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* @Author: Jon Barron
* @Date: 2019-05-11 22:15:22
* @Editors: whyisyoung
* @EditTime: 2020-10-23 10:57:25
* @Editors:sheng-qiang
* @EditTime: 2021-02-05 22:39:00
* @LastEditors:Yongchun Zhu
* @LastEditTime: 2022-03-22 23:03:00
* @LastEditors:Beizhe Hu
* @LastEditTime: 2024-3-29
-->
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<title>Beizhe Hu's Homepage</title>
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<body>
<table width="960" border="0" align="center" cellspacing="0" cellpadding="0">
<tr>
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<!-- Intro Begin -->
<table width="100%" align="left" border="0" cellspacing="0" cellpadding="12" style="table-layout:fixed;">
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<col span="1" style="width: 23%;">
<col span="1" style="width: 77%;">
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<img style="border-radius:50%;" src="images/hubeizhe_new.png" height="170px">
</td>
<td valign="middle">
<p align="left">
<name>Beizhe Hu 胡焙哲</name>
</p>
<p>
I am a 3rd-year PhD candidate under the supervision of Prof. <a href="https://scholar.google.com.hk/citations?user=fSBdNg0AAAAJ&hl=zh-CN&oi=ao">Juan Cao</a> at <a href="http://www.ict.ac.cn/">Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS)</a>. My research interests include:
</p>
<ul>
<li>Fake News/Misinformation Detection and Fact-Checking</li>
<li>Natural Language Understanding and Data Mining</li>
<li>AI Safety and AI for Safety</li>
</ul>
<p align=left>Contact: hubeizhe21s [AT] ict [dot] ac [dot] cn</p>
<p align=left>
<a href="https://github.com/beanandrew"> GitHub </a> /
<a href="https://scholar.google.com/citations?user=vPCpi_kAAAAJ"> Google Scholar </a> /
<a href="https://dblp.org/pid/350/0158.html"> DBLP </a>
</p>
</td>
</tr>
</table>
<!-- Intro End -->
<!-- News Begin -->
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="12">
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<td>
<heading>News</heading>
</td>
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<col span="1" style="width: 23%;">
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08/2025
</td>
<td valign="center">
Two co-authored papers got accepted by CIKM 2025.
</td>
</tr>
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<td valign="center">
08/2025
</td>
<td valign="center">
Invited to serve as a PC member for AAAI 2026.
</td>
</tr>
<tr>
<td valign="center">
04/2025
</td>
<td valign="center">
One first-authored paper got accepted by SIGIR 2025.
</td>
</tr>
<tr>
<td valign="center">
12/2024
</td>
<td valign="center">
Invited to serve as a PC member for WWW 2025.
</td>
</tr>
<tr>
<td valign="center">
07/2024
</td>
<td valign="center">
One co-authored paper got accepted by CIKM 2024.
</td>
</tr>
<tr>
<td valign="center">
04/2024
</td>
<td valign="center">
One co-authored paper got accepted by IJCAI 2024.
</td>
</tr>
<tr>
<td valign="center">
02/2024
</td>
<td valign="center">
Invited to serve as a Reviewer for ACL Rolling Review.
</td>
</tr>
<tr>
<td valign="center">
12/2023
</td>
<td valign="center">
One first-authored paper got accepted by AAAI 2024.
</td>
</tr>
<tr>
<td valign="center">
05/2023
</td>
<td valign="center">
One first-authored paper got accepted by ACL 2023.
