├── resume.cls ├── CV.tex ├── Personal CV Chinese ver.tex └── Personal CV English ver.tex /resume.cls: -------------------------------------------------------------------------------- 1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 2 | % Medium Length Professional CV - RESUME CLASS FILE 3 | % 4 | % This template has been downloaded from: 5 | % http://www.LaTeXTemplates.com 6 | % 7 | % This class file defines the structure and design of the template. 8 | % 9 | % Original header: 10 | % Copyright (C) 2010 by Trey Hunner 11 | % 12 | % Copying and distribution of this file, with or without modification, 13 | % are permitted in any medium without royalty provided the copyright 14 | % notice and this notice are preserved. This file is offered as-is, 15 | % without any warranty. 16 | % 17 | % Created by Trey Hunner and modified by www.LaTeXTemplates.com 18 | % 19 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 20 | 21 | \ProvidesClass{resume}[2010/07/10 v0.9 Resume class] 22 | 23 | \LoadClass[11pt,letterpaper]{article} % Font size and paper type 24 | 25 | \usepackage[parfill]{parskip} % Remove paragraph indentation 26 | \usepackage{array} % Required for boldface (\bf and \bfseries) tabular columns 27 | \usepackage{ifthen} % Required for ifthenelse statements 28 | \usepackage{verbatim} 29 | \usepackage[dvipsnames]{xcolor} 30 | \definecolor{myblue1}{RGB}{0, 0, 96} 31 | \usepackage[colorlinks=true, 32 | linkcolor=blue, 33 | urlcolor=myblue1, 34 | filecolor=blue, 35 | anchorcolor=blue, 36 | citecolor=blue]{hyperref} 37 | 38 | \pagestyle{empty} % Suppress page numbers 39 | 40 | %---------------------------------------------------------------------------------------- 41 | % HEADINGS COMMANDS: Commands for printing name and address 42 | %---------------------------------------------------------------------------------------- 43 | 44 | \def \name#1{\def\@name{#1}} % Defines the \name command to set name 45 | \def \@name {} % Sets \@name to empty by default 46 | 47 | \def \addressSep {$\diamond$} % Set default address separator to a diamond 48 | 49 | % One, two or three address lines can be specified 50 | \let \@addressone \relax 51 | \let \@addresstwo \relax 52 | \let \@addressthree \relax 53 | 54 | % \address command can be used to set the first, second, and third address (last 2 optional) 55 | \def \address #1{ 56 | \@ifundefined{@addresstwo}{ 57 | \def \@addresstwo {#1} 58 | }{ 59 | \@ifundefined{@addressthree}{ 60 | \def \@addressthree {#1} 61 | }{ 62 | \def \@addressone {#1} 63 | }} 64 | } 65 | 66 | % \printaddress is used to style an address line (given as input) 67 | \def \printaddress #1{ 68 | \begingroup 69 | \def \\ {\addressSep\ } 70 | \centerline{#1} 71 | \endgroup 72 | \par 73 | \addressskip 74 | } 75 | 76 | % \printname is used to print the name as a page header 77 | \def \printname { 78 | \begingroup 79 | \hfil{\MakeUppercase{\namesize\bf \@name}}\hfil 80 | \nameskip\break 81 | \endgroup 82 | } 83 | 84 | %---------------------------------------------------------------------------------------- 85 | % PRINT THE HEADING LINES 86 | %---------------------------------------------------------------------------------------- 87 | 88 | \let\ori@document=\document 89 | \renewcommand{\document}{ 90 | \ori@document % Begin document 91 | \printname % Print the name specified with \name 92 | \@ifundefined{@addressone}{}{ % Print the first address if specified 93 | \printaddress{\@addressone}} 94 | \@ifundefined{@addresstwo}{}{ % Print the second address if specified 95 | \printaddress{\@addresstwo}} 96 | \@ifundefined{@addressthree}{}{ % Print the third address if specified 97 | \printaddress{\@addressthree}} 98 | } 99 | 100 | %---------------------------------------------------------------------------------------- 101 | % SECTION FORMATTING 102 | %---------------------------------------------------------------------------------------- 103 | 104 | % Defines the rSection environment for the large sections within the CV 105 | \newenvironment{rSection}[1]{ % 1 input argument - section name 106 | \sectionskip 107 | \MakeUppercase{\bf #1} % Section title 108 | \sectionlineskip 109 | \hrule % Horizontal line 110 | \begin{list}{}{ % List for each individual item in the section 111 | \setlength{\leftmargin}{1.5em} % Margin within the section 112 | } 113 | \item[] 114 | }{ 115 | \end{list} 116 | } 117 | 118 | %---------------------------------------------------------------------------------------- 119 | % WORK EXPERIENCE FORMATTING 120 | %---------------------------------------------------------------------------------------- 121 | 122 | \newenvironment{rSubsection}[4]{ % 4 input arguments - company name, year(s) employed, job title and location 123 | {\bf #1} \hfill {#2} % Bold company name and date on the right 124 | \ifthenelse{\equal{#3}{}}{}{ % If the third argument is not specified, don't print the job title and location line 125 | \\ 126 | {\em #3} \hfill {\em #4} % Italic job title and location 127 | }\smallskip 128 | \begin{list}{$\cdot$}{\leftmargin=0em} % \cdot used for bullets, no indentation 129 | \itemsep -0.5em \vspace{-0.5em} % Compress items in list together for aesthetics 130 | }{ 131 | \end{list} 132 | \vspace{0.5em} % Some space after the list of bullet points 133 | } 134 | 135 | % The below commands define the whitespace after certain things in the document - they can be \smallskip, \medskip or \bigskip 136 | \def\namesize{\huge} % Size of the name at the top of the document 137 | \def\addressskip{\smallskip} % The space between the two address (or phone/email) lines 138 | \def\sectionlineskip{\medskip} % The space above the horizontal line for each section 139 | \def\nameskip{\bigskip} % The space after your name at the top 140 | \def\sectionskip{\medskip} % The space after the heading section 141 | -------------------------------------------------------------------------------- /CV.tex: -------------------------------------------------------------------------------- 1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 2 | % Medium Length Professional CV 3 | % LaTeX Template 4 | % Version 2.0 (8/5/13) 5 | % 6 | % This template has been downloaded from: 7 | % http://www.LaTeXTemplates.com 8 | % 9 | % Original author: 10 | % Rishi Shah 11 | % 12 | % Important note: 13 | % This template requires the resume.cls file to be in the same directory as the 14 | % .tex file. The resume.cls file provides the resume style used for structuring the 15 | % document. 16 | % 17 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 18 | 19 | %---------------------------------------------------------------------------------------- 20 | % PACKAGES AND OTHER DOCUMENT CONFIGURATIONS 21 | %---------------------------------------------------------------------------------------- 22 | 23 | \documentclass{resume} % Use the custom resume.cls style 24 | 25 | %\usepackage{ulem} 26 | \usepackage{setspace} 27 | \usepackage[left=0.9in,top=0.6in,right=0.9in,bottom=0.7in]{geometry} % Document margins 28 | \newcommand{\tab}[1]{\hspace{.2667\textwidth}\rlap{#1}} 29 | \newcommand{\itab}[1]{\hspace{0em}\rlap{#1}} 30 | \name{ZIYI WU} % Your name 31 | \address{ 32 | % 27 King's College Circle 33 | Toronto, Ontario M5S 1A1 Canada 34 | } % Your address 35 | %\address{123 Pleasant Lane \\ City, State 12345} % Your secondary addess (optional) 36 | \address{ 37 | % (+86) 188 1023 7672 \\ 38 | \href{mailto:ziyiwu@cs.toronto.edu}{ziyiwu@cs.toronto.edu} \\ 39 | % \href{mailto:dazitu616@gmail.com}{dazitu616@gmail.com} \\ 40 | \url{https://wuziyi616.github.io/}} 41 | %https://github.com/Wuziyi616} % Your phone number and email 42 | 43 | \begin{document} 44 | 45 | %---------------------------------------------------------------------------------------- 46 | % EDUCATION SECTION 47 | %---------------------------------------------------------------------------------------- 48 | 49 | \begin{rSection}{Education} 50 | 51 | {\textbf{University of Toronto}}, {Toronto, Canada} \hfill {\em Sept. 2021 -- Present}\\ 52 | \textbf{Ph.D.