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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-12">
<title>Jingwen Ye</title>
<meta name="author" content="Jingwen Ye">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" type="image/png" href="jingwen.jpg">
</head>
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<p style="text-align:center">
<name>Jingwen Ye</name>
</p>
<p>
Welcome to my homepage! I'm Jingwen Ye,
currently a research fellowship at <a href=http://www.lv-nus.org//>Learning and Vision Lab</a>, National University of Singapore,
working with <a href=https://sites.google.com/site/sitexinchaowang/>Prof. Xinchao Wang</a>.
I received my PhD from Zhejiang University, studying computer vision under <a href="https://vipazoo.cn/people/songmingli.html">Prof. Mingli Song</a> and <a href="https://person.zju.edu.cn/chenc">Chun Chen</a>. Prior to that, I got my B. Eng. Degree from Dalian University of Technology.
</p>
<p>
My current research interests are mainly about <strong>Privacy-aware Transfer Learning</strong> and <strong>Effective Model Reusing</strong>. Specially, I focus on the privacy issues on the AIGC models. Also I investigate deeper with knowledge distillation and amalgamation techniques to improve the performance of the multi-task networks.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="Jingwen_Ye_NUS.pdf">CV</a>  / 
<a href="https://scholar.google.com/citations?user=8GQnNP0AAAAJ&hl">Google Scholar</a>  / 
<a href="https://github.com/JngwenYe">Github</a>  / 
<a href="https://twitter.com/petrina_yee?s=21">Twitter</a>  / 
<a href="http://linkedin.com/in/jingweny0520">Linkedin</a>
</p>
<small><em><q>The world is full of magic things, patiently waiting for our senses to grow sharper. </q> -- W.B. Yeats</em></small>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="jingwen.jpg"><img style="width:100%;max-width:100%" alt="profile photo" src="jingwen.jpg" class="hoverZoomLink"></a>
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<heading>News & Invited Talk</heading>
<br>
<br>
- Apr. 2024. I was invited to give a guest lecture on “Efficiency- and Privacy- Related Model Reuse” at NUS.
<br><br>
- Mar. 2024. My two first-author papers were accepted by CVPR 2024
<br><br>
- Dec. 2022. My paper was voted <a href="https://cde.nus.edu.sg/ece/news-detail/best-paper-award-at-the-2022-ieee-international-conference-on-visual-communications-and-image-processing-vcip_ms-ye-jingwen/">Best Paper Award</a>, IEEE VCIP 2022
<br>
<br>
- Aug. 2022. I was invited to give a talk on <a href="https://mp.weixin.qq.com/s/eTr6dsisBsAhW_TkDz6q3g"> Privacy-related Transfer Learning</a> to Shanghai AI lab.
<br>
<br>
- Nov 2022. <a href="https://openreview.net/forum?id=gtCPWaY5bNh">Our Paper</a> received a nomination for the Paper Award at NeurIPS 2022.
<br><br>
- June 2021. I graduated with a Ph.D. from Zhejiang University and was honored as an <a href="images/graduate">Graduate of Zhejiang Province</a>.
<br><br>
- Feb 2020. I was invited to give a presentation on <a href="https://mp.weixin.qq.com/s/ivXGHp6ahaWfbwFsYId83w">How To Plan Your Research Life</a> During the COVID-19.
<br><br>
- Oct. 2019. I accepted an interview by the official media of the school and had <a href="https://mp.weixin.qq.com/s/yJULOkolslTEUuYqSYNmHA" >My Personal Column</a> published.
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<br><br>
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<heading>Selected Publications</heading>
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<div><img style="width:100%;max-width:100%" src="images/cvpr24ddm.png"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle>Distilled Datamodel with Reverse Gradient Matching
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
<a href="https://scholar.google.com/citations?user=UHP95egAAAAJ">Ruonan Yu</a>,
<a href="http://121.37.94.87/">Songhua Liu</a>,
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
IEEE Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>, 2024
<br>
<a href="https://arxiv.org/abs/2404.14006">[paper]</a>
<p>
We introduce an efficient framework for assessing data impact, comprising offline training and online evaluation stages.
</p>
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style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<div><img style="width:100%;max-width:100%" src="images/cvpr24uges.png"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle>Ungeneralizable Examples
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
IEEE Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>, 2024
<br>
<a href="https://arxiv.org/abs/2404.14016">[paper]</a>
<p>
UGEs exhibit learnability for authorized users while maintaining unlearnability for potential hackers.
</p>
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<div><img style="width:100%;max-width:100%" src="images/AAAI24.jpg"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle>Mutual-modality Adversarial Attack with Semantic Perturbation
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
<a href="https://scholar.google.com/citations?user=UHP95egAAAAJ">Ruonan Yu</a>,
<a href="http://121.37.94.87/">Songhua Liu</a>,
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
AAAI Conference on Artificial Intelligence <strong>(AAAI)</strong>, 2024
<br>
<a href="https://arxiv.org/abs/2312.12768">[paper]</a>
<p>
We propose a novel approach that generates adversarial attacks in a mutual-modality optimization scheme.
</p>
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style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<div><img style="width:100%;max-width:100%" src="data/cloning.png"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle>Partial Network Cloning
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
<a href="http://121.37.94.87/">Songhua Liu</a>,
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
IEEE Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>, 2023
<br>
<a href="https://arxiv.org/abs/2303.10597">[paper]</a>
<a href="https://github.com/JngwenYe/PNCloning">[code]</a>
<a href="https://www.youtube.com/watch?v=JV8Ozatq56s">[video]</a>
<a href="https://mp.weixin.qq.com/s/aoaeo6cY2RJ0IwQrIxZMsw">[blog]</a>
<p>
PNC conducts partial parametric "cloning" from a source network and then injects the cloned module to the target, without modifying its parameters.
