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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<!-- Hi, Jon Here. Please DELETE the two <script> tags below if you use this HTML, otherwise my analytics will track your page -->
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<title>Mingze Yuan's Homepage</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">
<meta name="author" content="Mingze Yuan">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="stylesheet" type="text/css" href="css/style.css">
<link rel="icon" type="image/png" href="images/harvard_icon.png">
</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<td style="padding:2.5%;width:63%;vertical-align:middle">
<p style="text-align:center">
<name>Mingze Yuan</name>
</p>
<p>I am a first-year PhD student in computer science at <a href="https://seas.harvard.edu">Harvard SEAS</a>, where I am very fortunate to be co-advised by <a href="https://nali.seas.harvard.edu">Prof. Na Li</a> and <a href="https://researchers.mgh.harvard.edu/profile/4211743/Quanzheng-Li">Prof. Quanzheng Li</a> from <a href="https://hms.harvard.edu">Harvard Medical School</a>.</p>
<p>Previously, I obtained my B.S. in Statistics and M.S. in Data Science at <a href="https://english.pku.edu.cn">Peking University</a>, advised by Prof. <a href="http://faculty.bicmr.pku.edu.cn/~dongbin/">Bin Dong</a>. I have interned at <a href="https://damo.alibaba.com/">Alibaba DAMO Academy</a> medical AI lab led by Dr. <a href="https://www.cs.jhu.edu/~lelu/">Le Lu</a>.</p>
<!-- <p>I am a master student of <a href="https://www.ds.pku.edu.cn/">Center for Data Science</a> at Peking University, advised by Prof. <a href="http://faculty.bicmr.pku.edu.cn/~dongbin/">Bin Dong</a>. I work on deep learning in medical image analysis and computer vision. I have been fortunate to intern at <a href="https://damo.alibaba.com/">Alibaba DAMO Academy</a> medical AI lab, led by Dr. <a href="https://www.cs.jhu.edu/~lelu/">Le Lu</a>. Previously, I obtained my B.S. in Statistics at Peking University in 2021.
</p> -->
<p style="text-align:center">
<a href="mailto:mzyuan@pku.edu.cn">Email</a>  / 
<a href="https://scholar.google.com/citations?user=Xt-8KiYAAAAJ">Google Scholar</a>  / 
<a href="https://github.com/mingze-yuan">GitHub</a>  / 
<a href="images/Resume.pdf">CV</a>  / 
<a href="https://www.linkedin.com/in/mingze-yuan-60b070330/">LinkedIn</a>
</p>
</td>
<td style="padding:2.5%;width:30%;max-width:30%">
<a href="images/avatar.jpg"><img style="width:100%;max-width:100%;border-radius:50%" alt="profile photo" src="images/avatar.jpg" class="hoverZoomLink"></a>
</td>
</tr>
</tbody></table>
<!-- <table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<heading>News</heading>
<ul>
<li>[2023/11] One review paper on LLMs in medicine is available at <a href="https://arxiv.org/pdf/2311.01918.pdf">here</a>. </li>
<li>[2023/09] One paper was accepted by <b>NeurIPS 2023</b>.</li>
<li>[2023/08] One paper was accepted by <b>The Innovation Medicine 2023</b>.</li>
<li>[2023/06] Two papers were accepted by <b>MICCAI 2023</b>.</li>
<li>[2023/02] One paper was accepted by <b>CVPR 2023</b> as a <b>Highlight</b>.</li>
<li>[2022/06] I joined Alibaba DAMO Academy as a research intern.</li>
<li>[2022/03] One paper was accepted by <b>IJCAI 2022</b>.</li>
</ul>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Research</heading>
<p>
<!-- My research interests include deep learning, medical image analysis, and computer vision. -->
My research interests lie in AI for healthcare and generative modeling, particularly applying image segmentation, diffusion models, and LLMs to advance healthcare practices.