} in Computer Science\\ 53 | Advisor: Prof. Animesh Garg \& Prof. Andrea Tagliasacchi 54 | 55 | 56 | {\textbf{Tsinghua University}}, {Beijing, P.R.China} \hfill {\em Aug. 2017 -- Jun. 2021}\\ 57 | \textbf{B.Eng.} in Automation\\ 58 | Advisor: Prof. Jiwen Lu 59 | 60 | 61 | \end{rSection} 62 | 63 | 64 | 65 | \begin{rSection}{Publications \& Manuscripts} 66 | 67 | \begin{enumerate} 68 | \item \textbf{Ziyi Wu}$^{*}$, Yueqi Duan$^{*}$, He Wang, Qingnan Fan, Leonidas J. Guibas.\\ 69 | \textbf{IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration}\\ 70 | Submitted to \textit{IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}. 71 | % \href{https://arxiv.org/abs/2010.05272}{[\underline{arXiv}]} 72 | 73 | 74 | \item Ziwei Wang, Yunsong Wang, \textbf{Ziyi Wu}, Jiwen Lu, Jie Zhou.\\ 75 | \textbf{Instance Similarity Learning for Unsupervised Feature Representation}\\ 76 | \textit{IEEE International Conference on Computer Vision (ICCV), 2021}. 77 | 78 | 79 | \item Ziwei Wang, Jiwen Lu, \textbf{Ziyi Wu}, Jie Zhou.\\ 80 | \textbf{Learning Efficient Binarized Object Detectors with Information Compression}\\ 81 | \textit{IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021}. 82 | 83 | 84 | \item Ziwei Wang, \textbf{Ziyi Wu}, Jiwen Lu, Jie Zhou.\\ 85 | \textbf{BiDet: An Efficient Binarized Object Detector}\\ 86 | \textit{IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020}. 87 | %\href{https://arxiv.org/abs/2003.03961}{[\underline{arXiv}]} 88 | 89 | 90 | \item Zimeng Tan, Yongjie Duan, \textbf{Ziyi Wu}, Jianjiang Feng, Jie Zhou.\\ 91 | \textbf{A Cascade Regression Model for Anatomical Landmark Detection}\\ 92 | \textit{Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop, 2019}. 93 | % \href{https://link.springer.com/chapter/10.1007/978-3-030-39074-7_5}{[\underline{Springer}]} 94 | 95 | 96 | \item Zhanwei Xu, \textbf{Ziyi Wu}, Jianjiang Feng.\\ 97 | \textbf{CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation}\\ 98 | \textit{arXiv, 2018} 99 | % \href{https://arxiv.org/abs/1812.04914}{[\underline{arXiv}]} 100 | %\newline 101 | \end{enumerate} 102 | 103 | \end{rSection} 104 | 105 | 106 | 107 | \begin{rSection}{Experience} 108 | 109 | \textbf{SenseTime Ltd.} \hfill {\em Mar. 2021 -- Aug. 2021}\\ 110 | {Research Intern} \hfill {Mentor: Dr. Kai Chen \& Wenwei Zhang}\\ 111 | Open source codebase for 3D scene understanding (\href{https://github.com/open-mmlab/mmdetection3d}{MMDetection3D}) 112 | 113 | 114 | \textbf{Stanford University} \hfill {\em Jun. 2020 -- Sept. 2020}\\ 115 | {Research Intern} \hfill {Supervisor: Prof. Leonidas J. Guibas}\\ 116 | 3D adversarial attack and defense in point cloud 117 | 118 | 119 | \textbf{Tsinghua University} \hfill {\em Apr. 2019 -- May. 2020}\\ 120 | {Undergraduate Researcher} \hfill {Supervisor: Prof. Jiwen Lu}\\ 121 | Efficient design for 2D object detectors 122 | 123 | \end{rSection} 124 | 125 | 126 | 127 | \begin{rSection}{Selected Honors} 128 | 129 | \begin{itemize} 130 | \item Outstanding Graduates (Beijing, Tsinghua University \& Dept. of Automation), 2021 131 | 132 | \item SenseTime Undergraduate Scholarship for AI Research, 2020 133 | 134 | \item Xiaomi Scholarship, Tsinghua University, 2020 135 | 136 | \item Fang Chongzhi Scholarship, Tsinghua University, 2019 137 | 138 | \item National Scholarship, Tsinghua University, 2018 139 | 140 | \item Spark Program Membership, Tsinghua University 141 | 142 | \item Innovation Award of Science and Technology, Tsinghua University, 2018-2020 143 | 144 | \item Champion of the 20th Electronic Design Competition, Tsinghua University, 2018 145 | \end{itemize} 146 | 147 | \end{rSection} 148 | 149 | \end{document} 150 | -------------------------------------------------------------------------------- /Personal CV Chinese ver.tex: -------------------------------------------------------------------------------- 1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 2 | % Medium Length Professional CV 3 | % LaTeX Template 4 | % Version 2.0 (8/5/13) 5 | % 6 | % This template has been downloaded from: 7 | % http://www.LaTeXTemplates.com 8 | % 9 | % Original author: 10 | % Rishi Shah 11 | % 12 | % Important note: 13 | % This template requires the resume.cls file to be in the same directory as the 14 | % .tex file. The resume.cls file provides the resume style used for structuring the 15 | % document. 