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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/">
<link rel="stylesheet" href="./files/jemdoc.css" type="text/css">
<title>Xinyi Xu</title>
</head>
<body data-gr-c-s-loaded="true">
<div id="layout-content">
<div id="toptitle">
<h1>Xinyi Xu</h1>
</div>
<table class="imgtable">
<tbody><tr>
<td>
<img src="./files/profile.jpg" alt="photography" width="150px" height="190px"> </td>
<td align="left">
<p><b>Xinyi Xu, Ph.D. candidate</b><br>
<a href="https://see.xidian.edu.cn/">School of Electronic Engineering</a><br>
<a href="https://www.xidian.edu.cn/">Xidian University</a><br>
Xi'an 710071, China<br>
E-mail: <a href="mailto:[email protected]">[email protected]</a><br>
<a href="https://scholar.google.com/citations?user=GqqOOiEAAAAJ&hl=en">Google Scholar</a><br>
<a href="https://github.com/XinyiXuXD"><img src="./files/github.jpeg" alt="" width="25px" height="33px"></a>
<a href="https://www.linkedin.com/in/xinyi-xu-0141a1200/"><img src="./files/linkedin.png" alt="" width="160px" height="33px"></a>
</td>
</tr>
</tbody></table>
<h2>Short Biography</h2>
<p>I am a Ph.D. candidate in School of Electronic Engineering at Xidian University. My advisor is <a href="https://see.xidian.edu.cn/faculty/chdeng/">Dr. Cheng Deng</a>.
I am currently a visiting scholar at DIVE Lab with <a href="http://people.tamu.edu/~sji/">Dr. Shuiwang Ji</a>, Texas A&M University.
<h2>Research Interests</h2>
<ul>
<li>
<p>Deep metric learning</p>
</li>
<li>
<p>Computer vision</p>
</li>
<li>
<p>Deep learning</p>
</li>
</ul>
<h2>Education</h2>
<ul>
<li>
<p>Ph.D., Computer Science, <a href="http://spoe.xidian.edu.cn/">Xidian University</a>, Spring 2016 -
Present</p>
</li>
<li>
<p>M.S., Electronic Engineering, <a href="http://spoe.xidian.edu.cn/">Xidian University</a>, September 2014 -
Spring 2016</p>
</li>
<li>
<p>B.S., Electronic Science and Technology, <a href="http://spoe.xidian.edu.cn/">Xidian University</a>, September 2010 - July 2014</p>
</li>
</ul>
<h2>Publications</h2>
<h3>Preprint</h3>
<ul>
<li>
<strong>Xinyi Xu</strong>, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji <br />
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping <br />
<a href="https://arxiv.org/abs/2011.08877">[Paper]</a>
</li>
</ul>
<h3>Conference Papers</h3>
<ul>
<li>
<strong>Xinyi Xu</strong>, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng <br />
Zero-shot Metric Learning <br />
Proceedings of the 28th International Joint Conference on Artificial Intelligence
(<strong>IJCAI</strong>), 3996-4002, 2019 <br>
<a href="https://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/IJCAI2019_Xinyi.pdf">[Paper]</a>
</li>
<li>
<strong>Xinyi Xu</strong>, Yanhua Yang, Cheng Deng, Feng Zheng <br />
Deep Asymmetric Metric Learning via Rich Relationship Mining <br />
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
(<strong>CVPR</strong>), 4076-4085, 2019 <br />
<a href="https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Deep_Asymmetric_Metric_Learning_via_Rich_Relationship_Mining_CVPR_2019_paper.html">[Paper]</a>
</li>
<li>
Pu Chen, <strong>Xinyi Xu</strong>, Cheng Deng <br>
Deep View-Aware Metric Learning for Person Re-Identification <br />
Proceedings of the 27th International Joint Conference on Artificial Intelligence
(<strong>IJCAI</strong>), 620-626, 2018 <br />
<a href="https://www.ijcai.org/Proceedings/2018/86">[Paper]</a>
</li>
</ul>
<h3>Journal Article(s)</h3>
<ul>
<li>
<strong>Xinyi Xu</strong>, Cheng Deng, Feiping Nie <br />
Adaptive Graph Weighting for Multi-view Dimensionality Reduction <br />
Signal Processing (<strong>SP</strong>), 165: 186-196, 2019 <br />
<a href="https://www.sciencedirect.com/science/article/pii/S0165168419302348">[Paper]</a>
</li>
</ul>
<h2>Services</h2>
<h3>Program Committee Member|Reviewer</h3>
<ul>
<li> International Joint Conference on Artificial Intelligence (<strong>IJCAI</strong>), 2020</li>
<li>Association for the Advancement of Artificial Intelligence (<strong>AAAI</strong>), 2021</li>
</ul>
</body></html>