Interaction-Aware Trajectory Prediction based on a 3D Spatio-Temporal Tensor Representation using Convolutional–Recurrent Neural Networks 46 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304846](https://ieeexplore.ieee.org/abstract/document/9304846) 47 | * Code: [https://github.com/nachiket92/conv-social-pooling](https://github.com/nachiket92/conv-social-pooling) 48 | 49 | [13] Lane Detection in Low-light Conditions Using an Efficient Data Enhancement: Light Conditions Style Transfer 50 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304613](https://ieeexplore.ieee.org/abstract/document/9304613) 51 | * Code: [https://github.com/Chenzhaowei13/Light-Condition-Style-Transfer](https://github.com/Chenzhaowei13/Light-Condition-Style-Transfer) 52 | 53 | [14] Learning to Compensate for the Drift and Error of Gyroscope in Vehicle Localization 54 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304715](https://ieeexplore.ieee.org/abstract/document/9304715) 55 | * Code: [https://github.com/CAOR-MINES-ParisTech/lwoi](https://github.com/CAOR-MINES-ParisTech/lwoi) 56 | * Code: [https://github.com/MichaelGrupp/evo](https://github.com/MichaelGrupp/evo) 57 | 58 | [15] Open Set Driver Activity Recognition 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304605](https://ieeexplore.ieee.org/abstract/document/9304605) 60 | * Code: [https://github.com/ankur8931/asap.gi](https://github.com/ankur8931/asap.gi) 61 | 62 | [16] PSDet: Efficient and Universal Parking Slot Detection 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304776](https://ieeexplore.ieee.org/abstract/document/9304776) 64 | * Code: [www.github.com/aroitberg/open-set-driver-activity-recognition](www.github.com/aroitberg/open-set-driver-activity-recognition) 65 | 66 | [17] SUSTech POINTS: A Portable 3D Point Cloud Interactive Annotation Platform System 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304562](https://ieeexplore.ieee.org/abstract/document/9304562) 68 | * Code: [https://github.com/ankur8931/asap.gi](https://github.com/ankur8931/asap.gi) 69 | 70 | [18] Task–Driven Image–to–Image Translation for Automotive Applications 71 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304667](https://ieeexplore.ieee.org/abstract/document/9304667) 72 | * Code: [https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) 73 | 74 | [19] TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components 75 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304676](https://ieeexplore.ieee.org/abstract/document/9304676) 76 | * Code: [https://github.com/hofbi/telecarla](https://github.com/hofbi/telecarla) 77 | 78 | [20] The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections 79 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9304839](https://ieeexplore.ieee.org/abstract/document/9304839) 80 | * Code: [https://github.com/ikarwth-aachen/inD-dataset](https://github.com/ikarwth-aachen/inD-dataset) 81 | 82 | [21] Towards Robust Direct Perception Networks for Automated Driving 83 | * Paper:[https://ieeexplore.ieee.org/abstract/document/9304548](https://ieeexplore.ieee.org/abstract/document/9304548) 84 | * Code:[https://github.com/TuSimple/tusimple-benchmark/wiki](https://github.com/TuSimple/tusimple-benchmark/wiki) 85 | 86 | [22] Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform 87 | * Paper:[https://ieeexplore.ieee.org/abstract/document/9304843](https://ieeexplore.ieee.org/abstract/document/9304843) 88 | * Code:[https://github.com/andreYoo/Adversarial_IFTN](https://github.com/andreYoo/Adversarial_IFTN) 89 | 90 | [23] Worst Perception Scenario Search for Autonomous Driving 91 | * Paper:[https://ieeexplore.ieee.org/abstract/document/9304731](https://ieeexplore.ieee.org/abstract/document/9304731) 92 | * Code:[https://github.com/facebookresearch/detectron2](https://github.com/facebookresearch/detectron2) -------------------------------------------------------------------------------- /Conference_paper/IV_Paper_with_code/IV2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] “Look Me in the Eyes!” Analyzing the Effects of Embodiment in Humanized Human-Machine Interaction in Heavy Trucks 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575548](https://ieeexplore.ieee.org/abstract/document/9575548) 3 | * Code: [https://github.com/iki-wgt/cerevoice_tts](https://github.com/iki-wgt/cerevoice_tts) 4 | * Code: [https://github.com/vanadiumlabs/arbotix_ros](https://github.com/vanadiumlabs/arbotix_ros) 5 | 6 | [2] A Loosely Coupled Vision-LiDAR Odometry using Covariance Intersection Filtering 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575275](https://ieeexplore.ieee.org/abstract/document/9575275) 8 | * Code: [https://github.com/HKUSTAerial-Robotics/A-LOAM](https://github.com/HKUSTAerial-Robotics/A-LOAM) 9 | 10 | [3] A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575715](https://ieeexplore.ieee.org/abstract/document/9575715) 12 | * Code: [https://github.com/ika-rwth-aachen/EviLOG](https://github.com/ika-rwth-aachen/EviLOG) 13 | 14 | [4] Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669258](https://ieeexplore.ieee.org/abstract/document/9669258) 16 | * Code: [https://github.com/TUMFTM/tod_perception](https://github.com/TUMFTM/tod_perception) 17 | 18 | [5] Automatic Data Collection using In-vehicle Camera Images for Training Machine Learning-based Local Image Feature Matchers 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575947](https://ieeexplore.ieee.org/abstract/document/9575947) 20 | * Code: [https://github.com/magicleap/SuperGluePretrainedNetwork](https://github.com/magicleap/SuperGluePretrainedNetwork) 21 | 22 | [6] Bayesian Confidence Calibration for Epistemic Uncertainty Modelling 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575841](https://ieeexplore.ieee.org/abstract/document/9575841) 24 | * Code: [https://github.com/EFSOpenSource/calibration-framework](https://github.com/EFSOpenSource/calibration-framework) 25 | 26 | [7] Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575536](https://ieeexplore.ieee.org/abstract/document/9575536) 28 | * Code: [https://av-testing.github.io/collision_avoidance_testing/](https://av-testing.github.io/collision_avoidance_testing/) 29 | 30 | [8] Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669255](https://ieeexplore.ieee.org/abstract/document/9669255) 32 | * Code: [https://github.com/NVIDIA/semantic-segmentation/tree/sdcnet](https://github.com/NVIDIA/semantic-segmentation/tree/sdcnet) 33 | 34 | [9] DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575362](https://ieeexplore.ieee.org/abstract/document/9575362) 36 | * Code: [https://github.com/Herrccc/DR-TANet](https://github.com/Herrccc/DR-TANet) 37 | 38 | [10] End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575135](https://ieeexplore.ieee.org/abstract/document/9575135) 40 | * Code: [https://github.com/ika-rwth-aachen/drone-dataset-tools](https://github.com/ika-rwth-aachen/drone-dataset-tools) 41 | 42 | [11] Evaluating Robustness over High Level Driving Instruction for Autonomous Driving 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575214](https://ieeexplore.ieee.org/abstract/document/9575214) 44 | * Code: [https://github.com/dotchen/LearningByCheating](https://github.com/dotchen/LearningByCheating) 45 | * Code: [https://github.com/valeoai/LearningByCheating](https://github.com/valeoai/LearningByCheating) 46 | 47 | [12] Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669207](https://ieeexplore.ieee.org/abstract/document/9669207) 49 | * Code: [https://github.com/PerCollECT](https://github.com/PerCollECT) 50 | 51 | [13] Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575397](https://ieeexplore.ieee.org/abstract/document/9575397) 53 | * Code: [https://lasnik.github.io/wsda/](https://lasnik.github.io/wsda/) 54 | 55 | [14] Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575131](https://ieeexplore.ieee.org/abstract/document/9575131) 57 | * Code: [https://github.com/joleeson/JRC-AoI.git](https://github.com/joleeson/JRC-AoI.git) 58 | 59 | [15] LiDAR Data Noise Models and Methodology for Sim-to-Real Domain Generalization and Adaptation in Autonomous Driving Perception 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9576034](https://ieeexplore.ieee.org/abstract/document/9576034) 61 | * Code: [https://github.com/traveller59/second.pytorch](https://github.com/traveller59/second.pytorch) 62 | * Code: [https://github.com/PRBonn/lidar-bonnetal/tree/master/train/tasks/semantic](https://github.com/PRBonn/lidar-bonnetal/tree/master/train/tasks/semantic) 63 | 64 | [16] Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing 65 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9576028](https://ieeexplore.ieee.org/abstract/document/9576028) 66 | * Code: [https://github.com/TUC-ProAut/HDC_driving_style_classification](https://github.com/TUC-ProAut/HDC_driving_style_classification) 67 | 68 | [17] Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575730](https://ieeexplore.ieee.org/abstract/document/9575730) 70 | * Code: [https://github.com/JWTHI/ViTAL-SCENE](https://github.com/JWTHI/ViTAL-SCENE) 71 | 72 | [18] Numerically Stable Dynamic Bicycle Model for Discrete-time Control 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669260](https://ieeexplore.ieee.org/abstract/document/9669260) 74 | * Code: [https://github.com/gqgit/IEEE-IV2021-numerically-stabledynamic-bicycle-model](https://github.com/gqgit/IEEE-IV2021-numerically-stabledynamic-bicycle-model) 75 | 76 | [19] Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669241](https://ieeexplore.ieee.org/abstract/document/9669241) 78 | * Code: [https://github.com/luca-varotto/Pparkin](https://github.com/luca-varotto/Pparkin) 79 | 80 | [20] Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios 81 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575433](https://ieeexplore.ieee.org/abstract/document/9575433) 82 | * Code: [https://github.com/lab176344/Traffic_Sceanrios-VoteBasedEVT](https://github.com/lab176344/Traffic_Sceanrios-VoteBasedEVT) 83 | 84 | [21] Optimization based 3D Multi-Object Tracking using Camera and Radar Data 85 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575636](https://ieeexplore.ieee.org/abstract/document/9575636) 86 | * Code: [https://github.com/TUC-ProAut/FG-3DMOT](https://github.com/TUC-ProAut/FG-3DMOT) 87 | 88 | [22] Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning 89 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575904](https://ieeexplore.ieee.org/abstract/document/9575904) 90 | * Code: [https://github.com/alexanderjaus/PPS](https://github.com/alexanderjaus/PPS) 91 | 92 | [23] PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data 93 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575694](https://ieeexplore.ieee.org/abstract/document/9575694) 94 | * Code: [https://github.com/open-mmlab/OpenPCDet](https://github.com/open-mmlab/OpenPCDet) 95 | 96 | [24] Predicting Lane Change Decision Making with Compact Support 97 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575307](https://ieeexplore.ieee.org/abstract/document/9575307) 98 | * Code: [https://github.com/huanghua1668/lc_csnn](https://github.com/huanghua1668/lc_csnn) 99 | 100 | [25] Simple Pair Pose - Pairwise Human Pose Estimation in Dense Urban Traffic Scenes 101 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575435](https://ieeexplore.ieee.org/abstract/document/9575435) 102 | * Code: [https://github.com/MVIG-SJTU/AlphaPose/tree/pytorch](https://github.com/MVIG-SJTU/AlphaPose/tree/pytorch) 103 | 104 | [26] SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications 105 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575443](https://ieeexplore.ieee.org/abstract/document/9575443) 106 | * Code: [https://github.com/Cram3r95/map-filtered-mot](https://github.com/Cram3r95/map-filtered-mot) 107 | 108 | [27] Temp-Frustum Net: 3D Object Detection with Temporal Fusion 109 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575392](https://ieeexplore.ieee.org/abstract/document/9575392) 110 | * Code: [https://github.com/emecercelik/Temp-Frustum-Net.git](https://github.com/emecercelik/Temp-Frustum-Net.git) 111 | 112 | [28] Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity 113 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575615](https://ieeexplore.ieee.org/abstract/document/9575615) 114 | * Code: [https://github.com/lab176344/TrafficScenarios-RFAPsClustering](https://github.com/lab176344/TrafficScenarios-RFAPsClustering) 115 | 116 | [29] Use of probabilistic graphical methods for online map validation 117 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669245](https://ieeexplore.ieee.org/abstract/document/9669245) 118 | * Code: [https://github.com/lparolin/mavroc_2021.git](https://github.com/lparolin/mavroc_2021.git) 119 | 120 | [30] Using Thermal Vision for Extended VINS-Mono to Localize Vehicles in Large-Scale Outdoor Road Environments 121 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575326](https://ieeexplore.ieee.org/abstract/document/9575326) 122 | * Code: [https://github.com/CORAL-CMU/kalibr](https://github.com/CORAL-CMU/kalibr) 123 | 124 | [31] Validation Method of a Self-Driving