</td>
</tr>
<td>
</td>
</tr>
</table>
<!-- News End -->
<!-- Publications Begin -->
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="12">
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<td>
<heading>Publications</heading>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellpadding="12" style="table-layout:fixed;">
<!-- <colgroup>
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<td>
<subheading>Preprint</subheading>
</td>
<!-- <tr>
<td valign="center">
<b>Understanding News Creation Intents: Frame, Dataset, and Method</b>
<br>
<a class="black" href="https://scholar.google.com/citations?user=fMCBAt4AAAAJ">Zhengjia Wang</a>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="#">Silong Su</a>, <a class="black" href="">Yifan Sun</a>, <span class="underline">Beizhe Hu</span>, and <a class="black" href="https://siyuanma.org/">Siyuan Ma</a>
<br>
<a href="https://arxiv.org/pdf/2312.16490">arXiv:2312.16490</a>
</td>
</tr> -->
<tr>
<td valign="center">
<b>PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning</b>
<br>
<a class="black" href="https://scholar.google.com/citations?user=xAw_fukAAAAJ">Yuhui Shi</a>, <a class="black" href="http://undground.fun">Yehan Yang</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=RxULDkAAAAAJ">Hao Mi</a>, <span class="underline">Beizhe Hu</span>, <a class="black" href="https://scholar.google.com/citations?user=0z9o2CIAAAAJ">Chaoxi Xu</a>, and <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>
<br>
<a href="https://arxiv.org/abs/2506.15683">Preprint</a>
</td>
</tr>
<td>
<subheading>2025</subheading>
</td>
<tr>
<td valign="center">
<span class="tag">[CIKM 2025]</span> Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
<br>
<a class="black" href="https://zhengjiawa.github.io/">Zhengjia Wang</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>, <span class="underline">Beizhe Hu</span>, and <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>
<br>
<i>Proceedings of the 34th ACM International Conference on Information and Knowledge Management</i>
<br>
<a href="https://arxiv.org/abs/2509.01660">Preprint</a> /
<a href="https://doi.org/10.1145/3746252.3761400">Paper</a> /
<a href="https://mp.weixin.qq.com/s/N4veR9fy1rhHtrormOVfYg">Chinese Blog</a>
<br>
<span class="tldr">TL;DR: We propose to inject intent information with graph-based joint learning into fake news detection. </span>
</td>
</tr>
<tr>
<td valign="center">
<span class="tag">[CIKM 2025]</span> Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
<br>
<a class="black" href="https://scholar.google.com/citations?user=i9SLGsEAAAAJ">Yuyan Bu</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="#">Shaofei Wang</a>, <a class="black" href="https://scholar.google.com/citations?user=cJ85jdEAAAAJ">Peng Qi</a>, <a class="black" href="https://scholar.google.com/citations?user=xAw_fukAAAAJ">Yuhui Shi</a>, and <span class="underline">Beizhe Hu</span>
<br>
<i>Proceedings of the 34th ACM International Conference on Information and Knowledge Management</i>
<br>
<a href="https://arxiv.org/abs/2510.04024">Preprint</a> /
<a href="https://doi.org/10.1145/3746252.3760933">Paper</a> /
Media Coverage: <a href="https://mp.weixin.qq.com/s/t9RNvAhscjDPrz3q8_K2ZA"> 52CV</a>
<br>
<span class="tldr">TL;DR: We propose AgentAug, which simulates the creative process of fake news videos using LLMs to mitigate the data scarcity issue. </span>
</td>
</tr>
<tr>
<td valign="center">
<span class="tag">[SIGIR 2025]</span> <papertitle> LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation</papertitle>
<br>
<span class="underline">Beizhe Hu</span>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="https://scholar.google.com/citations?user=D09OAbQAAAAJ">Yang Li</a>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>
<br>
<i>Proceedings of The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval</i>
<br>
<a href="https://arxiv.org/abs/2504.20013">Preprint</a> /
<a href="https://doi.org/10.1145/3726302.3730027">Paper</a> /
<a href="https://beanandrew.github.io/projects/TruthDecay">Project Page</a>
<br>
<span class="tldr">TL;DR: We reveal the truth-decay phenomenon where real news gradually loses its top-ranked advantage against fake news when LLM-generated news penetrates. </span>
</td>
</tr>
<td>
<subheading>2024</subheading>
</td>
<tr>
<td valign="center">
<span class="tag">[CIKM 2024]</span> <papertitle> Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models</papertitle>
<br>