16 | % 17 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 18 | 19 | %---------------------------------------------------------------------------------------- 20 | % PACKAGES AND OTHER DOCUMENT CONFIGURATIONS 21 | %---------------------------------------------------------------------------------------- 22 | 23 | \documentclass{resume} % Use the custom resume.cls style 24 | 25 | \usepackage[UTF8]{ctex} 26 | \usepackage[left=0.6in,top=0.5in,right=0.6in,bottom=0.5in]{geometry} % Document margins 27 | \newcommand{\tab}[1]{\hspace{.2667\textwidth}\rlap{#1}} 28 | \newcommand{\itab}[1]{\hspace{0em}\rlap{#1}} 29 | \name{吴紫屹} % Your name 30 | \address{紫荆学生公寓二号楼 \\ 清华大学 \\ 中国\ 北京, 100084} % Your address 31 | %\address{123 Pleasant Lane \\ City, State 12345} % Your secondary addess (optional) 32 | \address{(+86) 18810237672 \\ \href{mailto:wuzy17@mails.tsinghua.edu.cn}{wuzy17@mails.tsinghua.edu.cn} \\ %\href{mailto:dazitu616@gmail.com}{dazitu616@gmail.com} \\ 33 | \url{https://wuziyi616.github.io/}} 34 | %https://github.com/Wuziyi616} % Your phone number and email 35 | 36 | \begin{document} 37 | 38 | %---------------------------------------------------------------------------------------- 39 | % EDUCATION SECTION 40 | %---------------------------------------------------------------------------------------- 41 | 42 | \begin{rSection}{教育背景} 43 | 44 | {\textbf{清华大学}, 中国\ 北京} \hfill {\em 2017.8 -- 2021.7 (预计)} 45 | \begin{itemize} 46 | 信息学院\ 自动化系\ \textbf{工程学士学位} (预计) 47 | \item \textbf{GPA: 3.9/4.0, Ranking: 2$^{nd}$/173} 48 | %\item \textbf{本科 } 经管学院 (预计, 第二学位) 49 | %\item 清华大学星火计划\ \textbf{理事} 50 | \end{itemize} 51 | 52 | \textbf{核心课程} 53 | \begin{itemize} 54 | \item \textbf{数学}: 微积分 A (4.0/4.0), 55 | 线性代数 (4.0/4.0), 56 | 复变函数引论 (4.0/4.0), 57 | 概率论与数理统计 (4.0/4.0), 58 | 信号与系统分析 (4.0/4.0), 59 | 数值分析与算法 (4.0/4.0), 60 | 系统工程导论 (4.0/4.0), 61 | 运筹学 (4.0/4.0) 62 | \item \textbf{编程}: 计算机语言与程序设计 (4.0/4.0), 63 | C++ 程序设计 (4.0/4.0), 64 | 数据结构与算法 (4.0/4.0), 65 | 计算机原理与应用 (4.0/4.0), 66 | 计算机网络与应用 (4.0/4.0), 67 | 人工智能基础 (4.0/4.0), 68 | 模式识别与机器学习 (4.0/4.0)\newline 69 | \end{itemize} 70 | 71 | \end{rSection} 72 | 73 | \begin{rSection}{奖学金 \& 荣誉} 74 | 75 | \begin{itemize} 76 | \item \textbf{2020 } \textbf{小米奖学金 } (清华大学本科生中由企业资助的最高奖学金, \textbf{0.1\%}) 77 | \item \textbf{2019 } \textbf{方崇智奖学金 } (清华大学自动化系最高等级荣誉, \textbf{0.1\%}) 78 | \item \textbf{2019 } \textbf{清华大学科技创新奖 } (奖励给清华大学最有科研潜力的本科生, \textbf{0.2\%}) 79 | \item \textbf{2019 } \textbf{星火计划成员 } (清华大学校内学术科研领域最为顶级的学生组织, \textbf{\textless \, 1\%}) 80 | \item \textbf{2018 } \textbf{国家奖学金 } (中国政府授予的最高级别官方奖学金, \textbf{\textless \, 0.1\%}) 81 | \item \textbf{2018 } 第二十届 \textbf{电子设计大赛冠军 } (清华大学校内在\textbf{电子设计}领域的最高级别赛事) 82 | \item \textbf{2017 } 第一届 \textbf{人工智能挑战赛 A2 组第五名 } (清华大学校内在 \textbf{AI} 领域的最高级别赛事)\newline 83 | \end{itemize} 84 | 85 | \end{rSection} 86 | %-------------------------------------------------------------------------------- 87 | % Projects And Seminars 88 | %----------------------------------------------------------------------------------------------- 89 | \begin{rSection}{出版 \& 投稿} 90 | 91 | \begin{enumerate} 92 | \item[1] \textbf{Ziyi Wu}$^{*}$, Yueqi Duan$^{*}$, He Wang, Qingnan Fan, Leonidas J. Guibas. IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration. In submission to \textit{International Conference on Learning Representations (ICLR).} Under review. \href{https://arxiv.org/abs/2010.05272}{arXiv} 93 | \item[2] Ziwei Wang, Jiwen Lu, \textbf{Ziyi Wu}, Jie Zhou. Learning Efficient Binarized Object Detectors with Information Compression. In submission to \textit{IEEE Transactions on Pattern Analysis and Machine Intelligence.} Under revision. 94 | \item[3] Ziwei Wang, \textbf{Ziyi Wu}, Jiwen Lu, Jie Zhou. BiDet: An Efficient Binarized Object Detector. Accepted by \textit{2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).