</p>
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style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<div><img style="width:100%;max-width:100%" src="images/deposit.png"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle> Learning with Recoverable Forgetting
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
Yifan Fu,
<a href="https://scholar.google.com/citations?user=4OjO-WYAAAAJ&hl=en">Jie Song</a>,
<a href="https://adamdad.github.io/">Xingyi Yang</a>,
<a href="http://121.37.94.87/">Songhua Liu</a>,
<a href="https://scholar.google.com/citations?user=byaSC-kAAAAJ">Xin Jin</a>,
<a href="https://vipazoo.cn/people/songmingli.html">Mingli Song</a>,
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
European Conference on Computer Vision<strong>(ECCV)</strong>, 2022
<br>
<a href="https://arxiv.org/abs/2207.08224">[paper]</a>
<a href="https://github.com/JngwenYe/LIRF">[code]</a>
<a href="https://mp.weixin.qq.com/s/5vin9G4jD3fMQjq_zGOfyw">[blog]</a>
<p>
LIRF explicitly handles the task- or sample-specific knowledge removal and recovery.
</p>
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<div><img style="width:100%;max-width:100%" src="images/sdb.png"></div>
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<td style="padding:30px;width:60%;vertical-align:middle">
<papertitle>Safe Distillation Box
</papertitle>
<br>
<br>
<strong>Jingwen Ye</strong>,
Yining Mao,
<a href="https://scholar.google.com/citations?user=4OjO-WYAAAAJ&hl=en">Jie Song</a>,
<a href="">Cheng Jing</a>
<a href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>
<br>
d <strong>(AAAI)</strong>, 2022
<br>
<a href="https://arxiv.org/abs/2303.10597">[paper]</a>
<a href="https://github.com/JngwenYe/PNCloning">[code]</a>
<a href="https://www.youtube.com/watch?v=JV8Ozatq56s">[video]</a>
<a href="https://mp.weixin.qq.com/s/aoaeo6cY2RJ0IwQrIxZMsw">[blog]</a>
<p>
SDB allows us to wrap a pre-trained model in a virtual box for intellectual property protection.
</p>
</td>
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<br><br>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Work Experience</heading>
</td>
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<table table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
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<td style="padding:20px;width:75%;vertical-align:middle">
<strong> Research Fellow,  National University of Singapore</strong>
<br>
<br>
<em>- Work in LVLab, Department of Electrical and Computer Engineering.</em>
<br>
<em>- Advise Prof. Xinchao Wang on privacy-related machine learning, effective model reuse, and dataset condensation.
</em> <br>
</td>
<td width="45%">
Oct. 2021 -- Present
</td>
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<table table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
<tbody>
<td style="padding:20px;width:75%;vertical-align:middle">
<strong> Research Intern,  Alibaba Group</strong>
<br><br> <em> - Developed a human matting method that was successfully applied in the Taobao APP, resulting in a first-round engagement of 339,187 PV and 82,210 UV.
</em><br>
</td>
<td width="45%">
Oct. 2017 -- Mar. 2019
</td>
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<tbody>
<td style="padding:20px;width:75%;vertical-align:middle">
<strong>Research Intern,&Alibaba-Zhejiang University Joint Institute</strong>
<br><br>
<em>
- Proposed the learning algorithm that supported the recommendation system.<br>
- Received the honor of <strong>Outstanding Intern</strong> in 2019.
</em><br>
</td>
<td width="45%">
Jul. 2017 -- Sep. 2021
</td>
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<table table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
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<td width="100%" valign="middle">
<heading>Education</heading>
</td>
</tr>
</tbody>
</tbody></table>
<table table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
<tbody>
<td width="15%">
<img src="images/zju.png" width="80">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<strong> Ph.D Student,  Zhejiang University</strong>,    (Sep. 2016 -- Jun. 2021) <br>
<br>
College of Computer Science and Technology <br>
<br>
<strong>Outstanding Graduate</strong>,   Advisor: Prof. Chun Chen and Prof. Mingli Song <br>
</td>
</tr>
<table table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
<tbody>
<td width="15%">
<img src="images/dut.png" width="80">
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<strong>B.Eng.,  Dalian University of Technology</strong>,   (Sep. 2012 -- Jun. 2016) <br>
<br>
School of Information and Communication Engineering
<br>
Outstanding Graduate, <strong>Ranking: 1/35</strong>
</td>
</tr>
<br><br>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Awards</heading>
<br> <br>
<em>Best Paper Award of International Conference on Visual Communications and Image Processing (2022)</em>
<br> <br>
<em>Outstanding Graduate of Zhejiang Province (2021)</em>
<br> <br>
<em>National Scholarship (top 2\%); Graduate of Merit/Triple A Graduate (2019 & 2020)</em><br> <br>
<em>Excellent Intern of Alibaba-Zhejiang University Joint Research Institute of Frontier Technologise (2020)</em><br> <br>
<em>Candidate of Zhu Kezhen Scholarship (top 1\%) (2019)</em><br> <br>
<em>Most Valuable Academic Award of Doctoral Forum (2019)</em><br> <br>
<em>Excellent Social Practice Individual Award (2018)</em><br> <br>
<em>Award of Honor for Graduate (2017 & 2018)</em><br> <br>
<em>Outstanding Graduate of Liaoning Province (2016)</em>
<br>
</td>
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<br><br>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Academic Service (Reviewer)</heading>
<br><br>
<em> Journal Reviewer: TPAMI, TIP, SPM, TCYB, TCSVT, PR, TMLR, ...
</em>
<br>
<em>Conference Reviewer: CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, AAAI, IJCAI, ...</em>
<br>
</td>
</table>
<br><br>
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