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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Jincenzi Wu</title>
<meta name="author" content="Jincenzi Wu">
<meta name="description" content="Computer Engineering, New York University">
<link rel="icon" type="image/png" href="img/Kim.jpg">
<link rel="stylesheet" href="stylesheets/timeline.css" />
<link rel="stylesheet" href="css/mystyles.css">
<link rel="stylesheet" href="css/helpers.css">
<link rel="stylesheet"
href="https://fonts.googleapis.com/css?family=Inconsolata">
<base target="_blank">
<script async defer src="https://buttons.github.io/buttons.js"></script>
<script type="text/javascript" src="js/nav.js"></script>
<script type="text/javascript" src="js/slideshow.js"></script>
</head>
<body>
<div class="container is-max-desktop">
<nav class="navbar is-fixed-top" role="navigation" aria-label="main navigation">
<div class="navbar-brand">
<a role="button" class="navbar-burger" aria-label="menu" aria-expanded="false" data-target="customNavbar">
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
</a>
</div>
<div id="customNavbar" class="navbar-menu">
<div class="navbar-end">
<a class="navbar-item" href="#publications" target="_self">
Publications
</a>
<!-- <a class="navbar-item" href="#projects" target="_self">
Projects
</a> -->
<!-- <a class="navbar-item" href="readings.html">
Readings
</a> -->
<!-- <a class="navbar-item" href="blog.html">
Blog
</a> -->
<a class="navbar-item" href="files/Curriculum Vitae Jincenzi Wu .pdf">
CV
</a>
</div>
</div>
</nav>
</div>
<hr class="hr container is-max-desktop" style="margin-bottom: 0;">
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<h1 class="title is-2">
Jincenzi Wu
</h1>
<h2 class="subtitle">
System Engineering & Engineering Management Ph.D. Student, The Chinese University of Hong Kong
</h2>
</div>
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</a>
</section>
<section class="section has-background-light">
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<figure class="image is-square block">
<img src="img/Kim.jpg">
</figure>
<div class="has-text-centered">
<a class="p-2 text-decoration-none" href="https://github.com/jincenziwu">
<img width="30" height="30" src="img/github.png">
</a>
<a class="p-2 text-decoration-none" href="https://scholar.google.com/citations?user=IfTx_PUAAAAJ&hl=en">
<img width="30" height="30" src="img/scholar.png">
</a>
<a class="p-2 text-decoration-none" href="https://x.com/KKKKKKKKim_">
<img width="30" height="30" src="img/twitter.png">
</a>
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<p class="block">
Welcome! I'm Jincenzi Wu, a 1st year Ph.D. student in the Department of System Engineering & Engineering Management, 🇭🇰<b> The Chinese University of Hong Kong</b>,
supervised by <a href =https://www.se.cuhk.edu.hk/people/academic-staff/prof-meng-mei-ling-helen/> Prof. HELEN, Meiling Meng </a>.
<br>Before that, I worked as a research intern at CoAI affiliate at Tsinghua Univerisity and supervised by
<a href= http://coai.cs.tsinghua.edu.cn/hml class="text-link">Prof. Minlie Huang.</a>
</p>
<p class="block">
My Master's degree in Computer Engineering was earned at 🇺🇸 <b> New York University</b >.
I earned a Bachelor of Science in Software Engineering from 🇨🇳 <b>Southwest University</b> and a Bachelor of Science with Honours in Information Technology from 🇦🇺<b> Deakin University</b>.
I had the wonderful opportunity to work with <a href="https://www.deakin.edu.au/about-deakin/people/lei-pan" class="text-link">Prof. Lei Pan</a> at Deakin University.
</p>
<p class="block">
My research focuses on Natural Language Processing, endowing NLP systems with social intelligence, and applying NLP in healthcare.
</p>
<p class="block">
When I have the time, I enjoy deep diving.
</p>
<p>
Feel free to say hi: <b>jincenziwu at gmail dot com</b>
</p>
</div>
</div>
</div>
</div>
</section>
<hr class="hr container is-max-desktop" style="margin-bottom: 0;">
<section class="section">
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<h1 class="title is-size-4">
News
</h1>
<table class="table is-narrow is-hoverable is-fullwidth is-completely-borderless">
<!-- table content -->
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<tr>
<!-- <td class="has-text-grey">May 2024</td> -->
<b> [08/2024]</b> 🎉Great News! Our paper <a href="https://arxiv.org/pdf/2305.05390"> <b> COKE </b> </a> won the 🏆 <span style="color: red;"><b>Area Chair Paper Award </b></span> (1%) at ACL 2024! Congratulations to all collaborators!🥂
</tr>
<br>
<tr>
<!-- <td class="has-text-grey">May 2024</td> -->
<b> [05/2024]</b> Our papers <a href="https://arxiv.org/pdf/2305.05390"> <b> COKE </b> </a> & <a href="https://arxiv.org/pdf/2402.15052"><b>ToMBench </b></a> are accepted at ACL 2024. See you in Thailand 🇹🇭!
