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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="bootstrap/css/bootstrap.min.css">
<script src="./js/jquery-3.3.1.min.js"></script>
<link rel="stylesheet" href="mystyle.css">
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0,shrink-to-fit=no">
<meta name="description" content="This is Jacky Yibo Zhang's homepage">
<meta name="keywords" content="yibo jacky zhang, jacky Y. zhang, yiboz, zyb233, uiuc, ustc, 张益博">
<meta name="robots" content="all">
<meta name="author" content="Jacky Y. Zhang">
<title>Yibo Jacky Zhang</title>
</head>
<body class="body_bg">
<header class="container" id="my_header">
<div class="row">
<span class="col-md-3 col-0" id="main_header_tab"></span>
<span class="col-md-2 col-4" id="main_header_tab">
HOME
</span>
<span class="col-md-2 col-4"id="main_header_tab">
<a href="my_cv.pdf" title="Yibo Zhang CV" class="header_link">CV</a>
</span>
<span class="col-md-2 col-4"id="main_header_tab">
<!--<a href="https://www.youtube.com/watch?v=K17df81RL9Y" title="click" class="header_link_1" >CLICK</a> -->
<a href="https://jackyz.myportfolio.com/" title="bait" class="header_link">CLICKBAIT</a>
</span>
<span class="col-md-3 col-0" id="main_header_tab"></span>
</div>
<div id="header_background"></div>
</header>
<section class="container" id="box">
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="short_bio">
<div id="Hi" style="padding-bottom:0;">
Hi, I'm Yibo (Jacky) Zhang
</div>
<div id="Hi" style="padding-top: 0;">
<!-- 你好，我是张益博 -->
</div>
<div id="profile_photo">
<image src="profile_photo_circle.png" title="profile_photo" width="240px" height="240px"></image>
<br><br>
<span id="caption">photo taken in Vancouver, Canada</span>
</div>
I am a PhD student in the Department of Computer Science at Stanford University, where I am fortunate to be advised by
<a href="http://sanmi.cs.illinois.edu/index.html" title="Sanmi Koyejo" class="paper_href"> Sanmi Koyejo</a>.
I am broadly interested in
<ul style="list-style-type:circle">
<li>Machine Learning: broadly in understanding and designing machine learning algorithms, especially from a
fundamental perspective. </li>
<li>Optimization: non-convex optimization, combinatorial optimization, stochastic optimization, submodular optimization. </li>
<li>Algorithms: approximation algorithms, heuristic algorithms.</li>
</ul>
<i>Due to uncovered reasons, Yibo Zhang (张益博) used an academic pseudonyms: Jacky Y. Zhang. </i>
</span>
<span class="col-md-2 col-1"></span>
</div>
</section>
<!-- Education & Intern -->
<section class="container" id="box" >
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="bardivide"> </span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="heading">
Education
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<b>Stanford University</b><image src="./stanford_logo.png" title="stanford" width=90px style="float:right"></image>
<ul style="list-style-type:circle">
<li>PhD Student - Department of Computer Science (present)</li>
</ul>
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<b>University of Illinois at Urbana-Champaign</b><image src="./uiuc_logo.png" title="uiuc" width=90px style="float:right"></image>
<ul style="list-style-type:circle">
<li>M.S. in Computer Science (2022)</li>
</ul>
</span>
<span class="col-md-2 col-1"></span>
<!-- <span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<b>Tencent </b> <image src="./tencent_logo.png" title="tencent" width=90px style="float:right"></image>
<ul style="list-style-type:circle">
<li>Research Intern at WeChat Group</li>
<li>Summer 2019</li>
</ul>
</span>
<span class="col-md-2 col-1"></span> -->
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<b>University of Science and Technology of China </b> <image src="./ustc_logo.gif" title="ustc" width=90px style="float:right"></image>
<ul style="list-style-type:circle">
<li>B.E. in Computer Science (2019)</li>
</ul>
</span>
<span class="col-md-2 col-1"></span>
</div>
</section>
<!-- Publications -->
<section class="container" id="box">
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="bardivide"> </span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="heading">
Publications & Preprints
<br>
<font size="+0">(*eqaul contribution)</font>
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="firstsmallheading">
Selected
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting </b>
[ <a href="https://openreview.net/forum?id=6J3ehSUrMU" title="Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting" class="paper_href">pdf</a> ]
<br>
Enyi Jiang*, Yibo Jacky Zhang*, Oluwasanmi Koyejo. <br>
International Conference on Learning Representations (ICLR), 2024.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization </b>
[ <a href="https://arxiv.org/abs/2202.01832" title="Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization" class="paper_href">pdf</a> ]