Architecture for Unexpected Pedestrian Scenario in CARLA Simulator 125 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9575884](https://ieeexplore.ieee.org/abstract/document/9575884) 126 | * Code: [https://github.com/RobeSafe-UAH/scenarios](https://github.com/RobeSafe-UAH/scenarios) 127 | 128 | [32] Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis 129 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9669248](https://ieeexplore.ieee.org/abstract/document/9669248) 130 | * Code: [https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/pytorch-v1.1](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/pytorch-v1.1) 131 | * Code: [https://github.com/NVIDIA/vid2vid](https://github.com/NVIDIA/vid2vid) 132 | * Code: [https://github.com/mrottmann/MetaSeg](https://github.com/mrottmann/MetaSeg) 133 | * Code: [https://github.com/openseg-group/openseg.pytorch](https://github.com/openseg-group/openseg.pytorch) -------------------------------------------------------------------------------- /Conference_paper/IV_Paper_with_code/IV2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] 3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827270](https://ieeexplore.ieee.org/abstract/document/9827270) 3 | * Code: [https://github.com/ika-rwth-aachen/Point-Cloud-Compression](https://github.com/ika-rwth-aachen/Point-Cloud-Compression) 4 | 5 | [2] 3D-FlowNet: Event-based optical flow estimation with 3D representation 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827380](https://ieeexplore.ieee.org/abstract/document/9827380) 7 | * Code: [https://github.com/adosum/3D-FlowNet](https://github.com/adosum/3D-FlowNet) 8 | 9 | [3] A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827042](https://ieeexplore.ieee.org/abstract/document/9827042) 11 | * Code: [https://github.com/BIT-XJY/RL-based-Transferable-EMS.git](https://github.com/BIT-XJY/RL-based-Transferable-EMS.git) 12 | 13 | [4] A Monte Carlo particle filter formulation for mapless-based localization 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827064](https://ieeexplore.ieee.org/abstract/document/9827064) 15 | * Code: [https://github.com/cabraile/Mapless-MCL-ROS](https://github.com/cabraile/Mapless-MCL-ROS) 16 | 17 | [5] A Spatio-Temporal Multilayer Perceptron for Gesture Recognition 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827054](https://ieeexplore.ieee.org/abstract/document/9827054) 19 | * Code: [https://github.com/holzbock/st_mlp](https://github.com/holzbock/st_mlp) 20 | 21 | [6] A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827401](https://ieeexplore.ieee.org/abstract/document/9827401) 23 | * Code: [https://github.com/providentia-project/a9-dev-kit](https://github.com/providentia-project/a9-dev-kit) 24 | 25 | [7] Action Inference of Rear Seat Passenger for In-Vehicle Service 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827225](https://ieeexplore.ieee.org/abstract/document/9827225) 27 | * Code: [https://github.com/DensoITLab/pvi](https://github.com/DensoITLab/pvi) 28 | 29 | [8] Agent-Based Autonomous Vehicle Simulation with Hardware Emulation in the Loop 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827215](https://ieeexplore.ieee.org/abstract/document/9827215) 31 | * Code: [https://github.com/zyantific/zydis](https://github.com/zyantific/zydis) 32 | 33 | [9] Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827342](https://ieeexplore.ieee.org/abstract/document/9827342) 35 | * Code: [https://github.com/ifnspaml/AmodalCityscapes](https://github.com/ifnspaml/AmodalCityscapes) 36 | 37 | [10] An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios 38 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827070](https://ieeexplore.ieee.org/abstract/document/9827070) 39 | * Code: [https://github.com/BIT-Jack/IETP](https://github.com/BIT-Jack/IETP) 40 | 41 | [11] ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network 42 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827175](https://ieeexplore.ieee.org/abstract/document/9827175) 43 | * Code: [https://github.com/javierAraluce/ARAGAN](https://github.com/javierAraluce/ARAGAN) 44 | 45 | [12] Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors 46 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827083](https://ieeexplore.ieee.org/abstract/document/9827083) 47 | * Code: [https://github.com/yding5/AdaptiveBinning](https://github.com/yding5/AdaptiveBinning) 48 | * Code: [https://github.com/ykotseruba/PedestrianActionBenchmark](https://github.com/ykotseruba/PedestrianActionBenchmark) 49 | * Code: [https://github.com/gpleiss/temperature_scaling](https://github.com/gpleiss/temperature_scaling) 50 | 51 | [13] Attention-based Proposals Refinement for 3D Object Detection 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827019](https://ieeexplore.ieee.org/abstract/document/9827019) 53 | * Code: [https://github.com/quan-dao/APRO3D-Net](https://github.com/quan-dao/APRO3D-Net) 54 | 55 | [14] Autonomous Vehicle Calibration via Linear Optimization 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827109](https://ieeexplore.ieee.org/abstract/document/9827109) 57 | * Code: [https://github.com/ros-perception/perception_pcl/tree/melodic-devel/pcl_ros](https://github.com/ros-perception/perception_pcl/tree/melodic-devel/pcl_ros) 58 | * Code: [https://github.com/ROBOTIS-GIT/turtlebot3](https://github.com/ROBOTIS-GIT/turtlebot3) 59 | * Code: [https://github.com/jmscslgroup/catvehicle](https://github.com/jmscslgroup/catvehicle) 60 | 61 | [15] CPM Olympics: Development of Scenarios for Benchmarking in Networked and Autonomous Driving 62 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827299](https://ieeexplore.ieee.org/abstract/document/9827299) 63 | * Code: [https://github.com/embedded-software-laboratory/Dataset-Converter](https://github.com/embedded-software-laboratory/Dataset-Converter) 64 | 65 | [16] CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving 66 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827341](https://ieeexplore.ieee.org/abstract/document/9827341) 67 | * Code: [https://github.com/MasterHow/CSFlow](https://github.com/MasterHow/CSFlow) 68 | 69 | [17] DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps 70 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827281](https://ieeexplore.ieee.org/abstract/document/9827281) 71 | * Code: [https://github.com/pytorch/vision](https://github.com/pytorch/vision) 72 | 73 | [18] Deep Federated Learning for Autonomous Driving 74 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827020](https://ieeexplore.ieee.org/abstract/document/9827020) 75 | * Code: [https://github.com/aioz-ai/FADNet](https://github.com/aioz-ai/FADNet) 76 | 77 | [19] Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles 78 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827241](https://ieeexplore.ieee.org/abstract/document/9827241) 79 | * Code: [https://github.com/arpan-kusari/Naturalistic-SUMO-Gym](https://github.com/arpan-kusari/Naturalistic-SUMO-Gym) 80 | 81 | [20] Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios 82 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827187](https://ieeexplore.ieee.org/abstract/document/9827187) 83 | * Code: [https://github.com/JWTHI/Expert-LaSTS](https://github.com/JWTHI/Expert-LaSTS) 84 | 85 | [21] Foresee the Unseen: Sequential Reasoning about Hidden Obstacles for Safe Driving 86 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827171](https://ieeexplore.ieee.org/abstract/document/9827171) 87 | * Code: [github.com/KTH-RPL-Planiacs/foresee-the-unseen](github.com/KTH-RPL-Planiacs/foresee-the-unseen) 88 | 89 | [22] G-VOM: A GPU Accelerated Voxel Off-Road Mapping System 90 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827107](https://ieeexplore.ieee.org/abstract/document/9827107) 91 | * Code: [https://github.com/unmannedlab/G-VOM](https://github.com/unmannedlab/G-VOM) 92 | 93 | [23] HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring 94 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827297](https://ieeexplore.ieee.org/abstract/document/9827297) 95 | * Code: [https://github.com/AlejandroDiazD/opendrive-mapping-planning](https://github.com/AlejandroDiazD/opendrive-mapping-planning) 96 | 97 | [24] How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline 98 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827271](https://ieeexplore.ieee.org/abstract/document/9827271) 99 | * Code: [https://github.com/RobeSafe-UAH/CARLA_Leaderboard](https://github.com/RobeSafe-UAH/CARLA_Leaderboard) 100 | 101 | [25] Infra Sim-to-Real: An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation 102 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827395](https://ieeexplore.ieee.org/abstract/document/9827395) 103 | * Code: [https://github.com/pranjay-dev/IS2R](https://github.com/pranjay-dev/IS2R) 104 | 105 | [26] Injecting Planning-Awareness into Prediction and Detection Evaluation 106 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827101](https://ieeexplore.ieee.org/abstract/document/9827101) 107 | * Code: [https://github.com/BorisIvanovic/PlanningAwareEvaluation](https://github.com/BorisIvanovic/PlanningAwareEvaluation) 108 | * Code: [https://github.com/nutonomy/nuscenes-devkit/blob/master/python-sdk/nuscenes/eval/detection/algo.py](https://github.com/nutonomy/nuscenes-devkit/blob/master/python-sdk/nuscenes/eval/detection/algo.py) 109 | 110 | [27] Is attention to bounding boxes all you need for pedestrian action prediction? 111 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827084](https://ieeexplore.ieee.org/abstract/document/9827084) 112 | * Code: [https://github.com/linaashaji/Action_Anticipation](https://github.com/linaashaji/Action_Anticipation) 113 | 114 | [28] Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827161](https://ieeexplore.ieee.org/abstract/document/9827161) 116 | * Code: [https://github.com/lhl881210/Visual-Vertical-Estimation-for-6-DoF-SVC-Model](https://github.com/lhl881210/Visual-Vertical-Estimation-for-6-DoF-SVC-Model) 117 | 118 | [29] PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827202](https://ieeexplore.ieee.org/abstract/document/9827202) 120 | * Code: [https://github.com/noboevbo/PedRec](https://github.com/noboevbo/PedRec) 121 | 122 | [30] Probabilistic Rainfall Estimation from Automotive Lidar 123 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827119](https://ieeexplore.ieee.org/abstract/document/9827119) 124 | * Code: [github.com/tier4/rainfall_modeling_open](github.com/tier4/rainfall_modeling_open) 125 | 126 | [31] Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions 127 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827424](https://ieeexplore.ieee.org/abstract/document/9827424) 128 | * Code: [https://github.com/SpencerKoevering/eCBFKaOptimization](https://github.com/SpencerKoevering/eCBFKaOptimization) 129 | 130 | [32] Residual MBConv Submanifold Module for 3D LiDAR-based Object Detection 131 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827381](https://ieeexplore.ieee.org/abstract/document/9827381) 132 | * Code: [https://github.com/s1mpleee/ResMBSubmanifold](https://github.com/s1mpleee/ResMBSubmanifold) 133 | 134 | [33] Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty 135 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827199](https://ieeexplore.ieee.org/abstract/document/9827199) 136 | * Code: [https://github.com/intel/ad-rss-lib](https://github.com/intel/ad-rss-lib) 137 | 138 | [34] Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection 139 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827087](https://ieeexplore.ieee.org/abstract/document/9827087) 140 | * Code: [https://github.com/SamVadidar/RGBT](https://github.com/SamVadidar/RGBT) 141 | 142 | [35] ROOAD: RELLIS Off-road Odometry Analysis Dataset 143 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827133](https://ieeexplore.ieee.org/abstract/document/9827133) 144 | * Code: [github.com/unmannedlab/ROOAD](github.com/unmannedlab/ROOAD) 145 | 146 | [36] Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation 147 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827231](https://ieeexplore.ieee.org/abstract/document/9827231) 148 | * Code: [https://github.com/tue-mps/Scene-STGCN](https://github.com/tue-mps/Scene-STGCN) 149 | 150 | [37] Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving 151 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827450](https://ieeexplore.ieee.org/abstract/document/9827450) 152 | * Code: [github.com/anita-hu/sim2real-lane-detection](github.com/anita-hu/sim2real-lane-detection) 153 | * Code: [github.com/anita-hu/simulanes](github.com/anita-hu/simulanes) 154 | 155 | [38] Socially-Optimal Auction-Theoretic Intersection Management System 156 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827216](https://ieeexplore.ieee.org/abstract/document/9827216) 157 | * Code: [https://github.com/the-hive-lab/autocross](https://github.com/the-hive-lab/autocross) 158 | 159 | [39] Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems 160 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827355](https://ieeexplore.ieee.org/abstract/document/9827355) 161 | * Code: [https://github.com/oshadajay/CeyRo](https://github.com/oshadajay/CeyRo) 162 | 163 | [40] Traffic Mirror-Aware POMDP Behavior Planning for Autonomous Urban Driving 164 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827139](https://ieeexplore.ieee.org/abstract/document/9827139) 165 | * Code: [https://github.com/GitChiZhang/GT-POMDP](https://github.com/GitChiZhang/GT-POMDP) 166 | 167 | [41] What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation 168 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9827116](https://ieeexplore.ieee.org/abstract/document/9827116) 169 | * Code: [https://github.com/HuguesTHOMAS/KPConv-PyTorch](https://github.com/HuguesTHOMAS/KPConv-PyTorch) 170 | * Code: [https://github.com/xinge008/Cylinder3D](https://github.com/xinge008/Cylinder3D) 171 | * Code: [https://github.com/PRBonn/lidar-bonnetal](https://github.com/PRBonn/lidar-bonnetal) 172 | * Code: [https://github.com/Halmstad-University/SalsaNex](https://github.com/Halmstad-University/SalsaNex) 173 | * Code: [https://github.com/xinge008/Cylinder3D/issues/23](https://github.com/xinge008/Cylinder3D/issues/23) -------------------------------------------------------------------------------- /Conference_paper/IV_Paper_with_code/IV2023_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Continuous Collision Detection Algorithm for Dubins Paths 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186576](https://ieeexplore.ieee.org/abstract/document/10186576) 3 | * Code: [https://github.com/GSchildbach/ContinuousCollisionDetection.git](https://github.com/GSchildbach/ContinuousCollisionDetection.git) 4 | 5 | [2] A Scaled Experiment Platform to Study Interactions Between Humans and CAVs 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186623](https://ieeexplore.ieee.org/abstract/document/10186623) 7 | * Code: [https://github.com/embedded-software-laboratory/p-dmpc](https://github.com/embedded-software-laboratory/p-dmpc) 8 | 9 | [3] A Simple and Model-Free Path Filtering Algorithm for Smoothing and Accuracy 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186704](https://ieeexplore.ieee.org/abstract/document/10186704) 11 | * Code: [https://github.com/UniBwTAS/ccma](https://github.com/UniBwTAS/ccma) 12 | 13 | [4] Adversarial Detection: Attacking Object Detection in Real Time 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186608](https://ieeexplore.ieee.org/abstract/document/10186608) 15 | * Code: [https://youtu.be/zJZ1aNlXsMU](https://youtu.be/zJZ1aNlXsMU) 16 | 17 | [5] Adversarial Driving: Attacking End-to-End Autonomous Driving 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186386](https://ieeexplore.ieee.org/abstract/document/10186386) 19 | * Code: [https://github.com/wuhanstudio/adversarial-driving](https://github.com/wuhanstudio/adversarial-driving) 20 | 21 | [6] Auto-tuning extended Kalman filters to improve state estimation 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186760](https://ieeexplore.ieee.org/abstract/document/10186760) 23 | * Code: [https://github.com/jonathancurrie/OPTI](https://github.com/jonathancurrie/OPTI) 24 | 25 | [7] Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186756](https://ieeexplore.ieee.org/abstract/document/10186756) 27 | * Code: [https://github.com/FordCVResearch/FIR-Trajectory-Prediction](https://github.com/FordCVResearch/FIR-Trajectory-Prediction) 28 | 29 | [8] Driver Gaze Fixation and Pattern Analysis in Safety Critical Events 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186718](https://ieeexplore.ieee.org/abstract/document/10186718) 31 | * Code: [https://github.com/VTTI/gaze-fixation-and-object-saliency](https://github.com/VTTI/gaze-fixation-and-object-saliency) 32 | * Code: [https://github.com/VTTI/Event-Correlation](https://github.com/VTTI/Event-Correlation) 33 | 34 | [9] Evidential deep learning-based multi-modal environment perception for intelligent vehicles 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186581](https://ieeexplore.ieee.org/abstract/document/10186581) 36 | * Code: [https://github.com/vasigiurgi/evi-cf-deep-learning-based-for-iv](https://github.com/vasigiurgi/evi-cf-deep-learning-based-for-iv) 37 | 38 | [10] Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186738](https://ieeexplore.ieee.org/abstract/document/10186738) 40 | * Code: [https://github.com/Eric-L-Manibardo/IV-2023](https://github.com/Eric-L-Manibardo/IV-2023) 41 | 42 | [11] Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186584](https://ieeexplore.ieee.org/abstract/document/10186584) 44 | * Code: [https://github.com/VTTI/driver-secondary-action-recognition](https://github.com/VTTI/driver-secondary-action-recognition) 45 | 46 | [12] Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186618](https://ieeexplore.ieee.org/abstract/document/10186618) 48 | * Code: [https://github.com/sisl/AutomotiveSimulator.jl](https://github.com/sisl/AutomotiveSimulator.jl) 49 | 50 | [13] Holistic Driving Scenario Concept for Urban Traffic 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186385](https://ieeexplore.ieee.org/abstract/document/10186385) 52 | * Code: [https://github.com/ika-rwth-aachen/omega_format](https://github.com/ika-rwth-aachen/omega_format) 53 | 54 | [14] How Fast is My Software? Latency Evaluation for a ROS 2 Autonomous Driving Software 55 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186585](https://ieeexplore.ieee.org/abstract/document/10186585) 56 | * Code: [https://github.com/TUM-AVS/ros2_latency_analysis](https://github.com/TUM-AVS/ros2_latency_analysis) 57 | 58 | [15] Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios 59 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186666](https://ieeexplore.ieee.org/abstract/document/10186666) 60 | * Code: [https://github.com/RobeSafe-UAH/HybridDecisionMaking](https://github.com/RobeSafe-UAH/HybridDecisionMaking) 61 | 62 | [16] Improving Vehicle Trajectory Prediction with Online Learning 63 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186557](https://ieeexplore.ieee.org/abstract/document/10186557) 64 | * Code: [https://github.com/Tsinghua-MARS-Lab/DenseTNT](https://github.com/Tsinghua-MARS-Lab/DenseTNT) 65 | 66 | [17] Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs 67 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186811](https://ieeexplore.ieee.org/abstract/document/10186811) 68 | * Code: [https://github.com/iag0g0mes/intention_gat.git](https://github.com/iag0g0mes/intention_gat.git) 69 | 70 | [18] Investigating a Pressure Sensitive Surface Layer for Vehicle Localization 71 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186582](https://ieeexplore.ieee.org/abstract/document/10186582) 72 | * Code: [https://github.com/embedded-software-laboratory/ssl-vehicle-tracking](https://github.com/embedded-software-laboratory/ssl-vehicle-tracking) 73 | 74 | [19] L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal Camera 75 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186657](https://ieeexplore.ieee.org/abstract/document/10186657) 76 | * Code: [https://github.com/Clothooo/lvt2calib](https://github.com/Clothooo/lvt2calib) 77 | 78 | [20] Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning 79 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186668](https://ieeexplore.ieee.org/abstract/document/10186668) 80 | * Code: [https://github.com/TUMFTM/EthicalTrajectoryPlanning](https://github.com/TUMFTM/EthicalTrajectoryPlanning) 81 | 82 | [21] M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection 83 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186731](https://ieeexplore.ieee.org/abstract/document/10186731) 84 | * Code: [https://github.com/yhl1010/M2F2-Net](https://github.com/yhl1010/M2F2-Net) 85 | 86 | [22] Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors 87 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186527](https://ieeexplore.ieee.org/abstract/document/10186527) 88 | * Code: [https://github.com/Karthikeyanc2/class-specific-experts](https://github.com/Karthikeyanc2/class-specific-experts) 89 | 90 | [23] Path Planning for Autonomous Driving with Curvature-considered Quadratic Optimization 91 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186766](https://ieeexplore.ieee.org/abstract/document/10186766) 92 | * Code: [https://github.com/badaolaziang/pjpo-curvature](https://github.com/badaolaziang/pjpo-curvature) 93 | 94 | [24] PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios 95 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186651](https://ieeexplore.ieee.org/abstract/document/10186651) 96 | * Code: [https://github.com/SOTIF-AVLab/PeSOTIF](https://github.com/SOTIF-AVLab/PeSOTIF) 97 | 98 | [25] PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection 99 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186683](https://ieeexplore.ieee.org/abstract/document/10186683) 100 | * Code: [https://github.com/Chientsung-Chou/PMR-CNN](https://github.com/Chientsung-Chou/PMR-CNN) 101 | 102 | [26] Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework 103 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186644](https://ieeexplore.ieee.org/abstract/document/10186644) 104 | * Code: [https://github.com/FraunhoferIKS/smf-object-detection](https://github.com/FraunhoferIKS/smf-object-detection) 105 | 106 | [27] Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority 107 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186772](https://ieeexplore.ieee.org/abstract/document/10186772) 108 | * Code: [https://github.com/YimingShu-teay/Safety-critical-Decision-making-and-Control](https://github.com/YimingShu-teay/Safety-critical-Decision-making-and-Control) 109 | 110 | [28] STRETCH: Generating Challenging Scenarios for Testing Collision Avoidance Systems 111 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186634](https://ieeexplore.ieee.org/abstract/document/10186634) 112 | * Code: [https://github.com/franzscheuer/STRETCH/](https://github.com/franzscheuer/STRETCH/) 113 | 114 | [29] The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186776](https://ieeexplore.ieee.org/abstract/document/10186776) 116 | * Code: [https://github.com/kav-institute/imptc-dataset](https://github.com/kav-institute/imptc-dataset) 117 | 118 | [30] Toward Map Updates with Crosswalk Change Detection Using a Monocular Bus Camera 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186622](https://ieeexplore.ieee.org/abstract/document/10186622) 120 | * Code: [https://tom-bu.github.io/BusCamCrosswalkCD](https://tom-bu.github.io/BusCamCrosswalkCD) 121 | 122 | [31] Towards Continual Knowledge Learning of Vehicle CAN-data 123 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186715](https://ieeexplore.ieee.org/abstract/document/10186715) 124 | * Code: [https://github.com/ContinualAI/avalanche](https://github.com/ContinualAI/avalanche) 125 | * Code: [https://github.com/g-u-n/pycil](https://github.com/g-u-n/pycil) 126 | 127 | [32] Unified Pedestrian Path Prediction Framework: A Comparison Study 128 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186739](https://ieeexplore.ieee.org/abstract/document/10186739) 129 | * Code: [https://github.com/tue-mps/unified-pedestrian-path-prediction-framework](https://github.com/tue-mps/unified-pedestrian-path-prediction-framework) 130 | 131 | [33] Varying Road Surface Condition Estimation in Ego and Adjacent Lanes 132 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186540](https://ieeexplore.ieee.org/abstract/document/10186540) 133 | * Code: [https://github.com/robertbrada/PyQt-image-annotation-tool](https://github.com/robertbrada/PyQt-image-annotation-tool) 134 | 135 | [34] Vision-RADAR fusion for Robotics BEV Detections: A Survey 136 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10186647](https://ieeexplore.ieee.org/abstract/document/10186647) 137 | * Code: [https://github.com/ApoorvRoboticist/Vision-RADAR-Fusion-BEV-Survey](https://github.com/ApoorvRoboticist/Vision-RADAR-Fusion-BEV-Survey) -------------------------------------------------------------------------------- /Conference_paper/MSN_Paper_with_code/MSN2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] An Ensemble Learning Approach for Extracting Concept Prerequisite Relations from Wikipedia 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394266](https://ieeexplore.ieee.org/abstract/document/9394266) 3 | * Code: [https://github.com/zy1024cs/Mining-Wikipedia-Concept-Prerequisites-RelatedCodes-and-Data](https://github.com/zy1024cs/Mining-Wikipedia-Concept-Prerequisites-RelatedCodes-and-Data) 4 | * Code: [https://github.com/harrylclc/AL-CPL-dataset](https://github.com/harrylclc/AL-CPL-dataset) 5 | 6 | [2] Autonomous Security Analysis and Penetration Testing 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394285](https://ieeexplore.ieee.org/abstract/document/9394285) 8 | * Code: [https://github.com/ankur8931/asap.gi](https://github.com/ankur8931/asap.gi) 9 | 10 | [3] BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394256](https://ieeexplore.ieee.org/abstract/document/9394256) 12 | * Code: [https://github.com/trufflesuite/ganache](https://github.com/trufflesuite/ganache) 13 | 14 | [4] Early Botnet Detection for the Internet and the Internet