} \href{https://arxiv.org/abs/2003.03961}{arXiv} 95 | \item[4] Zimeng Tan, Yongjie Duan, \textbf{Ziyi Wu}, Jianjiang Feng, Jie Zhou. A Cascade Regression Model for Anatomical Landmark Detection. Accepted by \textit{2019 Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop.} \href{https://link.springer.com/chapter/10.1007/978-3-030-39074-7_5}{Springer} 96 | %\item[4] Zhanwei Xu, \textbf{Ziyi Wu}, Jianjiang Feng. CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation. \href{https://arxiv.org/abs/1812.04914}{arXiv}\newline 97 | \end{enumerate} 98 | 99 | \end{rSection} 100 | 101 | \begin{rSection}{科研兴趣} 102 | 103 | \begin{description} 104 | \item[领域] \quad\quad\, 105 | %Deep Hashing, Binary Representation, Binary Neural Networks, 106 | 高效推断, 107 | %Model Compression, 108 | 3D 视觉, %Point Cloud, 109 | 无监督/自监督学习, 110 | 信息论 111 | %Medical Image Processing 112 | %\item[方法] \quad\quad\, 深度学习, 强化学习, 神经网络, 信息论\newline 113 | \end{description} 114 | 115 | \end{rSection} 116 | 117 | \begin{rSection}{科研经历} 118 | 119 | {\textbf{Stanford University}, CA, U.S.} \hfill {\em May, 2020 -- present}\newline 120 | \emph{\href{https://geometry.stanford.edu/}{Geometric Computing Group}, Department of Computer Science}\newline 121 | Research Assistant, Advisors: Profs. \href{https://geometry.stanford.edu/member/guibas/index.html}{Leonidas Guibas}\newline 122 | \textbf{Project: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration} 123 | \begin{itemize} 124 | \item 通过全面调研，我们将现有点云攻击方法产生的效果分成了两大类，并基于此分析了前人防御方法的不足 125 | \item 提出一种基于精确表面恢复和坐标优化的新颖点云防御方法 126 | \item 在四种典型点云网络结构上取得了对抗全部现有点云攻击方法的最佳防御性能\newline 127 | \end{itemize} 128 | 129 | {\textbf{Tsinghua University}, Beijing, China} \hfill {\em Apr, 2019 -- present}\newline 130 | \emph{\href{http://ivg.au.tsinghua.edu.cn/index.php}{Intelligent Vision Group}, Department of Automation}\newline 131 | Research Assistant, Advisors: Profs. \href{http://ivg.au.tsinghua.edu.cn/Jiwen_Lu/}{Jiwen Lu} \& \href{https://www.tsinghua.edu.cn/publish/auen/1713/2011/20110506105532098625469/20110506105532098625469_.html}{Jie Zhou}\newline 132 | \textbf{Project: BiDet: An Efficient Binarized Object Detector} 133 | \begin{itemize} 134 | \item 首次考虑在目标检测任务中引入二值网络，从而大大降低存储和计算开销 135 | \item 采用信息瓶颈理论来去除学习到特征中的冗余信息，从而充分利用二值网络的表征能力；同时学习稀疏先验，使得检测结果聚集于信息量丰富的区域来减少假阳性 136 | \item 我们提出的方法在多种检测网络、多个数据集上都取得了最佳的性能\newline 137 | \end{itemize} 138 | 139 | \textbf{Project: Learning Efficient Binarized Object Detectors with Information Compression} 140 | \begin{itemize} 141 | \item 作为 BiDet 的期刊扩充版本，我们提出对不同输入样本自动调节信息瓶颈松紧，同时自适应学习稀疏先验，以此来更充分地去除假阳性 142 | \item 在多种检测网络、多个数据集上性能超越 BiDet，达到了新的 SOTA 143 | \item 我们将 AutoBiDet 策略泛化到了其他高效推断方法，如剪枝、量化上，均提升了对应方法的性能，证明了我们方法的普适性\newline 144 | \end{itemize} 145 | 146 | \end{rSection} 147 | %---------------------------------------------------------------------------------------- 148 | % TECHNICAL STRENGTHS SECTION 149 | %---------------------------------------------------------------------------------------- 150 | 151 | \begin{rSection}{编程能力} 152 | 153 | \begin{description} 154 | \item[熟练掌握] \quad\quad Python, PyTorch, C\#, Markdown, \LaTeX 155 | %\item[基本熟悉] \quad\quad Java, MATLAB, SQL, Linux, TensorFlow, Keras, etc 156 | \item[基本了解] \quad\quad Linux, C/C++, TensorFlow, Keras, etc. 157 | \end{description} 158 | 159 | \end{rSection} 160 | 161 | \begin{rSection}{语言能力} 162 | 163 | \begin{description} 164 | \item[TOEFL iBT] \quad 109/120 \quad (Reading 30, Listening 26, Speaking 23, Writing 30) 165 | \item[GRE] \quad\quad\quad\quad\,\,\, 333/340+4.5/6.0 (Verbal 163, Quantitative 170, Analytical Writing 4.5)%\newline 166 | \end{description} 167 | 168 | \end{rSection} 169 | 170 | \end{document} 171 | -------------------------------------------------------------------------------- /Personal CV English ver.tex: -------------------------------------------------------------------------------- 1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 2 | % Medium Length Professional CV 3 | % LaTeX Template 4 | % Version 2.0 (8/5/13) 5 | % 6 | % This template has been downloaded from: 7 | % http://www.LaTeXTemplates.com 8 | % 9 | % Original author: 10 | % Rishi Shah 11 | % 12 | % Important note: 13 | % This template requires the resume.cls file to be in the same directory as the 14 | % .tex file. The resume.cls file provides the resume style used for structuring the 15 | % document. 