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@JngwenYe
JngwenYe committed Jul 17, 2023
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This is the homepage of Jingwen Ye.
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304 changes: 304 additions & 0 deletions index.html
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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">

<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">
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<small><em><q>It's about a man who has nothing, who risks everything, to feel something.</q> --Jessica Day</em></small>
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<p style="text-align:center">
<name>叶静雯 (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.

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<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.
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<p style="text-align:center">
<a href="mailto:[email protected]">Email</a> &nbsp/&nbsp
<a href="Jingwen_Ye_NUS.pdf">CV</a> &nbsp/&nbsp
<a href="https://scholar.google.com/citations?user=8GQnNP0AAAAJ&hl">Google Scholar</a> &nbsp/&nbsp
<a href="https://github.com/JngwenYe">Github</a> &nbsp/&nbsp
<a href="https://twitter.com/petrina_yee?s=21">Twitter</a> &nbsp/&nbsp
<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>
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<a href="jingwen.jpg"><img style="width:100%;max-width:100%" alt="profile photo" src="jingwen.jpg" class="hoverZoomLink"></a>

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<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"><tbody>
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<heading>Selected Publications</heading>
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<div><img style="width:100%;max-width:100%" src="data/cloning.png"></div>
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<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>
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PNC conducts partial parametric "cloning" from a source network and then injects the cloned module to the target, without modifying its parameters.
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<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>
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LIRF explicitly handles the task- or sample-specific knowledge removal and recovery.
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<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.
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<heading>Work Experience</heading>
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<strong> Research Fellow,&nbsp National University of Singapore</strong>
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Oct. 2021 -- Present
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<strong> Research Intern,&nbsp Alibaba Group</strong>
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Oct. 2017 -- Mar. 2019
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<strong>Research Intern,&Alibaba-Zhejiang University Joint Institute</strong>
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Jul. 2017 -- Sep. 2021
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<heading>Education</heading>
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<img src="images/zju.png" width="80">
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<strong> Ph.D Student,&nbsp Zhejiang University</strong>, &nbsp&nbsp (Sep. 2016 -- Jun. 2021) <br>
<br>
College of Computer Science and Technology <br>
<br>
<strong>Outstanding Graduate</strong>, &nbsp Advisor: Prof. Chun Chen and Prof. Mingli Song <br>
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<strong>B.Eng.,&nbsp Dalian University of Technology</strong>,&nbsp&nbsp (Sep. 2012 -- Jun. 2016) <br>
<br>
School of Information and Communication Engineering
<br>
Outstanding Graduate, <strong>Ranking: 1/35</strong>
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<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>
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<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>
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<a href="https://jonbarron.info/">template from here</a>
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