of Things by Autonomous Machine Learning 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394321](https://ieeexplore.ieee.org/abstract/document/9394321) 16 | * Code: [https://github.com/axms/ANTE](https://github.com/axms/ANTE) 17 | 18 | [5] LoRaCTP: a LoRa based Content Transfer Protocol for sustainable edge computing 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394317](https://ieeexplore.ieee.org/abstract/document/9394317) 20 | * Code: [https://github.com/pmanzoni/loractp](https://github.com/pmanzoni/loractp) 21 | 22 | [6] QoS Optimization of DNN Serving Systems Based on Per-Request Latency Characteristics 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394251](https://ieeexplore.ieee.org/abstract/document/9394251) 24 | * Code: [https://github.com/tensorflow/serving](https://github.com/tensorflow/serving) 25 | 26 | [7] Real-Time Survivor Detection in UAV Thermal Imagery Based on Deep Learning 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9394263](https://ieeexplore.ieee.org/abstract/document/9394263) 28 | * Code: [https://github.com/tzutalin/labelImg](https://github.com/tzutalin/labelImg) 29 | * Code: [https://github.com/paddlepaddle/paddle](https://github.com/paddlepaddle/paddle) -------------------------------------------------------------------------------- /Conference_paper/MSN_Paper_with_code/MSN2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] BALSAPro: Towards A Security Protocol for Bluetooth Low Energy 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751548](https://ieeexplore.ieee.org/abstract/document/9751548) 3 | * Code: [https://github.com/mohamadmowfakhlal/rest-json-quickstartuser](https://github.com/mohamadmowfakhlal/rest-json-quickstartuser) 4 | * Code: [https://github.com/mohamadmowfakhlal/BLEGattClient](https://github.com/mohamadmowfakhlal/BLEGattClient) 5 | * Code: [https://github.com/mohamadmowfakhlal/BLEGATTServer](https://github.com/mohamadmowfakhlal/BLEGATTServer) 6 | 7 | [2] Defending Against Byzantine Attacks in Quantum Federated Learning 8 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751508](https://ieeexplore.ieee.org/abstract/document/9751508) 9 | * Code: [https://github.com/qutip/qutip](https://github.com/qutip/qutip) 10 | 11 | [3] Design and Implementation of a RISC V Processor on FPGA 12 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751566](https://ieeexplore.ieee.org/abstract/document/9751566) 13 | * Code: [https://github.com/Ludini1/minimal-risc-v-cpu](https://github.com/Ludini1/minimal-risc-v-cpu) 14 | 15 | [4] Efficient Privacy-Preserving Federated Learning for Resource-Constrained Edge Devices 16 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751555](https://ieeexplore.ieee.org/abstract/document/9751555) 17 | * Code: [https://github.com/Jindi0/EPPFL](https://github.com/Jindi0/EPPFL) 18 | 19 | [5] Evaluating Multimedia Protocols on 5G Edge for Mobile Augmented Reality 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751563](https://ieeexplore.ieee.org/abstract/document/9751563) 21 | * Code: [https://github.com/MonaSolutions/librtmfp](https://github.com/MonaSolutions/librtmfp) 22 | * Code: [https://github.com/deradev/mpquicScheduler](https://github.com/deradev/mpquicScheduler) 23 | 24 | [6] Flow Transformer: A Novel Anonymity Network Traffic Classifier with Attention Mechanism 25 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751521](https://ieeexplore.ieee.org/abstract/document/9751521) 26 | * Code: [https://github.com/iZRJ/The-SJTU-AN21-Dataset](https://github.com/iZRJ/The-SJTU-AN21-Dataset) 27 | 28 | [7] Learning Discriminative Features for Adversarial Robustness 29 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751568](https://ieeexplore.ieee.org/abstract/document/9751568) 30 | * Code: [https://github.com/rjhosler/arcface-pytorch](https://github.com/rjhosler/arcface-pytorch) 31 | 32 | [8] MsfNet: a novel small object detection based on multi-scale feature fusion 33 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751540](https://ieeexplore.ieee.org/abstract/document/9751540) 34 | * Code: [https://github.com/modaxiansheng/Birds-YOLO](https://github.com/modaxiansheng/Birds-YOLO) 35 | 36 | [9] Neural Adaptive IoT Streaming Analytics with RL-Adapt 37 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9751485](https://ieeexplore.ieee.org/abstract/document/9751485) 38 | * Code: [https://github.com/rladapt/rladapt](https://github.com/rladapt/rladapt) -------------------------------------------------------------------------------- /Conference_paper/MSN_Paper_with_code/MSN2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] DiNS: Nature Disaster in Network Simulations 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10076602](https://ieeexplore.ieee.org/abstract/document/10076602) 3 | * Code: [https://gitlab.com/nisalhem/DiNS-nature-disaster-in-network-simulations](https://gitlab.com/nisalhem/DiNS-nature-disaster-in-network-simulations) 4 | * Code: [https://gitlab.com/nisalhem/DiNS-verification-optimization-tools](https://gitlab.com/nisalhem/DiNS-verification-optimization-tools) 5 | 6 | [2] Mobile6TiSCH: a Simulator for 6TiSCH-based Industrial IoT Networks with Mobile Nodes 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10076587](https://ieeexplore.ieee.org/abstract/document/10076587) 8 | * Code: [https://github.com/marcopettorali/Mobile6TiSCH](https://github.com/marcopettorali/Mobile6TiSCH) -------------------------------------------------------------------------------- /Conference_paper/VTC_Paper_with_code/VTC2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## IEEE VTC2020-Spring 2 | [1] CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9129126](https://ieeexplore.ieee.org/abstract/document/9129126) 4 | * Code: [https://github.com/sibrendebast/MaMIMO_CSI_with_CNN_positioning](https://github.com/sibrendebast/MaMIMO_CSI_with_CNN_positioning) 5 | 6 | [2] Energy Consumption Optimization for CSMA/CA Protocol Employing Machine Learning 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9128450](https://ieeexplore.ieee.org/abstract/document/9128450) 8 | * Code: [https://github.com/pafil137/NN/tree/master/GColab-master/DProjectDEEP](https://github.com/pafil137/NN/tree/master/GColab-master/DProjectDEEP) 9 | 10 | **[3] Intrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application** 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9129461](https://ieeexplore.ieee.org/abstract/document/9129461) 12 | * Code: [https://github.com/udacity/self-driving-car](https://github.com/udacity/self-driving-car) 13 | 14 | **[4] NDNIDS: An Intrusion Detection System for NDN Based VANET** 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9129365](https://ieeexplore.ieee.org/abstract/document/9129365) 16 | * Code: [https://github.com/praveensankar/NDNIDS](https://github.com/praveensankar/NDNIDS) 17 | 18 | **[5] On Urban Traffic Flow Benefits of Connected and Automated Vehicles** 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9128758](https://ieeexplore.ieee.org/abstract/document/9128758) 20 | * Code: [https://github.com/v2x-dev/sumoCAVs](https://github.com/v2x-dev/sumoCAVs) 21 | 22 | [6] Open Monitoring Platform for Mobile Broadband 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9128798](https://ieeexplore.ieee.org/abstract/document/9128798) 24 | * Code: [https://github.com/MONROE-PROJECT](https://github.com/MONROE-PROJECT) 25 | * Code: [https://github.com/esnet/iperf](https://github.com/esnet/iperf) 26 | * Code: [https://github.com/docker](https://github.com/docker) 27 | * Code: [https://github.com/spring-projects/spring-boot](https://github.com/spring-projects/spring-boot) 28 | * Code: [https://github.com/spring-cloud](https://github.com/spring-cloud) 29 | * Code: [https://github.com/postgres/postgres](https://github.com/postgres/postgres) 30 | * Code: [https://github.com/rust-lang/rust](https://github.com/rust-lang/rust) 31 | * Code: [https://github.com/facebook/react](https://github.com/facebook/react) 32 | * Code: [https://gitlab.com/gitlabwolf/infrastructure-for-mobile](https://gitlab.com/gitlabwolf/infrastructure-for-mobile) 33 | 34 | ## IEEE VTC2020-Fall 35 | **[7] A Popularity- and Mobility-Aware Multi-layer Caching with Feedback Mechanism for Highway Vehicular Networks** 36 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348855](https://ieeexplore.ieee.org/abstract/document/9348855) 37 | * Code: [https://github.com/zhaoyanlyu/ACBC](https://github.com/zhaoyanlyu/ACBC) 38 | 39 | **[8] AutoC2X: Open-source software to realize V2X cooperative perception among autonomous vehicles** 40 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348525](https://ieeexplore.ieee.org/abstract/document/9348525) 41 | * Code: [https://github.com/esakilab/AutoC2X-AW](https://github.com/esakilab/AutoC2X-AW) 42 | 43 | **[9] Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation** 44 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348690](https://ieeexplore.ieee.org/abstract/document/9348690) 45 | * Code: [http://github.com/ristea/arim](http://github.com/ristea/arim) 46 | 47 | [10] Interference Classification Using Deep Neural Networks 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348658](https://ieeexplore.ieee.org/abstract/document/9348658) 49 | * Code: [https://github.com/yujianyuanhaha/IntfClassify](https://github.com/yujianyuanhaha/IntfClassify) 50 | 51 | **[11] Modified Dynamic Time Warping with a Reference Path for Alignment of Repeated Drive-Tests** 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348487](https://ieeexplore.ieee.org/abstract/document/9348487) 53 | * Code: [https://github.com/vraida/Export-waypoints-from-OpenStreetMap](https://github.com/vraida/Export-waypoints-from-OpenStreetMap) 54 | 55 | [12] Multi-band sub-GHz technology recognition on NVIDIA’s Jetson Nano 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348566](https://ieeexplore.ieee.org/abstract/document/9348566) 57 | * Code: [https://github.com/ewine-project/SubGHztechnologies-dataset-Sigfox-LoRA-and-IEEE802.15.4g-subGHz](https://github.com/ewine-project/SubGHztechnologies-dataset-Sigfox-LoRA-and-IEEE802.15.4g-subGHz) 58 | 59 | **[13] OrbWeaver: Towards Comparable High-Load V2X Simulations** 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348688](https://ieeexplore.ieee.org/abstract/document/9348688) 61 | * Code: [https://github.com/ibr-cm/orbweaver](https://github.com/ibr-cm/orbweaver) 62 | 63 | [14] Particle Filter Based Localization of Access Points Using Direction of Arrival on Mobile Robots 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348813](https://ieeexplore.ieee.org/abstract/document/9348813) 65 | * Code: [https://github.com/herolab-uga/indoor-rssi-mobile-robot](https://github.com/herolab-uga/indoor-rssi-mobile-robot) 66 | 67 | [15] Wireless D2D Network Link Scheduling based on Graph Embedding 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9348728](https://ieeexplore.ieee.org/abstract/document/9348728) 69 | * Code: [https://github.com/Hanjun-Dai/pytorch_structure2vec/tree/master/s2v_lib](https://github.com/Hanjun-Dai/pytorch_structure2vec/tree/master/s2v_lib) -------------------------------------------------------------------------------- /Conference_paper/VTC_Paper_with_code/VTC2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## IEEE VTC2021-Spring 2 | **[1] An Evolving Ontology for Vehicle Signals** 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448884](https://ieeexplore.ieee.org/abstract/document/9448884) 4 | * Code: [https://github.com/w3c/vsso/blob/main/competency-questions.md](https://github.com/w3c/vsso/blob/main/competency-questions.md) 5 | * Code: [https://github.com/w3c/vsso](https://github.com/w3c/vsso) 6 | * Code: [https://github.com/w3c/vsso/blob/main/competency-questions.md](https://github.com/w3c/vsso/blob/main/competency-questions.md) 7 | * Code: [https://github.com/danielwilms/vsso-demo](https://github.com/danielwilms/vsso-demo) 8 | * Code: [https://genivi.github.io/vehicle_signal_specification/](https://genivi.github.io/vehicle_signal_specification/) 9 | 10 | [2] Joint Detection and Classification of RF Signals Using Deep Learning 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9449073](https://ieeexplore.ieee.org/abstract/document/9449073) 12 | * Code: [https://github.com/AlexeyAB/darknet](https://github.com/AlexeyAB/darknet) 13 | 14 | [3] Near-field localization using machine learning: an empirical study 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9449002](https://ieeexplore.ieee.org/abstract/document/9449002) 16 | * Code: [https://github.com/mlaaks/coherent-rtlsdr](https://github.com/mlaaks/coherent-rtlsdr) 17 | * Code: [https://github.com/mlaaks/NFLOPnet](https://github.com/mlaaks/NFLOPnet) 18 | 19 | [4] Nonlinear Precoding for Quantized Outphasing RF Chains in Massive MIMO Systems 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448980](https://ieeexplore.ieee.org/abstract/document/9448980) 21 | * Code: [https://github.com/karthikupadhya/nonlinearPrecoding-outphasi](https://github.com/karthikupadhya/nonlinearPrecoding-outphasi) 22 | 23 | [5] PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge 24 