16 | % 17 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 18 | 19 | %---------------------------------------------------------------------------------------- 20 | % PACKAGES AND OTHER DOCUMENT CONFIGURATIONS 21 | %---------------------------------------------------------------------------------------- 22 | 23 | \documentclass{resume} % Use the custom resume.cls style 24 | 25 | %\usepackage{ulem} 26 | \usepackage{setspace} 27 | \usepackage[left=0.65in,top=0.55in,right=0.65in,bottom=0.65in]{geometry} % Document margins 28 | \newcommand{\tab}[1]{\hspace{.2667\textwidth}\rlap{#1}} 29 | \newcommand{\itab}[1]{\hspace{0em}\rlap{#1}} 30 | \name{ZIYI WU} % Your name 31 | \address{ 32 | %2\# Zijing Student Apartment \\ 33 | Tsinghua University \\ 34 | Beijing, 100084, P.R.China 35 | } % Your address 36 | %\address{123 Pleasant Lane \\ City, State 12345} % Your secondary addess (optional) 37 | \address{ 38 | (+86) 188 1023 7672 \\ 39 | % \href{mailto:wuzy17@mails.tsinghua.edu.cn}{wuzy17@mails.tsinghua.edu.cn} \\ 40 | \href{mailto:dazitu616@gmail.com}{dazitu616@gmail.com} \\ 41 | \url{https://wuziyi616.github.io/}} 42 | %https://github.com/Wuziyi616} % Your phone number and email 43 | 44 | \begin{document} 45 | 46 | %---------------------------------------------------------------------------------------- 47 | % EDUCATION SECTION 48 | %---------------------------------------------------------------------------------------- 49 | 50 | \begin{rSection}{Education} 51 | 52 | {\textbf{Tsinghua University}}, {Beijing, P.R.China} 53 | 54 | \textbf{Bachelor} of Engineering in Automation \hfill {\em Aug, 2017 -- Jul, 2021} 55 | \begin{itemize} 56 | %\item \textbf{Bachelor} of Engineering in the Department of Automation (expected) 57 | \item \textbf{GPA: 3.9/4.0, Ranking: 2$^{nd}$/173} 58 | %\item \textbf{Bachelor} of Management in the School of Economy and Management (expected, second degree) 59 | \item \textbf{Chairman} of Spark Program, Tsinghua University 60 | %\item \textbf{Captain} of the swimming team of the Department of Automation 61 | \end{itemize} 62 | 63 | \textbf{Core Courses} 64 | \begin{spacing}{1.05} 65 | \begin{itemize} 66 | \item \textbf{Mathematics}: Calculus A (4.0/4.0), 67 | Linear Algebra (4.0/4.0), 68 | Introduction to Complex Analysis (4.0/4.0), 69 | Probability and Statistics (4.0/4.0), 70 | %Signals and System Analysis (4.0/4.0), 71 | %Numerical Analysis and Algorithms (4.0/4.0), 72 | %Introduction to Systems Engineering (4.0/4.0), 73 | Operations Research (4.0/4.0) 74 | \item \textbf{CS}: Computer Languages and Programming (4.0/4.0), 75 | C++ Program Design and Training (4.0/4.0), 76 | Data Structure and Algorithms (4.0/4.0), 77 | %Computer Principles and Applications (4.0/4.0), 78 | Computer Network and Applications (4.0/4.0), 79 | Fundamental Artificial Intelligence (4.0/4.0), 80 | Pattern Recognition and Machine Learning (4.0/4.0) 81 | %\end{spacing} 82 | %\newline 83 | \end{itemize} 84 | \end{spacing} 85 | 86 | \end{rSection} 87 | 88 | \vspace{-0.3cm} 89 | 90 | \begin{rSection}{Scholarships \& Awards} 91 | %\begin{spacing}{1.05} 92 | \begin{itemize} 93 | \item \textbf{2020} \textbf{SenseTime Scholarship} (Awarded to only 21 undergraduate AI researchers in P.R.China) 94 | \item \textbf{2020} \textbf{Xiaomi Scholarship} (Highest scholarship in Tsinghua sponsored by Xiaomi Corp., \textbf{0.1\%}) 95 | \item \textbf{2020, 2019} \textbf{Tsinghua Innovation Award of Science and Technology} (\textbf{0.2\%}) 96 | \item \textbf{2019} \textbf{Fang Chongzhi Scholarship} (Highest honor in the Dept. of Automation, \textbf{0.1\%}) 97 | \item \textbf{2019} \textbf{Tsinghua Spark Program Membership} (Top student program in academic research, \textbf{1\%}) 98 | \item \textbf{2018} \textbf{National Scholarship} (Highest