</tr>
</tbody>
</table>
</div>
</section>
<hr class="hr container is-max-desktop" style="margin-bottom: 0;">
<section class="section">
<div class="container is-max-desktop">
<h1 class="title is-size-4">
Research Experience
</h1>
<table class="table is-narrow is-hoverable is-fullwidth is-completely-borderless">
<!-- table content -->
<tbody>
<p>
<b> <span style="color:black">Tsinghua University (The CoAI Group), China 🇨🇳</span></b>
<br> Fields: Theory of Mind, Emotional Support Conversation
<br> <i>Research Intern, 2021.11 - 2023.07</i>
<br> Work with <a href="https://zhuangchen.tech/">Dr. Zhuang Chen</a> and <a href="https://coai.cs.tsinghua.edu.cn/hml">Prof. Minlie Huang </a>
<br>
</p>
<br>
<p>
<b><span style="color:black"> University of Southern California, USA 🇺🇸 </span></b>
<br> Project: Machine Learning
<br> <i>Research Assistant, 2021.05 - 2021.07</i>
<br> Work with <a href="https://viterbi.usc.edu/directory/faculty/Adamchik/Victor"> Prof. Victor Adamchik</a>
<br>
</p>
<br>
<p>
<b><span style="color:black"> The Commonwealth Scientific and Industrial Research Organisation <a href="https://www.csiro.au/en/about/we-are-csiro"> (CSIRO)</a>, Australia 🇦🇺</span></b>
<br> Project: Privacy-preserving Publishing of Linked Data
<br> <i>Research Intern, 2018.11 - 2019.02</i>
</p>
</tbody>
</table>
</div>
</section>
<!-- <hr class="hr container is-max-desktop" style="margin-bottom: 0;"> -->
<section class="section has-background-light" id="publication">
<div class="container is-max-desktop">
<h1 class="title is-size-4">
Selected Publication
</h1>
<br>
<div class="tile is-ancestor">
<div class="tile is-parent">
<div class="card">
<div class="columns">
<figure class="column is-one-quarter project-image-ekf p-0">
<img src="img/COKE_Example.png" alt="dap">
</figure>
<div class="card-content m-3">
<p class="title is-5"><b>COKE: A Cognitive Knowledge Graph for Machine Theory of Mind </b> </p>
<br> <b>Jincenzi Wu*</b>, Zhuang Chen*, Jiawen Deng, Sahand Sabour,Helen Meng, Minlie Huang (* Equal Contribution)
<br>
<b> ACL 2024</b>
<span style="color: red;"><b>(Oral Paper 8%)(Area Chair Award 1%)</b></span>
<br>
<a href="https://arxiv.org/pdf/2305.05390" style="color:rgb(51, 156, 255)"><b> [Paper]</b></a>
<a href="COKE.html" style="color:rgb(51, 156, 255)"><b> [Project]</b> </a>
<a href="https://github.com/KKKKKKKKKKim/COKE" style="color:rgb(51, 156, 255)"><b> [Data&Code]</b></a>
<p>
<!--Domain shifting dynamics is informative for making predictions in a gradually shifting environment. In this project, we propose to directly learn the environment shift dynamics through representation learning. For each domain, our proposed approach learns a Drift-Aware Predictive (DAP) coding, which embeds information helpful for predicting in the next domain, and modulates a base learner (e.g. a classifier in a classification problem) to adapt to the shifted new domain.-->
</p>
<br>
<!-- <a class="button is-light is-link" href="files/542_final_report.pdf">report</a>
<a class="button is-light is-link" href="https://docs.google.com/presentation/d/1l5TQIqFM-f5McTScJp1Sdl3YIrgabwtKpD9VqZumm_s/edit?usp=sharing">slides</a> -->
</div>
</div>
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<div class="tile is-ancestor">
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<div class="card">
<div class="columns">
<figure class="column is-one-quarter project-image-ekf p-0">
<img src="img/ToMBench_Example.png" alt="dap">
</figure>
<div class="card-content m-3">
<b>ToMBench: Benchmarking Theory of Mind in Large Language Models</b>
<br> Zhuang Chen*, <b>Jincenzi Wu*</b>, Jinfeng Zhou*, Bosi Wen*, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang (* Equal Contribution)
<br>
<b> ACL 2024</b>
<a href="https://arxiv.org/pdf/2402.15052" style="color:rgb(51, 156, 255)"><b> [Paper]</b></a>
<a href="" style="color:rgb(51, 156, 255)"><b> [Project]</b></a>
<a href="https://github.com/zhchen18/ToMBench" style="color:rgb(51, 156, 255)"><b> [Data&Code]</b></a>
<p>
<!-- <p>
Domain shifting dynamics is informative for making predictions in a gradually shifting environment. In this project, we propose to directly learn the environment shift dynamics through representation learning. For each domain, our proposed approach learns a Drift-Aware Predictive (DAP) coding, which embeds information helpful for predicting in the next domain, and modulates a base learner (e.g. a classifier in a classification problem) to adapt to the shifted new domain.
</p> -->
<br>
<!-- <a class="button is-light is-link" href="files/542_final_report.pdf">report</a>
<a class="button is-light is-link" href="https://docs.google.com/presentation/d/1l5TQIqFM-f5McTScJp1Sdl3YIrgabwtKpD9VqZumm_s/edit?usp=sharing">slides</a> -->
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<div>
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© Copyright 2020 Anthony Liang.
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