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448959](https://ieeexplore.ieee.org/abstract/document/9448959) 25 | * Code: [https://github.com/cedrikschueler/PARRoT](https://github.com/cedrikschueler/PARRoT) 26 | 27 | **[6] SDR-based Open-Source C-V2X Traffic Generator for Stress Testing Vehicular Communication** 28 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9449043](https://ieeexplore.ieee.org/abstract/document/9449043) 29 | * Code: [https://github.com/FabianEckermann/cv2x-traffic-generator](https://github.com/FabianEckermann/cv2x-traffic-generator) 30 | 31 | [7] Slice-aware energy saving algorithm for 5G networks based on simplicial homology 32 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448860](https://ieeexplore.ieee.org/abstract/document/9448860) 33 | * Code: [https://github.com/adejavel/5GSliceAwareEnergySaving](https://github.com/adejavel/5GSliceAwareEnergySaving) 34 | 35 | [8] Terminal-Side Data Rate Prediction For High-Mobility Users 36 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448806](https://ieeexplore.ieee.org/abstract/document/9448806) 37 | * Code: [https://github.com/fraunhoferhhi/measurement-data-terminal-side-data-rate-prediction](https://github.com/fraunhoferhhi/measurement-data-terminal-side-data-rate-prediction) 38 | 39 | [9] Towards a new open-source 5G development framework: an introduction to free5GRAN 40 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9448964](https://ieeexplore.ieee.org/abstract/document/9448964) 41 | * Code: [https://github.com/free5G/free5GRAN](https://github.com/free5G/free5GRAN) 42 | 43 | ## IEEE VTC2021-Fall 44 | **[10] A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing** 45 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625245](https://ieeexplore.ieee.org/abstract/document/9625245) 46 | * Code: [https://github.com/NguyenHongDuc2307/OffloadingVEC](https://github.com/NguyenHongDuc2307/OffloadingVEC) 47 | 48 | [11] Blockchain-Enabled Clustered Federated Learning in Fog Computing Networks 49 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625303](https://ieeexplore.ieee.org/abstract/document/9625303) 50 | * Code: [https://github.com/hyperledger/fabric/tree/main/core/chaincode](https://github.com/hyperledger/fabric/tree/main/core/chaincode) 51 | 52 | **[12] Edge Learning of Vehicular Trajectories at Regulated Intersections** 53 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625570](https://ieeexplore.ieee.org/abstract/document/9625570) 54 | * Code: [https://github.com/krish-din/C-AVOID](https://github.com/krish-din/C-AVOID) 55 | 56 | [13] LETT: An Execution Model for Distributed Real-Time Systems 57 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625343](https://ieeexplore.ieee.org/abstract/document/9625343) 58 | * Code: [https://github.com/audi/fep3_sdk](https://github.com/audi/fep3_sdk) 59 | 60 | [14] Machine Learning Based mmWave Orchestration for Edge Gaming QoE Enhancement 61 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625307](https://ieeexplore.ieee.org/abstract/document/9625307) 62 | * Code: [https://github.com/malrabeiah/VABT](https://github.com/malrabeiah/VABT) 63 | 64 | **[15] MoReV2X - A New Radio Vehicular Communication Module for ns-3** 65 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625478](https://ieeexplore.ieee.org/abstract/document/9625478) 66 | * Code: [https://github.com/LLusvarghi/MoReV2X](https://github.com/LLusvarghi/MoReV2X) 67 | 68 | [16] Optimal Throughput of the Full-Duplex Two-Way Relay System with Energy Harvesting 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625087](https://ieeexplore.ieee.org/abstract/document/9625087) 70 | * Code: [https://github.com/kaiqiZhong/Proof](https://github.com/kaiqiZhong/Proof) 71 | 72 | **[17] Supporting Sporadic DENM Traffic over 5G-V2X Sidelink in the Autonomous Mode** 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625479](https://ieeexplore.ieee.org/abstract/document/9625479) 74 | * Code: [https://github.com/alessandrobazzi/LTEV2Vsim](https://github.com/alessandrobazzi/LTEV2Vsim) 75 | 76 | **[18] Towards a Camera-Based Road Damage Assessment and Detection for Autonomous Vehicles: Applying Scaled-YOLO and CVAE-WGAN** 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625213](https://ieeexplore.ieee.org/abstract/document/9625213) 78 | * Code: [https://github.com/sekilab/RoadDamageDetector](https://github.com/sekilab/RoadDamageDetector) 79 | * Code: [https://github.com/glenn-jocher](https://github.com/glenn-jocher) 80 | 81 | [19] Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing 82 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9625236](https://ieeexplore.ieee.org/abstract/document/9625236) 83 | * Code: [https://www.github.com/cedrikschueler/PARRoT](https://www.github.com/cedrikschueler/PARRoT) -------------------------------------------------------------------------------- /Conference_paper/VTC_Paper_with_code/VTC2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## IEEE VTC2022-Spring 2 | [1] AODV-LD: Link Duration Based Routing for Multi-Hop Aircraft-to-Ground Communication 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860831/](https://ieeexplore.ieee.org/abstract/document/9860831/) 4 | * Code: [https://github.com/ComNetsHH/aodv-ld-simulator](https://github.com/ComNetsHH/aodv-ld-simulator) 5 | 6 | [2] Deep Learning Based MAC via Joint Channel Access and Rate Adaptation 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860617/](https://ieeexplore.ieee.org/abstract/document/9860617/) 8 | * Code: [https://github.com/postman511/Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset](https://github.com/postman511/Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset) 9 | 10 | [3] Deep Learning-Based Optimal Transmission of Embedded Images Over Interference Channels 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860991/](https://ieeexplore.ieee.org/abstract/document/9860991/) 12 | * Code: [https://github.com/wmalab1/program](https://github.com/wmalab1/program) 13 | 14 | [4] Empirical Analysis of Bi-directional Wi-Fi Network Performance on Mobile Robots in Indoor Environments 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860438/](https://ieeexplore.ieee.org/abstract/document/9860438/) 16 | * Code: [https://github.com/herolab-uga/ros-network-analysis](https://github.com/herolab-uga/ros-network-analysis) 17 | 18 | [5] FWSResNet: An Edge Device Fingerprinting Framework Based on Scattering and Convolutional Networks 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860472/](https://ieeexplore.ieee.org/abstract/document/9860472/) 20 | * Code: [https://github.com/ZhanyiRen/LTE-Datasets.git](https://github.com/ZhanyiRen/LTE-Datasets.git) 21 | 22 | [6] Handover Skipping Analysis in Dense Cellular Network Using Poisson Cluster Process 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860502/](https://ieeexplore.ieee.org/abstract/document/9860502/) 24 | * Code: [https://github.com/k-tokuyama/VTC_numerical_experiments](https://github.com/k-tokuyama/VTC_numerical_experiments) 25 | 26 | [7] Indoor Positioning via Gradient Boosting Enhanced with Feature Augmentation using Deep Learning 27 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860759/](https://ieeexplore.ieee.org/abstract/document/9860759/) 28 | * Code: [https://www.github.com/AshkanGoharfar/inoutpos](https://www.github.com/AshkanGoharfar/inoutpos) 29 | 30 | [8] MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN 31 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860807/](https://ieeexplore.ieee.org/abstract/document/9860807/) 32 | * Code: [https://github.com/Farzad-Azizi/MIX-MAB](https://github.com/Farzad-Azizi/MIX-MAB) 33 | 34 | [9] Neural Network-Based optimization of Progressive Image Transmission in MIMO Systems 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860916/](https://ieeexplore.ieee.org/abstract/document/9860916/) 36 | * Code: [https://github.com/wmalab1/codes](https://github.com/wmalab1/codes) 37 | 38 | **[10] S-LDM: Server Local Dynamic Map for Vehicular Enhanced Collective Perception** 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860701/](https://ieeexplore.ieee.org/abstract/document/9860701/) 40 | * Code: [https://github.com/francescoraves483/S-LDM](https://github.com/francescoraves483/S-LDM) 41 | 42 | [11] Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860833/](https://ieeexplore.ieee.org/abstract/document/9860833/) 44 | * Code: [https://github.com/alessiomora/SSTC](https://github.com/alessiomora/SSTC) 45 | 46 | **[12] Traffic-Aware Multi-View Video Stream Adaptation for Teleoperated Driving** 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9860513/](https://ieeexplore.ieee.org/abstract/document/9860513/) 48 | * Code: [https://github.com/hofbi/tamva](https://github.com/hofbi/tamva) 49 | 50 | ## IEEE VTC2022-Fall 51 | [13] A Robust Few-Shot SEI Method Using Class-Reconstruction and Adversarial Training 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012716/](https://ieeexplore.ieee.org/abstract/document/10012716/) 53 | * Code: [https://github.com/LIUC-000/CRCN-AT](https://github.com/LIUC-000/CRCN-AT) 54 | 55 | [14] A Smart Contract based Spectrum Trading System for Elastic Virtual Optical Networks 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012790/](https://ieeexplore.ieee.org/abstract/document/10012790/) 57 | * Code: [https://github.com/Koll-Stone/FSTC](https://github.com/Koll-Stone/FSTC) 58 | 59 | [15] Accurate and Efficient Wi-Fi Fingerprinting-Based Indoor Positioning in Large Areas 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012985/](https://ieeexplore.ieee.org/abstract/document/10012985/) 61 | * Code: [https://github.com/moisesramires/SAS](https://github.com/moisesramires/SAS) 62 | 63 | [16] An Effective Radio Frequency Signal Classification Method Based on Multi-Task Learning Mechanism 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012794/](https://ieeexplore.ieee.org/abstract/document/10012794/) 65 | * Code: [https://github.com/LiuK1288/lhw-000](https://github.com/LiuK1288/lhw-000) 66 | 67 | [17] An Open-Source GNU Radio Framework for LoRa Physical Layer and Collision Resolution 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10013071/](https://ieeexplore.ieee.org/abstract/document/10013071/) 69 | * Code: [https://doi.org/10.5281/zenodo.6421804](https://doi.org/10.5281/zenodo.6421804) 70 | 71 | **[18] Comparison of V2N STUN/TURN Round Trip Time Performance on a Public 5G Network** 72 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012872/](https://ieeexplore.ieee.org/abstract/document/10012872/) 73 | * Code: [https://github.com/Intelligent-Mobile-Device-Lab-at-KSU/5gtoolkit](https://github.com/Intelligent-Mobile-Device-Lab-at-KSU/5gtoolkit) 74 | 75 | [19] Cross-Person Activity Recognition Method Using Snapshot Ensemble Learning 76 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10013044/](https://ieeexplore.ieee.org/abstract/document/10013044/) 77 | * Code: [https://github.com/NJUPT-Sivan/Cross-person-HAR](https://github.com/NJUPT-Sivan/Cross-person-HAR) 78 | 79 | **[20] Crowdsourcing and monetization as a strategy to reduce vehicular greenhouse gases emissions** 80 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10013068/](https://ieeexplore.ieee.org/abstract/document/10013068/) 81 | * Code: [https://github.com/malkai/Paper-IEEE-VTC-2022-F](https://github.com/malkai/Paper-IEEE-VTC-2022-F) 82 | 83 | **[21] Enhancing the Safety of Vulnerable Road Users: Messaging Protocols for V2X Communication** 84 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012775/](https://ieeexplore.ieee.org/abstract/document/10012775/) 85 | * Code: [https://github.com/silaslobo/artery-VRU](https://github.com/silaslobo/artery-VRU) 86 | 87 | [22] Identification of Distorted RF Components via Deep Multi-Task Learning 88 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012986/](https://ieeexplore.ieee.org/abstract/document/10012986/) 89 | * Code: [https://github.com/mehmetaaygul/Hardware-Problem-Identification](https://github.com/mehmetaaygul/Hardware-Problem-Identification) 90 | 91 | [23] The Nearest Is Not The Fastest : On The Importance Of Selecting In/Out Routing Hops Over A Satellite LEO Constellation 92 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012796/](https://ieeexplore.ieee.org/abstract/document/10012796/) 93 | * Code: [https://github.com/abx13/Hypatia](https://github.com/abx13/Hypatia) 94 | 95 | [24] TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning 96 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012730/](https://ieeexplore.ieee.org/abstract/document/10012730/) 97 | * Code: [https://github.com/lethanh-96/tinyqmix-mtc](https://github.com/lethanh-96/tinyqmix-mtc) 98 | 99 | **[25] Toward a Multi-Layer Intrusion Response System for Connected Vehicles** 100 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012711/](https://ieeexplore.ieee.org/abstract/document/10012711/) 101 | * Code: [https://github.com/tum-esi/IRS](https://github.com/tum-esi/IRS) 102 | 103 | [26] Underwater Optical Communication Module: An Extension to the ns-3 Network Simulator 104 