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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" slick-uniqueid="3">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="keywords" content="Hongfei Xue, UB, State University of New York at Buffalo, USTC, University of Science and Technology of China, 薛鸿飞, 纽约州立大学布法罗分校, 布法罗大学, 中国科学技术大学, 中科大, CS, CSE, Computer Science, Computer Science and Engineering, 计算机系">
<meta name="description" content="Hongfei Xue's Homepage">
<link rel="stylesheet" href="./stylesheet.css" type="text/css">
<style type="text/css">
</style>
<title>Hongfei Xue - Homepage</title>
</head>
<body>
<div id="layout-content" style="margin-top:25px">
<table>
<tbody>
<tr>
<td width="39%" valign="top" height="193">
<img height="225" id="photo" style="padding: 0pt 30pt 0pt 20pt; float: left; display: inline;" src="./hongfei.jpg">
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<td width="60%" valign="top" height="193">
<b><font face="Times New Roman" size="6">Hongfei Xue</font><font size="6" face="楷体_GB2312"> （薛鸿飞）</font><font face="Times New Roman" size="6"></font></b>
<br><br>
<p>
PhD Candidate
</p>
<p>
Department of Computer Science and Engineering
</p>
<p>
State University of New York at Buffalo
</p>
<p>
Email: hongfeix AT buffalo DOT edu
</p>
<p>
[<a href="https://scholar.google.com/citations?user=1RiEevcAAAAJ&hl=en" target="_blank">Google Scholar</a>]
</p>
</td>
</tr>
</tbody>
</table>
<h2>Biography</h2>
<p style="text-align:justify;">
I am currently a PhD candidate in <a href="https://engineering.buffalo.edu/computer-science-engineering.html" target="_blank"> the Department of Computer Science and Engineering</a> at <a href="https://www.buffalo.edu/" target="_blank">State University of New York at Buffalo</a> jointly supervised by Prof. <a href="https://cse.buffalo.edu/~lusu/" target="_blank">Lu Su</a> and Prof. <a href="https://engineering.virginia.edu/faculty/aidong-zhang" target="_blank">Aidong Zhang</a>. Before that, I received my B.S. degree from <a href="https://www.ustc.edu.cn/" target="_blank">University of Science and Technology of China (USTC)</a> in 2015.
</p>
<p>
My research interests are broadly in Sensing System, Machine Learning, Computer Vision, Data Mining. I'm particularly interested in the areas of Human Activity Recognition and 3D Human Pose Estimation using wireless devices.
</p>
<h2>news</h2>
<ul>
<li>
05/25/21: [Paper Accepted] A first-author paper "<em>mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave</em>" was accepted in <b>MobiSys2021</b>.
</li>
<li>
12/11/20: [Award] I got "<em>CSE PhD Best Research Award 2020</em>" in CSE department.
</li>
<li>
09/23/20: [Paper Presentation] I presented paper "<em>Towards 3D Human Pose Construction Using WiFi</em>" on <b>MobiCom2020</b>.
</li>
<li>
09/16/20: [Paper Presentation] I presented paper "<em>DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition</em>" on <b>Ubicomp2020</b>.