</p>
</td>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yuan2023devil.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Yuan_Devil_Is_in_the_Queries_Advancing_Mask_Transformers_for_Real-World_CVPR_2023_paper.pdf">
<papertitle>Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization</papertitle>
</a>
<br>
<strong>Mingze Yuan</strong>, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
<br>
<em>CVPR</em>, 2023 <strong>Highlight</strong> <p style="color:red;">Top 2.5%</p>
<br>
</p>
<div class="paper" id="yuan2023devil">
<a href="https://openaccess.thecvf.com/content/CVPR2023/html/Yuan_Devil_Is_in_the_Queries_Advancing_Mask_Transformers_for_Real-World_CVPR_2023_paper.html">paper</a>  |  <a href="https://arxiv.org/abs/2304.00212">arXiv</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yuan2023gastric.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2307.04525.pdf">
<papertitle>Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans</papertitle>
</a>
<br>
<strong>Mingze Yuan</strong>, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang
<br>
<em>MICCAI</em>, 2023
<br>
</p>
<div class="paper" id="yuan2023gastric">
<a href="https://link.springer.com/chapter/10.1007/978-3-031-43904-9_15">paper</a>  |  <a href="https://arxiv.org/abs/2307.04525">arXiv</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/xie2023unsupervised.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2304.08384.pdf">
<papertitle>Unsupervised Image Denoising with Score Function</papertitle>
</a>
<br>
Yutong Xie, <strong>Mingze Yuan</strong>, Bin Dong, Quanzheng Li
<br>
<em>NeurIPS</em>, 2023
<br>
</p>
<div class="paper" id="xie2023unsupervised">
<a href="https://arxiv.org/abs/2304.08384">arXiv</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yuan2023large.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://www.sciencedirect.com/science/article/pii/S2950347724000264">
<papertitle>Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review</papertitle>
</a>
<br>
<strong>Mingze Yuan</strong>, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong
<br>
<em>Medicine Plus</em>, 2024
<br>
</p>
<div class="paper" id="yuan2023large">
<a href="https://www.sciencedirect.com/science/article/pii/S2950347724000264">paper</a>  |  <a href="https://arxiv.org/abs/2311.01918">arXiv</a>  |  <a href="https://github.com/mingze-yuan/Awesome-LLM-Healthcare">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yuan2023advanced.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://www.the-innovation.org/article/doi/10.59717/j.xinn-med.2023.100019">
<papertitle>Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers</papertitle>
</a>
<br>
Jiajia Yuan<sup>*</sup>, Peng Bao<sup>*</sup>, Zifan Chen<sup>*</sup>, <strong>Mingze Yuan</strong><sup>*</sup>, Jie Zhao, Jiahua Pan, Yi Xie, Yanshuo Cao, Yakun Wang, Zhenghang Wang, Zhihao Lu, Xiaotian Zhang, Jian Li, Lei Ma, Yang Chen, Li Zhang, Lin Shen, Bin Dong
<br>
<strong>(<sup>*</sup>: These authors contributed equally)</strong>
<br>
<em>The Innovation Medicine</em>, 2023
<br>
</p>
<div class="paper" id="dong2023improved">
<a href="https://www.the-innovation.org/article/doi/10.59717/j.xinn-med.2023.100019">paper</a>
</div>
</td>
</tr>
<!-- <tr>
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<img src='images/dong2023improved.png'>
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<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2308.00507.pdf">
<papertitle>Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer</papertitle>
</a>
<br>
Hexin Dong, Jiawen Yao, Yuxing Tang, <strong>Mingze Yuan</strong>, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang
<br>
<em>MICCAI</em>, 2023
<br>
</p>
<div class="paper" id="dong2023improved">
<a href="https://link.springer.com/chapter/10.1007/978-3-031-43904-9_24">paper</a>  |  <a href="https://arxiv.org/abs/2308.00507">arXiv</a>
</div>
</td>
</tr> -->
<!-- <tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/dong2022region.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://www.ijcai.org/proceedings/2022/0121.pdf">
<papertitle>Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation</papertitle>
</a>
<br>
Hexin Dong, Zifan Chen, <strong>Mingze Yuan</strong>, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang
<br>
<em>IJCAI</em>, 2022
<br>
</p>
<div class="paper" id="dong2022region">
<a href="https://www.ijcai.org/proceedings/2022/121">paper</a>  |  <a href="https://arxiv.org/abs/2205.08083">arXiv</a>  |  <a href="https://github.com/czifan/RAML">code</a>
</div>
</td>
</tr> -->
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/xie2022diffusion.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2302.02398.pdf">
<papertitle>Diffusion Model for Generative Image Denoising</papertitle>
</a>
<br>
Yutong Xie, <strong>Mingze Yuan</strong>, Bin Dong, Quanzheng Li
<br>
<em>arXiv preprint</em>, 2023
<br>
</p>
<div class="paper" id="xie2022diffusion">
<a href="https://arxiv.org/abs/2302.02398">arXiv</a>
</div>
</td>
</tr>
</tbody></table>
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<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Selected Honors and Awards</heading>
<p>
<!-- My research interests include deep learning, medical image analysis, and computer vision. -->
<!-- My research interests lie in AI for healthcare and generative modeling, particularly applying image segmentation, diffusion models, and LLMs to advance healthcare practices. -->
<ul>
<li>Gold Medal, the 32nd China Mathematics Olympid (CMO), 2016</li>
<li>China National Scholarship, Peking University, 2023</li>
<li>Challenge Winner Award (Champion), CrossMoDA, MICCAI 2022</li>
</ul>
</p>
</td>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
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<td style="padding:0px">
<br>
<p style="text-align:right;">Last update: Sep 2024</p>
<!-- <p style="text-align:right;">Stolen from <a href="https://yucornetto.github.io/">Qihang Yu</a></p> -->
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