scholarship awarded by the Chinese government, \textbf{\textless~0.1\%}) 99 | \item \textbf{2018} \textbf{Champion} in the 20$^{th}$ \textbf{Electronic Design Competition}, Tsinghua University (\textbf{1/120})% (Highest level competition in Tsinghua University in the field of \textbf{Electronic Engineering}) 100 | \item \textbf{2018} \textbf{5$^{th}$ place} in the 1$^{st}$ \textbf{Artificial Intelligence Challenge}, Tsinghua University (\textbf{5/150})% Group A2 (Top level challenge in Tsinghua University in the field of \textbf{AI}) 101 | \newline 102 | \end{itemize} 103 | %\end{spacing} 104 | 105 | \end{rSection} 106 | 107 | \vspace{-0.2cm} 108 | 109 | \begin{rSection}{Publications \& Manuscripts} 110 | 111 | \begin{enumerate} 112 | \item[1] \textbf{Ziyi Wu}$^{*}$, Yueqi Duan$^{*}$, He Wang, Qingnan Fan, Leonidas J. Guibas. IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration. Submitted to \textit{2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}. Under review. \href{https://arxiv.org/abs/2010.05272}{[\underline{arXiv}]} 113 | \item[2] Ziwei Wang, Jiwen Lu, \textbf{Ziyi Wu}, Jie Zhou. Learning Efficient Binarized Object Detectors with Information Compression. Accepted by \textit{IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}. 114 | \item[3] Ziwei Wang, \textbf{Ziyi Wu}, Jiwen Lu, Jie Zhou. BiDet: An Efficient Binarized Object Detector. Accepted by \textit{2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}. \href{https://arxiv.org/abs/2003.03961}{[\underline{arXiv}]} 115 | \item[4] Zimeng Tan, Yongjie Duan, \textbf{Ziyi Wu}, Jianjiang Feng, Jie Zhou. A Cascade Regression Model for Anatomical Landmark Detection. Accepted by \textit{2019 Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop}. \href{https://link.springer.com/chapter/10.1007/978-3-030-39074-7_5}{[\underline{Springer}]} 116 | \item[5] Zhanwei Xu, \textbf{Ziyi Wu}, Jianjiang Feng. CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation. \href{https://arxiv.org/abs/1812.04914}{[\underline{arXiv}]} 117 | %\newline 118 | \end{enumerate} 119 | 120 | \end{rSection} 121 | 122 | %\clearpage 123 | 124 | \begin{rSection}{Research Interest} 125 | 126 | \begin{description} 127 | \item[Fields] \quad\quad\, 128 | %Deep Hashing, Binary Representation, Binary Neural Networks, 129 | %Model Compression, 130 | 3D Vision, 131 | Video Analysis, 132 | %Point Cloud Analysis, 133 | Efficient Inference, 134 | Unsupervised Learning 135 | %Medical Image Processing 136 | \item[Methods] \quad Deep Learning, 137 | Reinforcement Learning, 138 | Neural Networks, 139 | Information Theory 140 | \newline 141 | \end{description} 142 | 143 | \end{rSection} 144 | 145 | \vspace{-0.2cm} 146 | 147 | \begin{rSection}{Research Experience} 148 | 149 | {\textbf{Stanford University}}, {CA, U.S.}\newline 150 | \emph{\href{https://geometry.stanford.edu/}{Geometric Computing Group}, Department of Computer Science} \hfill {\em May, 2020 -- Nov, 2020}\newline 151 | Research Assistant, Advisor: Prof. \href{https://geometry.stanford.edu/member/guibas/index.html}{Leonidas Guibas}\newline 152 | \textbf{Project: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration} 153 | \begin{itemize} 154 | \item Summarized the effects of 3D adversarial attacks on point cloud into two aspects from a geometric perspective through comprehensive review of existing attack methods 155 | \item Proposed a novel defense algorithm for 3D point cloud which can simultaneously address the two attack effects via accurate surface recovery and optimization based point restoration 156 | \item Achieved state-of-the-art robustness against all existing attacks on five typical point cloud networks\newline 157 | \end{itemize} 158 | 159 | \vspace{-0.15cm} 160 | 161 | {\textbf{Tsinghua University}}, {Beijing, P.R.China}\newline 162 | \emph{\href{http://ivg.au.tsinghua.edu.cn/index.php}{Intelligent Vision Group}, Department of Automation} \hfill {\em Apr, 2019 -- Apr, 2020}\newline 163 | Research Assistant, Advisors: Profs. \href{http://ivg.au.tsinghua.edu.cn/Jiwen_Lu/}{Jiwen