</li>
</ul>
<h2>Publications</h2>
<ul>
<li id='MobiSys21'>
<font size="3.5" face="times new roman, serif"><b>mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave</b>
[<a href="./resource/21_MobiSys.pdf" target="_blank">Paper</a>]
[<a href="https://www.youtube.com/watch?v=xW4ZlmxEu9Q" target="_blank">Real-time Demo</a>]
[<a href="https://youtu.be/zEAKmNc-0MY" target="_blank">Presentation Video</a>]
[<a href="https://havocfixer.github.io/mmMesh/" target="_blank">Project Site</a>]<br>
<b>Hongfei Xue</b>, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su<br>
<em>Proceedings of the 19th ACM International Conference on Mobile Systems, Applications, and Services</em>, <b>MobiSys2021</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='MobiCom20'>
<font size="3.5" face="times new roman, serif"><b>Towards 3D Human Pose Construction Using WiFi</b>
[<a href="./resource/20_MobiCom.pdf" target="_blank">Paper</a>]
[<a href="https://www.youtube.com/watch?v=puU4EvBTPxA&feature=youtu.be" target="_blank">Demo Video</a>]
[<a href="https://www.youtube.com/watch?v=0lOSA1piKjQ&feature=youtu.be" target="_blank">Short Presentation Video</a>]
[<a href="https://www.youtube.com/watch?v=WoCMlDM2NiE&feature=youtu.be" target="_blank">Full Presentation Video</a>]
[<a href="https://www.dropbox.com/s/r52zcgtkvw7l0xd/WiPose.pptx?dl=0" target="_blank">Full Slides</a>]<br>
Wenjun Jiang*, <b>Hongfei Xue*</b>, Chenglin Miao, Shiyang Wang, Sen Lin, Chong Tian, Srinivasan Murali, Haochen Hu, Zhi Sun, Lu Su<br>
(*: Equal contributions)<br>
<em>Proceedings of the 26th Annual International Conference on Mobile Computing and Networking</em>, <b>MobiCom2020</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='UbiComp20'>
<font size="3.5" face="times new roman, serif"><b>DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition</b>
[<a href="./resource/20_UbiComp.pdf" target="_blank">Paper</a>]
[<a href="https://www.youtube.com/watch?v=ePpuq0sAXHk&list=PLqhXYFYmZ-Veo919JzizD4ZAAQEDxfIwi&index=4" target="_blank">Full Presentation Video</a>]<br>
<b>Hongfei Xue*</b>, Wenjun Jiang*, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su<br>
(*: Equal contributions)<br>
<em>Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologiesg</em>, <b>UbiComp2020</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='IJCAI19_1'>
<font size="3.5" face="times new roman, serif"><b>Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm</b>
[<a href="./resource/19_IJCAI_1.pdf" target="_blank">Paper</a>]<br>
Mengdi Huai, <b>Hongfei Xue</b>, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang<br>
<em>Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Main track</em>, <b>IJCAI2019</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='IJCAI19_2'>
<font size="3.5" face="times new roman, serif"><b>On the Estimation of Treatment Effect with Text Covariates</b>
[<a href="./resource/19_IJCAI_2.pdf" target="_blank">Paper</a>]<br>
Liuyi Yao, Sheng Li, Yaliang Li, <b>Hongfei Xue</b>, Jing Gao, Aidong Zhang<br>
<em>Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Main track</em>, <b>IJCAI2019</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='MobiHoc19'>
<font size="3.5" face="times new roman, serif"><b>DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data</b>
[<a href="./resource/19_MobiHoc.pdf" target="_blank">Paper</a>]<br>
<b>Hongfei Xue</b>, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su<br>
<em>Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing</em>, <b>MobiHoc2019</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='MobiCom18'>
<font size="3.5" face="times new roman, serif"><b>Towards Environment Independent Device Free Human Activity Recognition</b>
[<a href="./resource/18_MobiCom.pdf" target="_blank">Paper</a>]<br>
Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, <b>Hongfei Xue</b>, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su<br>
<em>Proceedings of the 24th Annual International Conference on Mobile Computing and Networking</em>, <b>MobiCom2018</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='BHI18'>
<font size="3.5" face="times new roman, serif"><b>A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning</b>
[<a href="./resource/18_BHI.pdf" target="_blank">Paper</a>]<br>
Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, <b>Hongfei Xue</b>, Kebin Jia, Aidong Zhang<br>
<em>2018 IEEE EMBS International Conference on Biomedical & Health Informatics</em>, <b>BHI2018</b> </font>
</li>
<p style="margin-top:1px"></p>
<li id='BCB16'>
<font size="3.5" face="times new roman, serif"><b>Risk Factor Analysis Based on Deep Learning Model</b>
[<a href="./resource/16_BCB.pdf" target="_blank">Paper</a>]<br>
Qiuling Suo, <b>Hongfei Xue</b>, Jing Gao, Aidong Zhang<br>
<em>Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</em>, <b>BCB2016</b> </font>
</li>
</ul>
<h2>Teaching Experiences</h2>
I used to serve as teaching assistant for the following courses:
<ul>
<li>
CSE250: Data Structures (2019 Spring)
</li>
<li>
CSE574: Introduction to Machine Learning (2018 Fall)
</li>
<li>
CSE574: Introduction to Machine Learning (2018 Spring)
</li>
<li>
CSE601: Data Mining and Bioinformatics (2017 Fall)
</li>
<li>
CSE113: Introduction to Computer Science (2016 Spring)
</li>
<li>
CSE535: Introduction to Information Retrieval (2015 Fall)
</li>
</ul>
<h2>Rewards</h2>
<ul>
<li>
<em>CSE PhD Best Research Award 2020</em>, Dec. 2020
</li>
</ul>
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