<a class="black" href="https://scholar.google.com/citations?user=ZKGK1AIAAAAJ">Qiong Nan</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>,<span class="underline">Beizhe Hu</span>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>, and <a class="black" href="http://www.ict.ac.cn/sourcedb/cn/jssrck/200909/t20090917_2496657.html">Jintao Li</a>
<br>
<i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management </i>
<br>
<a href="https://arxiv.org/pdf/2405.16631">Preprint</a> /
<a href=" https://doi.org/10.1145/3627673.3679519">Paper</a> /
<a href="https://github.com/ICTMCG/GenFEND">GitHub Repo</a> /
<a href="https://mp.weixin.qq.com/s/ClcpdlO3iZPcnm_v_ryHLA">Chinese Blog</a>
<br>
<span class="tldr">TL;DR: We prompt LLMs to role-play social media users to obtain generated comments for enhancing fake news detection. </span>
</td>
</tr>
<tr>
<td valign="center">
<span class="tag">[IJCAI 2024]</span> <papertitle>Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling</papertitle>
<br>
<a class="black" href="https://scholar.google.com/citations?user=xAw_fukAAAAJ">Yuhui Shi</a>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="#">Hao Mi</a>, <span class="underline">Beizhe Hu</span>, and <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>
<br>
<i>Proceedings of the 33rd International Joint Conference on Artificial Intelligence
</i>
<br>
<a href="https://arxiv.org/pdf/2402.09199">Preprint</a> /
<a href="https://github.com/ICTMCG/POGER">GitHub Repo</a> /
<a href="https://mp.weixin.qq.com/s/2-cWJAxvOuGanR6wo6J9jQ">Chinese Blog</a>
<br>
<span class="tldr">TL;DR: To detect and attribute text generated by black-box LMs, we estimate their generation probabilities of representative words guided by a white-box proxy LM to obtain a strong feature. </span>
</td>
</tr>
<tr>
<td valign="center">
<span class="tag">[AAAI 2024]</span> <papertitle>Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection</papertitle>
<br>
<span class="underline">Beizhe Hu</span>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="https://scholar.google.com/citations?user=xAw_fukAAAAJ">Yuhui Shi</a>, <a class="black" href="https://scholar.google.com/citations?user=D09OAbQAAAAJ">Yang Li</a>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>, and <a class="black" href="http://pengqi.site/">Peng Qi</a>
<br>
<i>Proceedings of the 38th AAAI Conference on Artificial Intelligence</i>
<br>
<a href="https://arxiv.org/pdf/2309.12247">Preprint</a> /
<a href="https://doi.org/10.1609/aaai.v38i20.30214">Paper</a> /
<a href="https://github.com/ICTMCG/ARG">GitHub Repo</a> /
<a href="https://underline.io/lecture/94054-bad-actor-good-advisor-exploring-the-role-of-large-language-models-in-fake-news-detection">English Video & Slides</a>
<br>
<span class="tldr">TL;DR: Large LMs generally underperform fine-tuned Small LMs for fake news detection, but they can be good advisors by providing rationales. </span>
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<subheading>2023</subheading>
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<td valign="center">
<span class="tag">[ACL 2023]</span> <papertitle>Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection</papertitle>
<br>
<span class="underline">Beizhe Hu</span>, <a class="black" href="https://scholar.google.com/citations?user=8BEUQ9UAAAAJ">Qiang Sheng</a>, <a class="black" href="https://scholar.google.com/citations?user=fSBdNg0AAAAJ">Juan Cao</a>, <a class="black" href="https://scholar.google.com/citations?user=iKUIgeQAAAAJ">Yongchun Zhu</a>, <a class="black" href="https://scholar.google.com/citations?user=hGZwK0cAAAAJ">Danding Wang</a>, <a class="black" href="https://zhengjiawa.github.io/">Zhengjia Wang</a>, and <a class="black" href="https://scholar.google.com/citations?user=iv22mK4AAAAJ">Zhiwei Jin</a>
<br>
<i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>
<br>
<a href="https://arxiv.org/pdf/2306.14728.pdf">Preprint</a> /
<a href="https://aclanthology.org/2023.acl-industry.13.pdf">Paper</a> /
<a href="data/FTT-Poster.pdf">Poster</a> /
<a href="data/FTT-Slides no video.pdf">Slides</a>
<br>
<span class="tldr">TL;DR: We propose to address the temporal shift issue in real-world fake news detection systems via forecasting topic-level trends and accordingly adjusting the detector update strategy.</span>
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2022/10/21
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I gave a talk on Securing the World with Reliable AI From a Distribution Perspective at Illinois Institute of Technology.
