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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Zirui Wang</title>
<meta name="author" content="Zirui Wang">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="shortcut icon" href="images/favicon/favicon.ico" type="image/x-icon">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
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<p class="name" style="text-align: center;">
Zirui Wang
</p>
<p>I am a first-year master student at the University of Illinois at Urbana-Champaign. Previously, I got my
Bachelor's degree in Computer Science from University of Illinois at Urbana-Champaign under the supervision of Prof.
<a href="https://slazebni.cs.illinois.edu/">Svetlana Lazebnik</a>.
</p>
<p style="text-align:center">
<a href="mailto:ziruiw3@illinois.edu">Email</a> /
<a href="https://github.com/Ziruiwang409/">Github</a> /
<a href="https://www.linkedin.com/in/zirui-wang-b86364223/">LinkedIn</a>
</p>
</td>
<td style="padding:2.5%;width:30%;max-width:30%">
<a href="images/photo.jpg"><img style="width:100%;max-width:100%;" alt="profile photo" src="images/photo.jpg" class="hoverZoomLink"></a>
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<h2>Research</h2>
<p>
My research interest lies in 3D vision and Robotics (Embodied AI).
I'm also intrigued by the emerging properties of multimodal large language models
and hope to adapt them to new and existing downstream tasks in 3D domain.
</p>
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<div class="one">
<img src='images/research/HiMemFormer.png' width="215"></div>
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</td>
<td style="padding:20px;width:70%;vertical-align:top">
<span class="papertitle">HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation</span>
<br>
<strong>Zirui Wang</strong>,
<a href="https://colinzhaoust.github.io/" target="_blank">Xinran Zhao</a>,
<a href="https://simonstepputtis.com/" target="_blank">Simon Stepputtis</a>,
<a href="https://sites.google.com/view/wjkim1202/%ED%99%88" target="_blank">Woojun Kim</a>,
<a href="https://www.cs.cmu.edu/~sherryw/" target="_blank">Tongshuang Wu</a>,
<a href="https://www.cs.cmu.edu/~sycara/" target="_blank">Katia P. Sycara</a>,
<a href="https://yaqi-xie.me/" target="_blank">Yaqi Xie</a>
<br>
<em>NeurIPS Workshop on Video-Language Models</em>, 2024
<br>
[<a href="https://arxiv.org/abs/2411.01455" target="_blank">Paper</a>]
<p></p>
<p>
We propose the Hierarchical Memory-Aware Transformer (HiMemFormer), a novel approach that simultaneously learns feature
representations from both contextual and agent-specified dimensions through a dual-hierarchical framework.
</p>
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<h2>Teaching</h2>
<br>
<a href="https://courses.grainger.illinois.edu/cs440/fa2024/">CS440/ECE448: Artificial Intelligence, Fall 2024</a>
<br>
<a href="https://publish.illinois.edu/safe-autonomy/home-spring-2024-2/">ECE484: Principle of Safe Autonomy, Spring 2024</a>
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<br>
<p style="text-align:center;font-size:small;">
Last Update in November, 2024. Thanks for the amazing template from <a href="https://jonbarron.info/">Jon Barron</a>.
</p>
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