[ <a href="./files/icml22-poster.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.com/38983737/adversarially-robust-models-may-not-transfer-better-domain-transferability-from-the-view-of-regularization?ref=search-presentations-Adversarially+Robust+Models+may+not+Transfer+Better" title="short talk" class="paper_href">talk</a> ]
<br>
Xiaojun Xu*, Jacky Y. Zhang*, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li. <br>
International Conference on Machine Learning (ICML), 2022.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective</b>
<br>
[ <a href="https://arxiv.org/abs/2007.00715" title="Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective" class="paper_href">pdf</a> ]
[ <a href="./files/bayesian_coreset_optimization_aistais_poster.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.at/38953354/bayesian-coresets-revisiting-the-nonconvex-optimization-perspective?ref=search" title="short talk" class="paper_href">short talk</a> ]
[ <a href="https://slideslive.at/38953402/oral-bayesian-coresets-revisiting-the-nonconvex-optimization-perspective?ref=speaker-17421-latest" title="long_talk" class="paper_href">long talk</a> ]
<br>
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo. <br>
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. (Oral)
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability </b>
[ <a href="https://arxiv.org/abs/2006.14512" title="Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability" class="paper_href">pdf</a> ]
[ <a href="./files/poster-transferability-ICML21.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.com/38958855/uncovering-the-connections-between-adversarial-transferability-and-knowledge-transferability?ref=search" title="short talk" class="paper_href">talk</a> ]
<br>
Kaizhao Liang*, Jacky Y. Zhang*, Boxin Wang, Zhuolin Yang, Oluwasanmi Koyejo, Bo Li <br>
International Conference on Machine Learning (ICML), 2021.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="firstsmallheading">
List of All
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Can Public Large Language Models Help Private Cross-device Federated Learning? </b>
[ <a href="https://arxiv.org/abs/2305.12132" title="Can Public Large Language Models Help Private Cross-device Federated Learning?" class="paper_href">pdf</a> ]
<br>
Boxin Wang, Yibo Jacky Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer. <br>
Preprint.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting </b>
[ <a href="https://openreview.net/forum?id=6J3ehSUrMU" title="Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting" class="paper_href">pdf</a> ]
<br>
Enyi Jiang*, Yibo Jacky Zhang*, Oluwasanmi Koyejo. <br>
International Conference on Learning Representations (ICLR), 2024.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Batch Active Learning from the Perspective of Sparse Approximation </b>
[ <a href="https://arxiv.org/abs/2211.00246" title="Batch Active Learning from the Perspective of Sparse Approximation" class="paper_href">pdf</a> ]
[ <a href="./files/neurips22-AL-sparse.pdf" title="poster" class="paper_href">poster</a> ]
<br>
Maohao Shen*, Bowen Jiang*, Jacky Y. Zhang*, Oluwasanmi Koyejo. <br>
NeurIPS 2022 Workshop on Human in the Loop Learning.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization </b>
[ <a href="https://arxiv.org/abs/2202.01832" title="Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization" class="paper_href">pdf</a> ]
[ <a href="./files/icml22-poster.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.com/38983737/adversarially-robust-models-may-not-transfer-better-domain-transferability-from-the-view-of-regularization?ref=search-presentations-Adversarially+Robust+Models+may+not+Transfer+Better" title="short talk" class="paper_href">talk</a> ]
<br>
Xiaojun Xu*, Jacky Y. Zhang*, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li <br>
International Conference on Machine Learning (ICML), 2022.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective</b>
<br>
[ <a href="https://arxiv.org/abs/2007.00715" title="Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective" class="paper_href">pdf</a> ]
[ <a href="./files/bayesian_coreset_optimization_aistais_poster.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.at/38953354/bayesian-coresets-revisiting-the-nonconvex-optimization-perspective?ref=search" title="short talk" class="paper_href">short talk</a> ]
[ <a href="https://slideslive.at/38953402/oral-bayesian-coresets-revisiting-the-nonconvex-optimization-perspective?ref=speaker-17421-latest" title="long_talk" class="paper_href">long talk</a> ]
<br>
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo. <br>
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. (Oral)
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability </b>
[ <a href="https://arxiv.org/abs/2006.14512" title="Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability" class="paper_href">pdf</a> ]
