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<!DOCTYPE HTML> | ||
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | ||
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<title>Yue Liu</title> | ||
<title>Xiao He</title> | ||
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<meta name="author" content="Yue Liu"> | ||
<meta name="author" content="Xiao He"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1"> | ||
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<link rel="stylesheet" type="text/css" href="stylesheet.css"> | ||
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<name>Yue Liu</name> | ||
</p> | ||
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<p style="text-align:justify">Yue Liu (刘悦) is a master student at degree College of Computer Science and Technology, <a href="https://english.nudt.edu.cn/">National University of Defence Technology (NUDT)</a>. | ||
He is supervised by Prof. <a href="https://xinwangliu.github.io/">Xinwang Liu</a> at PRMI lab. | ||
<p style="text-align:justify">Xiao He (何潇) is a master student at degree China University of Geosciences, </a>. | ||
He is supervised by Prof. <a href="https://tangchang.net/">Chang Tang</a> and Pichao Wang. | ||
</p> | ||
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<p style="text-align:center"> | ||
<a href="[email protected]">Email</a>  /  | ||
<a href="[email protected]">Email</a>  /  | ||
<!-- <a href="data/YueLiu-CV.pdf">CV</a>  / --> | ||
<!-- <a href="data/YueLiu-bio.txt">Bio</a>  / --> | ||
<a href="https://scholar.google.com/citations?user=5tfpu3MAAAAJ&hl=zh-CN/">Google Scholar</a>  /  | ||
<a href="https://twitter.com/lyq_q/">Twitter</a>  /  | ||
<a href="https://github.com/yueliu1999/">Github</a>  /  | ||
<a href="images/GF.png">GF</a> | ||
<!-- <a href="data/YueLiu-bio.txt">Bio</a>  /  --> | ||
<!-- <a href="https://scholar.google.com/citations?user=5tfpu3MAAAAJ&hl=zh-CN/">Google Scholar</a>  /  --> | ||
<!-- <a href="https://twitter.com/lyq_q/">Twitter</a>  /  --> | ||
<a href="https://github.com/hexiao0275/">Github</a>  /  | ||
<!-- <a href="images/GF.png">GF</a> --> | ||
</p> | ||
</td> | ||
<td style="padding:2.5%;width:40%;max-width:40%"> | ||
<a href="images/liuyue_2.jpg"><img style="width:100%;max-width:100%" alt="profile photo" src="images/liuyue_2.jpg" class="hoverZoomLink"></a> | ||
<a href="images/hexiao.jpg"><img style="width:100%;max-width:100%" alt="profile photo" src="images/hexiao.jpg" class="hoverZoomLink"></a> | ||
</td> | ||
</tr> | ||
</tbody></table> | ||
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody> | ||
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<tr> | ||
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<td style="padding:20px;width:25%;vertical-align:middle"> | ||
<div class="one"> | ||
<img src='images/IDCRN.png' width="160"> | ||
</div> | ||
</td> | ||
<td style="padding:20px;width:75%;vertical-align:middle"> | ||
<a href="https://arxiv.org/pdf/2202.12533"> | ||
<papertitle>Improved Dual Correlation Reduction Network with Affinity Recovery</papertitle> | ||
</a> | ||
<br> | ||
<strong>Yue Liu</strong>*, | ||
Sihang Zhou*, | ||
X. Yang, | ||
<a href="https://xinwangliu.github.io/">Xinwang Liu</a>, | ||
W. Tu, | ||
L. Li, | ||
Xin Xu, | ||
Funchun Sun, | ||
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<br> | ||
<em>IEEE T-NNLS</em>, 2024 | ||
<br> | ||
<a href="https://arxiv.org/pdf/2202.12533">Paper</a> | ||
/ | ||
<a href="https://github.com/yueliu1999/IDCRN">Code</a> | ||
<p></p> | ||
<p style="text-align:justify"> | ||
We explore deep-in reasons of representation collapse in deep graph clustering and improve the dual correlation reduction network with the affinity recovery strategy. | ||
</p> | ||
</td> | ||
</tr> | ||
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<tr> | ||
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<td style="padding:20px;width:25%;vertical-align:middle"> | ||
<div class="one"> | ||
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