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2022/7/21
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I gave a talk on Transfer Learning and its Application at Baidu.
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2022/7/20
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I gave a talk on Transfer Learning and its Application at HUAWEI.
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2021/12/1
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I gave a talk on Recommender System at the big data course of Beihang University.
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2021/11/17
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I gave a talk on MetaHeac at AI TIME Live.
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Conf. Reviewer/PC Member
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TheWebConf (WWW)
<a class="black" href="https://www2025.thewebconf.org/">2025</a>
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AAAI 2026
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<!-- <br> -->
TheWebConf (WWW) 2025
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<!-- <br> -->
<a class="black" href="https://aclrollingreview.org/people">ACL Rolling Review (Feb. 2024~)</a>
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Journal Reviewer
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IPM
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TOIS
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TKDE
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TNNLS
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FCS
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Social Network Analysis and Mining
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Multimedia Systems
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ByteDance
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E-commerce Platform Governance Department, ByteDance, Beijing, China. (2022/03~2022/08)
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<span class="tldr">NLP Algorithm Engineer</span>
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2024-
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Ph.D in Computer Science and Technology (Candidate)
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<span><a class="black" href="https://www.ucas.ac.cn/">University of Chinese Academy of Sciences</a> (Cultivation Unit: <a class="black" href="http://www.ict.ac.cn/">Institute of Computing Technology</a>, <a class="black" href="http://www.cas.cn/">Chinese Academy of Sciences</a>)</span>
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2021-2024
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M. E. in Computer Technology
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<span><a class="black" href="https://www.ucas.ac.cn/">University of Chinese Academy of Sciences</a> (Cultivation Unit: <a class="black" href="http://www.ict.ac.cn/">Institute of Computing Technology</a>, <a class="black" href="http://www.cas.cn/">Chinese Academy of Sciences</a>)</span>
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2017-2021
</td>
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B. E. in Software Engineering
<br>
<span>School of Computer Science and Technology, <a class="black" href="https://www.xidian.edu.cn/">Xidian University</a></span>
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2024
</td>
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Pacemaker to Merit Student of UCAS, UCAS
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2023
</td>
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National Scholarship, Ministry of Education of China
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2023
</td>
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First-Class Academic Scholarship, University of Chinese Academy of Sciences
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2023
</td>
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Merit Student, University of Chinese Academy of Sciences
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2019, 2020
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First-Class Academic Scholarship, Xidian University
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2018, 2021
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Second-Class Scholarship, Xidian University
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2018
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<td>
First Prize, Green Computing Innovation Competition
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Design: <a href="https://jonbarron.info/" target="_blank" style="color: #777; font-size: 14px;">Jon Barron</a>, <a href="https://liminyang.web.illinois.edu/ " target="_blank" style="color: #777; font-size: 14px;">Limin Yang</a>, <a href="https://sheng-qiang.github.io/" target="_blank" style="color: #777; font-size: 14px;">Qiang Sheng</a>
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