Lu} \& \href{https://www.tsinghua.edu.cn/publish/auen/1713/2011/20110506105532098625469/20110506105532098625469_.html}{Jie Zhou}\newline 164 | \textbf{Project: BiDet: An Efficient Binarized Object Detector} 165 | \begin{itemize} 166 | \item Applied binary neural networks (BNNs) in the object detection task to reduce storage and computational cost, which was the first attempt to the best of our knowledge 167 | \item Employed the Information Bottleneck (IB) method for redundancy removal to fully utilize the capacity of BNNs and learned sparse object priors to eliminate the false positives in prediction outputs 168 | \item Boosted the performance significantly for both one-stage and two-stage detectors while reducing the model size and inference time by more than $10\times$\newline 169 | \end{itemize} 170 | 171 | \vspace{-0.35cm} 172 | 173 | \textbf{Project: Learning Efficient Binarized Object Detectors with Information Compression} 174 | \begin{itemize} 175 | \item Proposed AutoBiDet, an extension of BiDet that automatically adjusts the IB trade-off and utilizes class-aware sparse object priors to alleviate the false positives more effectively 176 | \item Outperformed BiDet by a sizeable margin on both PASCAL VOC and MS COCO datasets when combined with more backbones and detection frameworks 177 | \item Generalized the techniques used in AutoBiDet to improve other model compression methods including low-bit quantization and channel pruning to show the universality of our approach\newline 178 | \end{itemize} 179 | 180 | \iffalse 181 | {\textbf{Tsinghua University}, Beijing, China} \hfill {\em Aug, 2018 -- Apr, 2019}\newline 182 | \emph{\href{http://ivg.au.tsinghua.edu.cn/index.php}{Intelligent Vision Group}, Department of Automation}\newline 183 | Research Assistant, Advisors: Profs. \href{https://www.tsinghua.edu.cn/publish/auen/1713/2011/20110506103534247867775/20110506103534247867775_.html}{Jianjiang Feng} \& \href{https://www.tsinghua.edu.cn/publish/auen/1713/2011/20110506105532098625469/20110506105532098625469_.html}{Jie Zhou}\newline 184 | \textbf{Project: A Cascade Regression Model for Cardiac Landmark Detection} 185 | \begin{itemize} 186 | \item Apply cascade method to achieve state-of-the-art cardiac landmark detection result 187 | \item Take the advantages of two structures that utilize global information and local context to get accurate and fast regression output 188 | \item Lay the foundation for weakly-supervised heart segmentation approaches in the future\newline 189 | \end{itemize} 190 | \fi 191 | 192 | \iffalse 193 | \textbf{Project: CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation} 194 | \begin{itemize} 195 | \item Propose a novel network architecture combining state-of-the-art object detection framework Faster R-CNN and segmentation framework U-net 196 | \item Introduce an elaborate-designed loss called edge loss which can greatly boost the ability of segmentation 197 | \item Achieve relatively competitive performances while reducing the time needed for medical image processing compared to state-of-the-art methods 198 | \end{itemize} 199 | \fi 200 | \end{rSection} 201 | 202 | \vspace{-0.2cm} 203 | 204 | \begin{rSection}{Programming Skills} 205 | 206 | \begin{description} 207 | \item[Proficient] \quad\,\,\,\,\, Python, PyTorch, C\#, Markdown, LaTeX, Git 208 | \item[Familiar] \quad\quad\quad Linux, C/C++, TensorFlow, Keras, MATLAB, HTML, etc. 209 | \newline 210 | %\item[Basic Knowledge] \quad\, MATLAB, Java, JavaScript, HTML/CSS, etc\newline 211 | \end{description} 212 | 213 | \end{rSection} 214 | 215 | \vspace{-0.2cm} 216 | 217 | \begin{rSection}{Language Skills} 218 | 219 | \begin{description} 220 | \item[TOEFL iBT] \quad 109/120 (Reading 30, Listening 26, Speaking 23, Writing 30) 221 | \item[GRE] \quad\quad\quad\quad\,\,\, 333/340+4.5/6.0 (Verbal 163, Quantitative 170, Analytical Writing 4.5) 222 | %\newline 223 | \end{description} 224 | 225 | \end{rSection} 226 | 227 | \end{document} 228 | --------------------------------------------------------------------------------