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10012885/](https://ieeexplore.ieee.org/abstract/document/10012885/) 105 | * Code: [https://github.com/RabiaTuni/UOC-module-for-ns-3.git](https://github.com/RabiaTuni/UOC-module-for-ns-3.git) -------------------------------------------------------------------------------- /Conference_paper/VTC_Paper_with_code/VTC2023_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## IEEE VTC2023-Spring 2 | [1] A comprehensive dataset of RIS-based channel measurements in the 5GHz band 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200973](https://ieeexplore.ieee.org/abstract/document/10200973) 4 | * Code: [https://github.com/RUB-DCS/RIS-S21-Measurement-Dataset](https://github.com/RUB-DCS/RIS-S21-Measurement-Dataset) 5 | 6 | **[2] AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving** 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199425](https://ieeexplore.ieee.org/abstract/document/10199425) 8 | * Code: [https://github.com/tlab-wide/AutowareV2X](https://github.com/tlab-wide/AutowareV2X) 9 | 10 | [3] Capacity achieving quantizer design for multiple-input multiple-output thresholding channels 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200960](https://ieeexplore.ieee.org/abstract/document/10200960) 12 | * Code: [https://github.com/anvuongb/quantization_codes_anon](https://github.com/anvuongb/quantization_codes_anon) 13 | 14 | **[4] Edge-V : Enabling Vehicular Edge Intelligence in Unlicensed Spectrum Bands** 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199660](https://ieeexplore.ieee.org/abstract/document/10199660) 16 | * Code: [https://github.com/francescoraves483/EnhancedCAMs-asn1](https://github.com/francescoraves483/EnhancedCAMs-asn1) 17 | * Code: [https://github.com/francescoraves483/OCABS-project](https://github.com/francescoraves483/OCABS-project) 18 | * Code: [https://github.com/francescoraves483/AIM-AutomotiveIntegratedMap](https://github.com/francescoraves483/AIM-AutomotiveIntegratedMap) 19 | * Code: [https://github.com/francescoraves483/LTNT](https://github.com/francescoraves483/LTNT) 20 | 21 | [5] Energy and SNR-Aware Robotic Swarm Coordination for Aquatic Cleaning Operations 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200327](https://ieeexplore.ieee.org/abstract/document/10200327) 23 | * Code: [https://github.com/medusamedusa/RoboWood](https://github.com/medusamedusa/RoboWood) 24 | 25 | [6] Energy-aware Theft Detection based on IoT Energy Consumption Data 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200352](https://ieeexplore.ieee.org/abstract/document/10200352) 27 | * Code: [https://github.com/zunairanadeem/EnergyAwareTheftDetection](https://github.com/zunairanadeem/EnergyAwareTheftDetection) 28 | 29 | [7] Federated Learning-based Architecture for Detecting Position Spoofing in Basic Safety Messages 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199980](https://ieeexplore.ieee.org/abstract/document/10199980) 31 | * Code: [https://github.com/c2dc/fl-bsm-vtc2023](https://github.com/c2dc/fl-bsm-vtc2023) 32 | 33 | [8] Flying Intelligent Surfaces: Joint Adjustment of Position and Configuration for UAV-Mounted RIS 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200263](https://ieeexplore.ieee.org/abstract/document/10200263) 35 | * Code: [https://github.com/dogmaphobic/mavesp8266](https://github.com/dogmaphobic/mavesp8266) 36 | 37 | [9] Forecasting YouTube QoE over SATCOM 38 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200133](https://ieeexplore.ieee.org/abstract/document/10200133) 39 | * Code: [https://github.com/viveris/satcom-qoe-dataset](https://github.com/viveris/satcom-qoe-dataset) 40 | 41 | [10] Joint use of Self and Successive Interference Cancellation in V2X Sidelink with Autonomous Resource Allocation 42 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199403](https://ieeexplore.ieee.org/abstract/document/10199403) 43 | * Code: [https://github.com/V2Xgithub/WiLabV2Xsim](https://github.com/V2Xgithub/WiLabV2Xsim) 44 | 45 | [11] Learning Cellular Coverage from Real Network Configurations using GNNs 46 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199469](https://ieeexplore.ieee.org/abstract/document/10199469) 47 | * Code: [https://github.com/bluelancer/GNN4NDOSuppliment](https://github.com/bluelancer/GNN4NDOSuppliment) 48 | 49 | **[12] Multiple Cars Remote Monitoring System using AI-based Video Streaming and Alert** 50 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200972](https://ieeexplore.ieee.org/abstract/document/10200972) 51 | * Code: [https://github.com/Tianxiaomo/pytorch-YOLOv4](https://github.com/Tianxiaomo/pytorch-YOLOv4) 52 | * Code: [https://github.com/cfzd/Ultra-Fast-Lane-Detection](https://github.com/cfzd/Ultra-Fast-Lane-Detection) 53 | * Code: [https://github.com/ErenBalatkan/Bts-PyTorch](https://github.com/ErenBalatkan/Bts-PyTorch) 54 | 55 | [13] NASEI: Neural Architecture Search-Based Specific Emitter Identification Method 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199409](https://ieeexplore.ieee.org/abstract/document/10199409) 57 | * Code: [https://github.com/huangyuxuan11/NASEI.git](https://github.com/huangyuxuan11/NASEI.git) 58 | 59 | [14] Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200520](https://ieeexplore.ieee.org/abstract/document/10200520) 61 | * Code: [https://github.com/mengfanwu96/StepFedSim](https://github.com/mengfanwu96/StepFedSim) 62 | 63 | **[15] Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles** 64 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10200555](https://ieeexplore.ieee.org/abstract/document/10200555) 65 | * Code: [https://github.com/tum-esi/simutack](https://github.com/tum-esi/simutack) 66 | 67 | [16] Towards Improving Realism of Perception in Artery 68 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10199630](https://ieeexplore.ieee.org/abstract/document/10199630) 69 | * Code: [https://github.com/ibr-cm/artery/tree/synthetic-sensors](https://github.com/ibr-cm/artery/tree/synthetic-sensors) 70 | * Code: [https://github.com/riebl/artery](https://github.com/riebl/artery) 71 | 72 | [17] Using UAVs for the fast detection and characterization of polluted areas 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10201093](https://ieeexplore.ieee.org/abstract/document/10201093) 74 | * Code: [https://github.com/GRCDEV/ArduSim](https://github.com/GRCDEV/ArduSim) 75 | 76 | ## IEEE VTC2023-Fall 77 | [18] 5GTQ: QoS-Aware 5G-TSN Simulation Framework 78 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333533](https://ieeexplore.ieee.org/abstract/document/10333533) 79 | * Code: [https://github.com/tum-esi/5GTQ](https://github.com/tum-esi/5GTQ) 80 | 81 | [19] A proposal for a remote vehicle control emulator coordinated with CARLA, OMNeT++, and SUMO 82 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333658](https://ieeexplore.ieee.org/abstract/document/10333658) 83 | * Code: [https://github.com/umlaeute/v4l2loopback](https://github.com/umlaeute/v4l2loopback) 84 | 85 | [20] An empirical evaluation of BLE for ITS scenarios 86 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333713](https://ieeexplore.ieee.org/abstract/document/10333713) 87 | * Code: [https://github.com/nicslabdev/micro-vanetza](https://github.com/nicslabdev/micro-vanetza) 88 | * Code: [https://github.com/nicslabdev/ble-its](https://github.com/nicslabdev/ble-its) 89 | 90 | [21] An Open Source Simulation Framework for Moving-Network-Convoy Based Cellular V2X Communication in Intelligent Traffic Systems 91 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333509](https://ieeexplore.ieee.org/abstract/document/10333509) 92 | * Code: [https://github.com/tum-air/ConvoyV2X](https://github.com/tum-air/ConvoyV2X) 93 | 94 | [22] Are VANETs pseudonyms effective? An experimental evaluation of pseudonym tracking in adversarial scenario 95 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333561](https://ieeexplore.ieee.org/abstract/document/10333561) 96 | * Code: [https://github.com/SECloudUNIMORE/ACS](https://github.com/SECloudUNIMORE/ACS) 97 | 98 | [23] AVARS - Alleviating Unexpected Urban Road Traffic Congestion using UAVs 99 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333677](https://ieeexplore.ieee.org/abstract/document/10333677) 100 | * Code: [https://github.com/Guojyjy/AVARS](https://github.com/Guojyjy/AVARS) 101 | 102 | [24] DCDN: Estimating Handover Parameter Adjusting Effect with Causal Inference 103 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333788](https://ieeexplore.ieee.org/abstract/document/10333788) 104 | * Code: [https://github.com/hsmham/DCDN](https://github.com/hsmham/DCDN) 105 | 106 | [25] From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication 107 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333593](https://ieeexplore.ieee.org/abstract/document/10333593) 108 | * Code: [https://github.com/fraunhoferhhi/sidelink-mcs-measurements](https://github.com/fraunhoferhhi/sidelink-mcs-measurements) 109 | 110 | [26] On Adaptive Client/Miner Selection for Efficient Blockchain-Based Decentralized Federated Learning 111 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333630](https://ieeexplore.ieee.org/abstract/document/10333630) 112 | * Code: [https://github.com/zalandoresearch/fashion-mnist](https://github.com/zalandoresearch/fashion-mnist) 113 | 114 | [27] Secure and Dynamic Publish/Subscribe: LCMsec 115 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333516](https://ieeexplore.ieee.org/abstract/document/10333516) 116 | * Code: [https://github.com/Barkhausen-Institut/lcm-sec](https://github.com/Barkhausen-Institut/lcm-sec) 117 | 118 | [28] SensingBay: an Affordable Roadside Sensing System for Student Vehicle Competitions 119 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333538](https://ieeexplore.ieee.org/abstract/document/10333538) 120 | * Code: [https://github.com/andyblarblar/timebay](https://github.com/andyblarblar/timebay) 121 | 122 | [29] Task-Oriented Semantic Communications for Speech Transmission 123 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10333632](https://ieeexplore.ieee.org/abstract/document/10333632) 124 | * Code: [https://github.com/Zhenzi-Weng/TOS-ST/tree/main/MT_datasets](https://github.com/Zhenzi-Weng/TOS-ST/tree/main/MT_datasets) 125 | 126 | 127 | 128 | 129 | 130 | -------------------------------------------------------------------------------- /Conference_paper/VTC_Paper_with_code/VTC2024_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | ## IEEE VTC2024-Spring 2 | [1] Automated Record Keeping for Statewide Winter Road Maintenance Using Telematics Tracks 3 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683171](https://ieeexplore.ieee.org/abstract/document/10683171) 4 | * Code: [https://github.com/YaguangZhang/IndotActivityMatlabWorkspace](https://github.com/YaguangZhang/IndotActivityMatlabWorkspace) 5 | 6 | [2] Generative AI-Enabled Sensing and Communication Integration for Urban Air Mobility 7 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683276](https://ieeexplore.ieee.org/abstract/document/10683276) 8 | * Code: [https://github.com/shazifan/UAM-Digital-Platform](https://github.com/shazifan/UAM-Digital-Platform) 9 | 10 | [3] Implementation of NavIC Ll Transmitter and Receiver 11 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683652](https://ieeexplore.ieee.org/abstract/document/10683652) 12 | * Code: [https://github.com/satheeshsimha/navic-1/tree/main/L1/codes/e2e_sim](https://github.com/satheeshsimha/navic-1/tree/main/L1/codes/e2e_sim) 13 | 14 | [4] Odometry-Aided mmWave Communications Using Overparameterized Beamforming Optimization 15 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683075](https://ieeexplore.ieee.org/abstract/document/10683075) 16 | * Code: [https://github.com/garyleecf/odometrybeamforming](https://github.com/garyleecf/odometrybeamforming) 17 | 18 | [5] Performance Evaluation of 5G Standalone Seamless Home Routed Roaming for Connected Mobility in Cross-Border Scenarios 19 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683417](https://ieeexplore.ieee.org/abstract/document/10683417) 20 | * Code: [https://github.com/linux-mobile-broadband/libqmi](https://github.com/linux-mobile-broadband/libqmi) 21 | 22 | [6] Privacy Preserving Energy-Aware Federated Learning Based Method for Energy Theft Detection 23 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10683148](https://ieeexplore.ieee.org/abstract/document/10683148) 24 | * Code: [https://github.com/xierongpytorch/FedDetect/blob/main/FedDetect.py](https://github.com/xierongpytorch/FedDetect/blob/main/FedDetect.py) 25 | 26 | ## IEEE VTC2024-Fall 27 | -------------------------------------------------------------------------------- /Conference_paper/WCNC_Paper_with_code/WCNC2020_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Real-Time Vendor-Neutral Programmable Scheduler Architecture for Cellular Networks 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9120582](https://ieeexplore.ieee.org/abstract/document/9120582) 3 | * Code: [https://github.com/harryzwh/ops_project](https://github.com/harryzwh/ops_project) 4 | 5 | [2] A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9120681](https://ieeexplore.ieee.org/abstract/document/9120681) 