[ <a href="./files/poster-transferability-ICML21.pdf" title="poster" class="paper_href">poster</a> ]
[ <a href="https://slideslive.com/38958855/uncovering-the-connections-between-adversarial-transferability-and-knowledge-transferability?ref=search" title="short talk" class="paper_href">talk</a> ]
<br>
Kaizhao Liang*, Jacky Y. Zhang*, Boxin Wang, Zhuolin Yang, Oluwasanmi Koyejo, Bo Li <br>
International Conference on Machine Learning (ICML), 2021.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Labeling Cost-Sensitive Batch Active Learning for Brain Tumor Segmentation</b>
<!-- [ <a href="https://arxiv.org/abs/2007.00715" title="Bayesian Coresets: An Optimization Perspective" class="paper_href">pdf</a> ]<br> -->
<br>
Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo. <br>
International Symposium on Biomedical Imaging (ISBI), 2021.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Robusta: Robust AutoML for Feature Selection via Reinforcement Learning</b>
[ <a href="https://arxiv.org/pdf/2101.05950.pdf" title="Robusta: Robust AutoML for Feature Selection via Reinforcement Learning" class="paper_href">pdf</a> ]<br>
Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, Klara Nahrstedt. <br>
AAAI 2021 Workshop Towards Robust, Secure and Efficient Machine Learning.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Learning Sparse Distributions using Iterative Hard Thresholding </b>
[ <a href="https://arxiv.org/abs/1910.13389" title="Learning Sparse Distributions using Iterative Hard Thresholding" class="paper_href">pdf</a> ]
[ <a href="./files/distIHT_poster.pdf" title="poster" class="paper_href">poster</a> ]
<br>
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo. <br>
Neural Information Processing
Systems (NeurIPS), 2019.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization</b>
[ <a href="https://arxiv.org/abs/1810.06833" title="Continuous Functions Derivative-free" class="paper_href">pdf</a> ] <br>
Yibo Zhang, Chao Qian, Ke Tang. <br>
Preprint: arXiv 1810.06833, 2018.
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="paperlist">
<b>On Multiset Selection with Size Constraints</b>
[ <a href="https://pdfs.semanticscholar.org/4b4e/2d0699918230e0905a2249ce12dc244514b9.pdf" title="On Multiset Selection with Size Constraints" class="paper_href">pdf</a> ]<br>
Chao Qian, Yibo Zhang, Ke Tang, Xin Yao. <br>
AAAI Conference on Artificial Intelligence (AAAI), 2018.
</span>
<span class="col-md-2 col-1"></span>
</div>
</section>
<!-- Awards -->
<section class="container" id="box">
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="bardivide"> </span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="heading">
Selected Honors
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<ul>
<li>
<span id="honor_years">2018</span>
<span id="honor">Guo Moruo Scholarship (Highest Graduation Distinction)</span>
</li>
<li>
<span id="honor_years">2017</span>
<span id="honor">Outstanding Student Scholarship Golden Award</span>
</li>
<li>
<span id="honor_years">2016</span>
<span id="honor">Member of Talent Program in Computer Science and Technology, USTC</span>
</li>
<li>
<span id="honor_years">2016</span>
<span id="honor">Outstanding Student Scholarship Golden Award</span>
</li>
</ul>
</span>
<span class="col-md-2 col-1"></span>
</div>
</section>
<!-- Contact -->
<section class="container" id="box">
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="bardivide"> </span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="heading">
Contact
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<span id="contact">
yiboz@stanford.edu <br>
</span>
</span>
<span class="col-md-2 col-1"></span>
</div>
</section>
<!-- Others -->
<section class="container" id="box">
<div class="row" id="content_bg">
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="bardivide"> </span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="heading">
Miscellaneous
</span>
<span class="col-md-2 col-1"></span>
<span class="col-md-2 col-1"></span>
<span class="col-md-8 col-10" id="maincontent">
<span id="contact">
I love <a href="https://jackyz.myportfolio.com/" title="portfolio" class="paper_href">photography</a>, music and outdoor activities in general. <br>
</span>
</span>
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<b>Photographer of Today:</b> <a href="https://www.mattstuart.com/all-that-life-can-afford" title="Photographer" class="paper_href">Matt Stuart</a> <image src="./photo.jpeg" title="photo" width=200px style="float:right"></image>
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<b>Music of Today:</b> <a href="https://www.youtube.com/watch?v=pTmTlwZcli0" title="song" class="paper_href">A Love Song</a> - EGO WRAPPIN' <image src="./song_cover.jpeg" title="song" width=150px style="float:right"></image>
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I will probably update these tomorrow almost surely with high probability.
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