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<!DOCTYPE html>
<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta content="IE=5.0000" http-equiv="X-UA-Compatible">
<meta name="description" content="Jialiang Wang's Homepage">
<link href="wfdoc.css" rel="stylesheet" type="text/css">
<title>Jialiang Wang's Homepage</title>
<meta name="GENERATOR" content="MSHTML 11.00.10570.1001">
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
</head>
<script>
function hideshow(x) {
// var x = document.getElementById("toolbox_cite");
if (x.style.display === "none") {
x.style.display = "block";
} else {
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<body>
<div id="layout-content" style="margin-top: 25px;">
<table>
<tbody>
<tr>
<td>
<img width="180" src="figs/photo.jpeg" border="1">
</td>
<td width="100"></td>
<td width="670">
<div id="toptitle">
<h1>Jialiang Wang 王嘉良</h1></div>
<p>Ph.D. student
<br>Computer Science and Technology
<!-- <br>School of Computer Science and Technology -->
<br>Harbin Institute of Technology
<br>
<br> 📧: <code> cswjl[at]stu.hit.edu.cn</code>
<br> <b><a href="https://github.com/jia-liang-wang">Github</a></b>
<br></p>
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</table>
<!-- <div id="layout-content" style="margin-top: 25px;"> -->
<h2>Biography</h2>
<p> I am a Ph.D. student at Harbin Institute of Technology, advised by <b><a href="https://homepage.hit.edu.cn/xmliu">Prof. Xianming Liu</a></b> and <b><a href="https://hitcszx.github.io/">Dr. Xiong Zhou</a></b>.
I received my B.E. from Dalian University of Technology in 2023.
My research interest is trustworthy machine learning.</p>
<!-- <h2>Experience</h2>
<ul>
<li>
Sep.2023 - Now , <i>Research Intern</i>, <b><a href="https://www.shlab.org.cn/"> Shanghai AI Lab</a></b>
</li>
<li>
May.2022 - Aug.2023 , <i>Research Intern</i>, <b><a href="https://research.megvii.com/">Megvii Research</a></b>
</li>
<li>
Aug.2021 - Oct.2021, <i> Software Dev Engineer Intern</i>, <b><a href="https://www.alibabagroup.com/">Alibaba</a></b>
</li>
</ul> -->
<h2>Publications</h2>
* Equal contribution
<table>
<tbody>
<tr height="180">
<td><img src="figs/v_laplace.jpg" border="1" width="220"></td>
<td width="30"></td>
<td valign="middle"><p><strong>Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data</strong><br>
Xiong Zhou, Xianming Liu, Hao Yu, <strong>Jialiang Wang</strong>, Zeke Xie, Junjun Jiang, Xiangyang Ji<br>
<i>International Conference on Learning Representations <b>(ICLR)</b> 2024<br></i>
<b><a href="https://openreview.net/forum?id=yeeVBMDAwy">Paper</a><b> |
<b><a href="https://openreview.net/forum?id=yeeVsBMDAwy">Code</a><b>
</p></td>
</tr>
<!-- <tr><br></tr> -->
<tr height="150">
<td><img src="figs/eps_softmax.png" border="1" width="220"></td>
<td width="30"></td>
<td valign="middle"><p><strong>\(\epsilon\)-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise</strong><br>
<strong>Jialiang Wang*</strong>, Xiong Zhou*, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu<br>
<i>Annual Conference on Neural Information Processing Systems <b>(NeurIPS)</b> 2024<br></i>
<b><a href="https://neurips.cc/virtual/2024/poster/93191">Paper</a><b> |
<b><a href="https://github.com/jia-liang-wang/eps-softmax">Code</a><b>
</p></td>
</tr>
</tbody>
</table>
<h2>Service</h2>
<ul>
<li>
Reviewer: NeurIPS 2024, ICLR 2025
</li>
</ul>
<h2>Selected Awards</h2>
<ul>
<li>
Outstanding graduate of Dalian University of Technology, 2023
</li>
</ul>
<br>
<p style="text-align: right;">Last update: 2024/10</p>
</div></body></html>