7 | * Code: [https://github.com/BenSliwa/MTCApp](https://github.com/BenSliwa/MTCApp) 8 | 9 | [3] DeepCReg: Improving Cellular-based Outdoor Localization using CNN-based Regressors 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9120714](https://ieeexplore.ieee.org/abstract/document/9120714) 11 | * Code: [https://github.com/kelawaad/DeepCReg](https://github.com/kelawaad/DeepCReg) 12 | 13 | [4] Robust Self-Protection Against Application-Layer (D)DoS Attacks in SDN Environment 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9120472](https://ieeexplore.ieee.org/abstract/document/9120472) 15 | * Code: [https://github.com/grafov/hulk](https://github.com/grafov/hulk) 16 | * Code: [https://github.com/gkbrk/slowloris](https://github.com/gkbrk/slowloris) 17 | * Code: [https://github.com/tensorflow/cleverhans](https://github.com/tensorflow/cleverhans) 18 | 19 | [5] SourceShift: Resilient Routing in Highly Dynamic Wireless Mesh Networks 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9120818](https://ieeexplore.ieee.org/abstract/document/9120818) 21 | * Code: [https://github.com/Spinnefarn/SourceShift](https://github.com/Spinnefarn/SourceShift) -------------------------------------------------------------------------------- /Conference_paper/WCNC_Paper_with_code/WCNC2021_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] ChainsFL: Blockchain-driven Federated Learning from Design to Realization 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417299](https://ieeexplore.ieee.org/abstract/document/9417299) 3 | * Code: [https://github.com/shuoyuan/ChainsFL-implementation](https://github.com/shuoyuan/ChainsFL-implementation) 4 | 5 | [2] Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417575](https://ieeexplore.ieee.org/abstract/document/9417575) 7 | * Code: [https://github.com/wwydmanski/RLinWiFi](https://github.com/wwydmanski/RLinWiFi) 8 | 9 | [3] Cost optimized multipath scheduling in 5G for Video-on-Demand traffic 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417415](https://ieeexplore.ieee.org/abstract/document/9417415) 11 | * Code: [https://github.com/video-dev/hls.js/](https://github.com/video-dev/hls.js/) 12 | 13 | [4] Experimental Evaluation of Orchestration Software for Virtual Network Functions 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417494](https://ieeexplore.ieee.org/abstract/document/9417494) 15 | * Code: [https://github.com/hashicorp/nomad/](https://github.com/hashicorp/nomad/) 16 | * Code: [https://github.com/openstack/zun/](https://github.com/openstack/zun/) 17 | * Code: [https://github.com/openstack/kuryr-libnetwork/](https://github.com/openstack/kuryr-libnetwork/) 18 | * Code: [https://github.com/eclipse-fog05/fog05/](https://github.com/eclipse-fog05/fog05/) 19 | * Code: [https://github.com/eclipse-fog05/plugin-fdu-lxd](https://github.com/eclipse-fog05/plugin-fdu-lxd) 20 | * Code: [https://github.com/eclipse-fog05/plugin-net-linuxbridge](https://github.com/eclipse-fog05/plugin-net-linuxbridge) 21 | * Code: [https://github.com/eclipse-fog05/plugin-os-linux](https://github.com/eclipse-fog05/plugin-os-linux) 22 | * Code: [https://gitlab.eurecom.fr/mosaic5g/jox](https://gitlab.eurecom.fr/mosaic5g/jox) 23 | 24 | [5] GymD2D: A Device-to-Device Underlay Cellular Offload Evaluation Platform 25 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417288](https://ieeexplore.ieee.org/abstract/document/9417288) 26 | * Code: [https://github.com/davidcotton/gym-d2d](https://github.com/davidcotton/gym-d2d) 27 | 28 | [6] LatSeq: A Low-Impact Internal Latency Measurement Tool for OpenAirInterface 29 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417345](https://ieeexplore.ieee.org/abstract/document/9417345) 30 | * Code: [https://github.com/Orange-OpenSource/LatSeq](https://github.com/Orange-OpenSource/LatSeq) 31 | 32 | [7] MonFi: A Tool for High-Rate, Efficient, and Programmable Monitoring of WiFi Devices 33 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9417329](https://ieeexplore.ieee.org/abstract/document/9417329) 34 | * Code: [https://github.com/SIOTLAB/MonFi](https://github.com/SIOTLAB/MonFi) 35 | -------------------------------------------------------------------------------- /Conference_paper/WCNC_Paper_with_code/WCNC2022_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771590](https://ieeexplore.ieee.org/abstract/document/9771590) 3 | * Code: [https://github.com/signetlabdei/ns3-ran-ai](https://github.com/signetlabdei/ns3-ran-ai) 4 | 5 | [2] Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771679](https://ieeexplore.ieee.org/abstract/document/9771679) 7 | * Code: [https://github.com/Steffengra/resourceallocation/tree/master/scheduling](https://github.com/Steffengra/resourceallocation/tree/master/scheduling) 8 | 9 | [3] Deep RF Device Fingerprinting by Semi-Supervised Learning with Meta Pseudo Time-Frequency Labels 10 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771750](https://ieeexplore.ieee.org/abstract/document/9771750) 11 | * Code: [https://github.com/ZhanyiRen/LTE-Datasets.git](https://github.com/ZhanyiRen/LTE-Datasets.git) 12 | 13 | [4] DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771981](https://ieeexplore.ieee.org/abstract/document/9771981) 15 | * Code: [https://github.com/melgeis/DRaGon](https://github.com/melgeis/DRaGon) 16 | 17 | [5] Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771859](https://ieeexplore.ieee.org/abstract/document/9771859) 19 | * Code: [https://github.com/tlmat-unican/queuing-leo](https://github.com/tlmat-unican/queuing-leo) 20 | 21 | [6] Improving The Minstrel Rate Adaptation Algorithm using Shallow Neural Networks in IEEE 802.11ah 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771795](https://ieeexplore.ieee.org/abstract/document/9771795) 23 | * Code: [https://github.com/BIGBVO/NS3-Minstrel-SNN](https://github.com/BIGBVO/NS3-Minstrel-SNN) 24 | 25 | [7] Long-Lasting UAV-aided RIS Communications based on SWIPT 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771999](https://ieeexplore.ieee.org/abstract/document/9771999) 27 | * Code: [https://github.com/Haoran-Peng/UAV-RIS_EH_DDPG](https://github.com/Haoran-Peng/UAV-RIS_EH_DDPG) 28 | 29 | [8] Neighbor Discovery in a LoRa Assisted Multi-Transceiver Free-Space-Optical Network 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771638](https://ieeexplore.ieee.org/abstract/document/9771638) 31 | * Code: [https://github.com/wsl-miami/nd-simulation](https://github.com/wsl-miami/nd-simulation) 32 | * Code: [https://github.com/wsl-miami/nd-system](https://github.com/wsl-miami/nd-system) 33 | 34 | [9] On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network 35 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771605](https://ieeexplore.ieee.org/abstract/document/9771605) 36 | * Code: [https://github.com/nessry/ON-OFF-DRL](https://github.com/nessry/ON-OFF-DRL) 37 | 38 | [10] OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN 39 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771908](https://ieeexplore.ieee.org/abstract/document/9771908) 40 | * Code: [https://openrangym.com/](https://openrangym.com/) 41 | 42 | [11] Performance Comparison of IEEE 802.11p, 802.11bd-draft and a Unique-Word-based PHY in Doubly-Dispersive Channels 43 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771810](https://ieeexplore.ieee.org/abstract/document/9771810) 44 | * Code: [https://github.com/shahab-ehsanfar/Channel-Estimation-UW-802-11p-11bd](https://github.com/shahab-ehsanfar/Channel-Estimation-UW-802-11p-11bd) 45 | 46 | [12] Score-Based Generative Models for Robust Channel Estimation 47 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771907](https://ieeexplore.ieee.org/abstract/document/9771907) 48 | * Code: [https://github.com/utcsilab/score-based-channels](https://github.com/utcsilab/score-based-channels) 49 | 50 | [13] Tools, Models and Dataset for IEEE 802.11ay CSI-based Sensing 51 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771569/](https://ieeexplore.ieee.org/abstract/document/9771569/) 52 | * Code: [https://github.com/wigig-tools](https://github.com/wigig-tools) 53 | * Data: [https://github.com/usnistgov/PS-002-WALDO](https://github.com/usnistgov/PS-002-WALDO) 54 | 55 | [14] Using a Drone Sounder to Measure Channels for Cell-Free Massive MIMO Systems 56 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771649](https://ieeexplore.ieee.org/abstract/document/9771649) 57 | * Code: [https://github.com/tomathchoi/drone_CF-mMIMO](https://github.com/tomathchoi/drone_CF-mMIMO) 58 | 59 | [15] Wideband and Entropy-Aware Deep Soft Bit Quantization 60 | * Paper: [https://ieeexplore.ieee.org/abstract/document/9771779/](https://ieeexplore.ieee.org/abstract/document/9771779/) 61 | * Code: [https://github.com/utcsilab/wideband-llr-deep](https://github.com/utcsilab/wideband-llr-deep) -------------------------------------------------------------------------------- /Conference_paper/WCNC_Paper_with_code/WCNC2023_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | # 目录 2 | 3 | [1] A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks 4 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118601/](https://ieeexplore.ieee.org/abstract/document/10118601/) 5 | * Code: [https://github.com/news-vt](https://github.com/news-vt) 6 | 7 | [2] A Multi-Scale Feature Selection Framework for WiFi Access Points Line-of-sight Identification 8 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118876/](https://ieeexplore.ieee.org/abstract/document/10118876/) 9 | * Code: [https://github.com/Fx386483710/WiFi-RTT-RSS-dataset](https://github.com/Fx386483710/WiFi-RTT-RSS-dataset) 10 | 11 | [3] An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling 12 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118770/](https://ieeexplore.ieee.org/abstract/document/10118770/) 13 | * Code: [https://github.com/DRAMCO/LoRaMultiHop](https://github.com/DRAMCO/LoRaMultiHop) 14 | 15 | [4] AQM-based Buffer Delay Guarantee for Congestion Control in 5G Networks 16 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118624/](https://ieeexplore.ieee.org/abstract/document/10118624/) 17 | * Code: [https://github.com/ChangWu98/AQM-BDG-in-NS3](https://github.com/ChangWu98/AQM-BDG-in-NS3) 18 | 19 | [5] Clock and Orientation-Robust Simultaneous Radio Localization and Mapping at Millimeter Wave Bands 20 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10119129/](https://ieeexplore.ieee.org/abstract/document/10119129/) 21 | * Code: [https://github.com/gomezcuba/CASTRO-5G](https://github.com/gomezcuba/CASTRO-5G) 22 | 23 | [6] Communication Efficient Federated Learning via Channel-wise Dynamic Pruning 24 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118879/](https://ieeexplore.ieee.org/abstract/document/10118879/) 25 | * Code: [https://github.com/tabo0/FedCDP](https://github.com/tabo0/FedCDP) 26 | 27 | [7] Detecting Linear Block Codes via Deep Learning 28 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118805/](https://ieeexplore.ieee.org/abstract/document/10118805/) 29 | * Code: [https://github.com/kancharlavamshi/CodeDetectionDNN](https://github.com/kancharlavamshi/CodeDetectionDNN) 30 | 31 | [8] Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks 32 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118726/](https://ieeexplore.ieee.org/abstract/document/10118726/) 33 | * Code: [https://github.com/tharaka-perera/flex-net](https://github.com/tharaka-perera/flex-net) 34 | 35 | [9] Group Sparsity via Implicit Regularization for MIMO Channel Estimation 36 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118737/](https://ieeexplore.ieee.org/abstract/document/10118737/) 37 | * Code: [https://github.com/vlaxose/spl18](https://github.com/vlaxose/spl18) 38 | 39 | **[10] Hardware-in-the-Loop Framework for Testing Wireless V2X Communication** 40 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118673/](https://ieeexplore.ieee.org/abstract/document/10118673/) 41 | * Code: [https://project-relevance.org/wili-open-dataset/](https://project-relevance.org/wili-open-dataset/) 42 | 43 | [11] Indoor Performance Evaluation of LoRa® 2.4 GHz 44 | * Paper: [https://ieeexplore.ieee.org/document/10118662](https://ieeexplore.ieee.org/document/10118662) 45 | * Code: [https://doi.org/10.5281/zenodo.7106073](https://doi.org/10.5281/zenodo.7106073) 46 | 47 | [12] Information-Aware Sensing Framework for Long-Lasting IoT Sensors in Greenhouse 48 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118723/](https://ieeexplore.ieee.org/abstract/document/10118723/) 49 | * Code: [https://github.com/sbeacon/Task-aware-Framework-using-Machine-Learning-for-Long-lasting-Green-IoT-Sensing-Devices](https://github.com/sbeacon/Task-aware-Framework-using-Machine-Learning-for-Long-lasting-Green-IoT-Sensing-Devices) 50 | 51 | [13] Machine Learning Analysis of Multi-Radio Access Technology Selection in 5G NSA Network 52 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118884/](https://ieeexplore.ieee.org/abstract/document/10118884/) 53 | * Data: [https://doi.org/10.5281/zenodo.7147965](https://doi.org/10.5281/zenodo.7147965) 54 | * Code:[https://doi.org/10.5281/zenodo.7502749](https://doi.org/10.5281/zenodo.7502749) 55 | 56 | [14] ML-based Traffic Steering for Heterogeneous Ultra-dense beyond-5G Networks 57 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118923/](https://ieeexplore.ieee.org/abstract/document/10118923/) 58 | * Code: [https://dx.doi.org/10.21227/ec7p-xq38](https://dx.doi.org/10.21227/ec7p-xq38) 59 | 60 | [15] Noise-Tolerant Radio Frequency Fingerprinting With Data Augmentation and Contrastive Learning 61 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118833/](https://ieeexplore.ieee.org/abstract/document/10118833/) 62 | * Code: [https://github.com/ZhanyiRen/LTE-Datasets.git](https://github.com/ZhanyiRen/LTE-Datasets.git) 63 | 64 | [16] Outdoor Power Measurements of Wi-Fi Traffic on the University of Colorado Boulder Campus 65 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118955/](https://ieeexplore.ieee.org/abstract/document/10118955/) 66 | * Code: [https://github.com/UCBoulder/rfs-v1](https://github.com/UCBoulder/rfs-v1) 67 | 68 | [17] Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach 69 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118984/](https://ieeexplore.ieee.org/abstract/document/10118984/) 70 | * Code: [https://github.com/danieloaAAU/Power_Control_GNN.git](https://github.com/danieloaAAU/Power_Control_GNN.git) 71 | 72 | [18] Reinforcement Learning Based Coexistence in Mixed 802.11ax and Legacy WLANs 73 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10119114/](https://ieeexplore.ieee.org/abstract/document/10119114/) 74 | * Code: [https://github.com/ffrommel/RLinWiFi](https://github.com/ffrommel/RLinWiFi) 75 | 76 | [19] Self-supervised Multi-Modal Video Forgery Attack Detection 77 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118664/](https://ieeexplore.ieee.org/abstract/document/10118664/) 78 | * Code: [https://github.com/ChuiZhao/Secure-Mask.git](https://github.com/ChuiZhao/Secure-Mask.git) 79 | 80 | [20] SUN: A Simulated UAV Network Testbed with Hardware-in-the-Loop SDR Support 81 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10119014/](https://ieeexplore.ieee.org/abstract/document/10119014/) 82 | * Code: [https://github.com/LOEWE-emergenCITY/sun](https://github.com/LOEWE-emergenCITY/sun) 83 | 84 | **[21] Taking Standardized C-ITS Communication to the next LEVEL - Lightweight and Extensible Vehicle-to-Everything Library** 85 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10118982/](https://ieeexplore.ieee.org/abstract/document/10118982/) 86 | * Code: [https://github.com/klausweinbauer/LEVEL](https://github.com/klausweinbauer/LEVEL) 87 | -------------------------------------------------------------------------------- /Conference_paper/WCNC_Paper_with_code/WCNC2024_Paper_with_code.md: -------------------------------------------------------------------------------- 1 | [1] A Reinforcement Learning Approach to Wi-Fi Rate Adaptation Using the REINFORCE Algorithm 2 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570861](https://ieeexplore.ieee.org/abstract/document/10570861) 3 | * Code: [https://github.com/lofimizumo/80211-reinrate](https://github.com/lofimizumo/80211-reinrate) 4 | 5 | [2] AI-Ready Energy Modelling for Next Generation RAN 6 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571134](https://ieeexplore.ieee.org/abstract/document/10571134) 7 | * Code: [https://github.com/keithbriggs/AIMM-simulator](https://github.com/keithbriggs/AIMM-simulator) 8 | 9 | [3] Deep Reinforcement Learning-Based Adaptive Offloading Algorithm for Wireless Power Transfer-Aided Mobile Edge Computing 10 | * Paper: [https://ieeexplore.ieee.org/document/10570527](https://ieeexplore.ieee.org/document/10570527) 11 | * Code: [https://github.com/Aurora001226/DRLAO](https://github.com/Aurora001226/DRLAO) 12 | 13 | [4] Design and Implementation of Microservice Migration at the Edge 14 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570769](https://ieeexplore.ieee.org/abstract/document/10570769) 15 | * Code: [https://github.com/Mellanox/sockperf](https://github.com/Mellanox/sockperf) 16 | 17 | [5] Edge Learning Optimization in Task-Oriented NOMA Communications for Autonomous Vehicle Perception 18 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570514](https://ieeexplore.ieee.org/abstract/document/10570514) 19 | * Code: [https://github.com/SIAT_INVS/CarlaFLCAV](https://github.com/SIAT_INVS/CarlaFLCAV) 20 | 21 | [6] ICS Deployment Optimization with Time Delay Reduction and Energy-Efficiency in IWSNs 22 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570507](https://ieeexplore.ieee.org/abstract/document/10570507) 23 | * Code: [https://github.com/Muzamil282/HHOfor-time-reduction-in-an-ICS-System](https://github.com/Muzamil282/HHOfor-time-reduction-in-an-ICS-System) 24 | 25 | [7] MetaCrowd: Blockchain-Empowered Metaverse via Decentralized Machine Learning Crowdsourcing 26 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570920](https://ieeexplore.ieee.org/abstract/document/10570920) 27 | * Code: [https://github.com/duyhung2201/MetaCrowd](https://github.com/duyhung2201/MetaCrowd) 28 | 29 | [8] Millimeter Accuracy Indoor Localization System Using an Attention Convolution Model 30 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571081](https://ieeexplore.ieee.org/abstract/document/10571081) 31 | * Code: [https://github.com/Leon-Qiao/COST-INTERACT](https://github.com/Leon-Qiao/COST-INTERACT) 32 | 33 | [9] Optimal Discrete Beamforming of RIS-Aided Wireless Communications: An Inner Product Maximization Approach 34 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571003](https://ieeexplore.ieee.org/abstract/document/10571003) 35 | * Code: [https://github.com/RujingXiong/RIS_Optimization.git](https://github.com/RujingXiong/RIS_Optimization.git) 36 | 37 | [10] Semantic Change Driven Generative Semantic Communication Framework 38 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571010](https://ieeexplore.ieee.org/abstract/document/10571010) 39 | * Code: [https://github.com/wty2011jl/SCDGSC.git](https://github.com/wty2011jl/SCDGSC.git) 40 | 41 | [11] SI-AMC: Integrating DL-Based Scenario Identification into Adaptive Modulation and Coding in Vehicular Communications 42 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571337](https://ieeexplore.ieee.org/abstract/document/10571337) 43 | * Code: [https://github.com/communicationDL1/SI-AMC](https://github.com/communicationDL1/SI-AMC) 44 | 45 | [12] Signaling Priority Reconstruction for Micro-serviced AMF in 6G 46 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571192](https://ieeexplore.ieee.org/abstract/document/10571192) 47 | * Code: [https://github.com/BUPT-ChenSir/XNAP.git](https://github.com/BUPT-ChenSir/XNAP.git) 48 | 49 | [13] Spoofing Attack Detection in the Physical Layer with Robustness to User Movement 50 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10570909](https://ieeexplore.ieee.org/abstract/document/10570909) 51 | * Code: [https://github.com/fachu000/spoofing](https://github.com/fachu000/spoofing) 52 | 53 | [14] Text-Guided Real-World-to-3D Generative Models with Real-Time Rendering on Mobile Devices 54 | * Paper: [https://ieeexplore.ieee.org/abstract/document/10571062](https://ieeexplore.ieee.org/abstract/document/10571062) 55 | * Code: [https://github.com/tuanvu171/MobileGen3D](https://github.com/tuanvu171/MobileGen3D) -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Paper with code for communication and network 2 | 3 | CCF: [Recommended Publications by China Computer Federation](https://www.ccf.org.cn/Academic_Evaluation/By_category/) 4 | 5 | THU: [Important Conference Directory](https://www.sist.tsinghua.edu.cn/__local/0/E3/67/303DEC8D1B54395036E70EECAF6_AD515DFB_5643C0.pdf?e=.pdf) 6 | 7 | BUPT: [Important Conference Directory](https://sice.bupt.edu.cn/kxyj/zyhylb.htm) 8 | 9 | dblp: [Computer science bibliography](https://dblp.org/) 10 | 11 | Conference Partner: [Information about Academic Conferences](https://www.myhuiban.com/) 12 | 13 | WikiCFP: [A Wiki for Calls for Papers](http://www.wikicfp.com/cfp/) 14 | 15 | 16 | | Conference | Rank | 2020 | 2021 | 2022 | 2023 | 2024 | ... | 17 | | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | 18 | | INFOCOM | CCF A | [INFOCOM-2020](./Conference_paper/INFOCOM_Paper_with_code/INFOCOM2020_Paper_with_code.md) | [INFOCOM-2021](./Conference_paper/INFOCOM_Paper_with_code/INFOCOM2021_Paper_with_code.md) | [INFOCOM-2022](./Conference_paper/INFOCOM_Paper_with_code/INFOCOM2022_Paper_with_code.md) | [INFOCOM-2023](./Conference_paper/INFOCOM_Paper_with_code/INFOCOM2023_Paper_with_code.md) | [INFOCOM-2024](./Conference_paper/INFOCOM_Paper_with_code/INFOCOM2024_Paper_with_code.md) | ... | 19 | | ICC | CCF B | [ICC-2020](./Conference_paper/ICC_Paper_with_code/ICC2020_Paper_with_code.md) | [ICC-2021](./Conference_paper/ICC_Paper_with_code/ICC2021_Paper_with_code.md) | [ICC-2022](./Conference_paper/ICC_Paper_with_code/ICC2022_Paper_with_code.md) | [ICC-2023](./Conference_paper/ICC_Paper_with_code/ICC2023_Paper_with_code.md) | [ICC-2024](./Conference_paper/ICC_Paper_with_code/ICC2024_Paper_with_code.md) | ... | 20 | | GLOBECOM | CCF C | [GLOBECOM-2020](./Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2020_Paper_with_code.md) | [GLOBECOM-2021](./Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2021_Paper_with_code.md) | [GLOBECOM-2022](./Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2022_Paper_with_code.md)| [GLOBECOM-2023](./Conference_paper/GLOBECOM_Paper_with_code/GLOBECOM2023_Paper_with_code.md) | GLOBECOM-2024 | ... | 21 | | WCNC | CCF C | [WCNC-2020](./Conference_paper/WCNC_Paper_with_code/WCNC2020_Paper_with_code.md) | [WCNC-2021](./Conference_paper/WCNC_Paper_with_code/WCNC2021_Paper_with_code.md) | [WCNC-2022](./Conference_paper/WCNC_Paper_with_code/WCNC2022_Paper_with_code.md) | [WCNC-2023](./Conference_paper/WCNC_Paper_with_code/WCNC2023_Paper_with_code.md) | [WCNC-2024](./Conference_paper/WCNC_Paper_with_code/WCNC2024_Paper_with_code.md) | ... | 22 | | VTC | - | [VTC-2020](./Conference_paper/VTC_Paper_with_code/VTC2020_Paper_with_code.md) | [VTC-2021](./Conference_paper/VTC_Paper_with_code/VTC2021_Paper_with_code.md) | [VTC-2022](./Conference_paper/VTC_Paper_with_code/VTC2022_Paper_with_code.md) | [VTC-2023](./Conference_paper/VTC_Paper_with_code/VTC2023_Paper_with_code.md) | [VTC-2024](./Conference_paper/VTC_Paper_with_code/VTC2024_Paper_with_code.md) | ... | 23 | | MSN | - | [MSN-2020](./Conference_paper/MSN_Paper_with_code/MSN2020_Paper_with_code.md) | [MSN-2021](./Conference_paper/MSN_Paper_with_code/MSN2021_Paper_with_code.md) | [MSN-2022](./Conference_paper/MSN_Paper_with_code/MSN2022_Paper_with_code.md) | MSN-2023 | MSN-2024 | ... | 24 | | ITSC | - | [ITSC-2020](./Conference_paper/ITSC_Paper_with_code/ITSC2020_Paper_with_code.md) | [ITSC-2021](./Conference_paper/ITSC_Paper_with_code/ITSC2021_Paper_with_code.md) | [ITSC-2022](./Conference_paper/ITSC_Paper_with_code/ITSC2022_Paper_with_code.md) | [ITSC-2023](./Conference_paper/ITSC_Paper_with_code/ITSC2023_Paper_with_code.md) | ITSC-2024 | ... | 25 | | IV| - | [IV-2020](./Conference_paper/IV_Paper_with_code/IV2020_Paper_with_code.md) | [IV-2021](./Conference_paper/IV_Paper_with_code/IV2021_Paper_with_code.md) | [IV-2022](./Conference_paper/IV_Paper_with_code/IV2022_Paper_with_code.md) | [IV-2023](./Conference_paper/IV_Paper_with_code/IV2023_Paper_with_code.md) | [IV-2024](./Conference_paper/IV_Paper_with_code/IV2024_Paper_with_code.md) | ... | 26 | 27 | ### Conference Deadlines: 28 | [CCF Rec. Conference Deadlines](https://ccfddl.github.io/) 29 | [AI Conference Deadlines](https://aideadlin.es/?sub=ML,NLP,DM,KR,CV,CG,RO,SP,AP,HCI) 30 | ## Others 31 | - [Paper-with-Code-of-Wireless-communication-Based-on-DL](https://github.com/ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL) 32 | - [RIS-Codes-Collection](https://github.com/ken0225/RIS-Codes-Collection) 33 | - [Must-Reading Papers on Integrated Sensing and Communications (ISAC)](https://github.com/yuanhao-cui/Must-Reading-on-ISAC) 34 | - [CVPR(2019-2023)-Papers-with-Code](https://github.com/amusi/CVPR2023-Papers-with-Code) 35 | - [ICCV(2021、2023)-Papers-with-Code](https://github.com/amusi/ICCV2023-Papers-with-Code) 36 | - [ECCV2022-Papers-with-Code](https://github.com/amusi/ECCV2022-Papers-with-Code) 37 | - [ICCV-2023-Papers](https://github.com/DmitryRyumin/ICCV-2023-Papers) 38 | - [Awesome Federated Machine Learning](https://github.com/innovation-cat/Awesome-Federated-Machine-Learning) 39 | - [Federated Learning Resources](https://youngfish42.github.io/Awesome-FL/) 40 | 41 | # Researcher/Group Profiling 42 | - [Researcher/Group Profiling in IoV / Intelligent Connected Vehicles / Autonomous Driving / Intelligent Transportation Field.](./researcher_group_profiles.md) -------------------------------------------------------------------------------- /images/roadmap.png.webp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xuezhenggdut/Paper_with_code_for_communication_and_network/47fef968bbbaf06b9a6007a6de49137e832cfe8d/images/roadmap.png.webp --------------------------------------------------------------------------------