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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Mingda Wan</title>
<meta name="author" content="Mingda Wan">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="shortcut icon" href="images/scholar_bachelor_avatar.jpg" type="image/x-icon">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<!-- About Me -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:63%;vertical-align:middle">
<p class="name" style="text-align: center;">
Mingda Wan
</p>
<br>
<h2>About Me</h2>
<p>
Hi! I am Mingda Wan(万明达), a fourth-year undergraduate student at Anhui University.
</p>
<p>
Previously, I was fortunate to be advised by <a href="https://scholar.google.com/citations?user=yDZct7UAAAAJ&hl=en"> <strong>Zhao Song</strong> </a> at UC Berkeley, <a href="https://pages.cs.wisc.edu/~yliang/"> <strong>Yingyu Liang</strong> </a> and <a href="https://pages.cs.wisc.edu/~zhmeishi"> <strong>Zhenmei Shi</strong> </a> at UW–Madison, for machine learning theory and generative modeling.
</p>
<p>
Currently, I am looking for further research opportunities and a <strong>PhD</strong> position in <strong>Fall 2025</strong> or <strong>Spring 2026</strong>. If you believe I align with your research interests, please feel free to reach out via email.
</p>
<p style="text-align:center">
<a href="mailto:dylan.r.mathison@gmail.com">Email</a> /
<a href="data/assets/CV.pdf">CV</a> /
<!-- <a href="data/assets/RS.pdf">RS</a> / -->
<a href="https://scholar.google.com/citations?user=HmGg-BQAAAAJ&hl=en">Google Scholar</a> /
<a href="https://github.com/MingdaWan">Github</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/undergraduate.jpg"><img style="width:100%;max-width:100%;object-fit: cover; border-radius: 50%;" alt="profile photo" src="images/undergraduate.jpg" class="hoverZoomLink"></a>
</td>
</tr>
</tbody></table>
<!-- Dream -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<h2>Dream</h2>
<p>
I aspire to provide insightful theoretical analysis of machine learning methods and to leverage those theoretical understanding to guide the design and optimization of future techniques.
</p>
</td>
</tr>
</tbody></table>
<!-- Publications -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:15px 20px;width:100%;vertical-align:middle">
<h2>Publications</h2>
<p>
<span style="text-decoration: underline;">Publications are listed in reverse chronological order, * denote alphabetical order. </span>
</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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<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/lipschitz.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective</span>
<br>
Yingyu Liang*, Zhizhou Sha*, Zhenmei Shi*, Zhao Song*, <strong>Mingda Wan</strong>*, Yufa Zhou*
<br>
<strong>ICCV 2025</strong>
<br>
<a href="data/papers_before_camera_ready_or_arxiv/Unraveling_the_Smoothness_Properties_of_Diffusion_Models_A_Gaussian_Mixture_Perspective.pdf.pdf">Camera Ready Paper Preview</a>
</td>
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</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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<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/sehg.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks</span>
<br>
Zhenhua Huang, Wenhao Zhou, YuFeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan Lü, Feng Xia (Acknowledgements, initiative waived first author)
<br>
<strong>WWW 2025 Oral</strong>
<br>
<a href="https://dl.acm.org/doi/pdf/10.1145/3696410.3714661">Camera Ready Paper</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/nrflow.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">NRFlow: Towards Noise-Robust Generative Modeling via High-Order Flow Matching</span>
<br>
Bo Chen*, Chengyue Gong*, Xiaoyu Li*, Yingyu Liang*, Zhizhou Sha*, Zhenmei Shi*, Zhao Song*, <strong>Mingda Wan</strong>*, Xugang Ye*
<br>
<strong>UAI 2025</strong>
<br>
<a href="data/papers_before_camera_ready_or_arxiv/NRFlow_Towards_Noise-Robust_Generative_Modeling_via_High-Order_Flow_Matching.pdf">Camera Ready Paper Preview</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/softmax.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">Attention Scheme Inspired Softmax Regression</span>
<br>
Zhihang Li*, Zhizhou Sha*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
<strong>ICLR 2025 Workshop</strong>
<br>
<a href="https://openreview.net/pdf?id=po92bv6yRD">Camera Ready Paper</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/matrix.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">An Improved Sample Complexity for Rank-1 Matrix Sensing</span>
<br>
Zhihang Li*, Zhizhou Sha*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
<strong>ICLR 2025 Workshop</strong>
<br>
<a href="https://openreview.net/pdf?id=KifM9aeuDB">Camera Ready Paper</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/homo.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">High-Order Matching for One-Step Shortcut Diffusion Models</span>
<br>
Bo Chen*, Chengyue Gong*, Xiaoyu Li*, Yingyu Liang*, Zhizhou Sha*, Zhenmei Shi*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
<strong>ICLR 2025 Workshop</strong>
<br>
<a href="https://openreview.net/pdf?id=be8vS1Dcix">Camera Ready Paper</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/tc0.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">Theoretical Constraints on the Expressive Power of RoPE-based Tensor Attention Transformers</span>
<br>
Xiaoyu Li*, Yingyu Liang*, Zhenmei Shi*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
arXiv preprint arXiv:2412.18040
<br>
<a href="https://arxiv.org/pdf/2412.18040">arXiv Link</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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<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/hofar.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">HOFAR: High-Order Augmentation of Flow Autoregressive Transformers</span>
<br>
Yingyu Liang*, Zhizhou Sha*, Zhenmei Shi*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
arXiv preprint arXiv:2503.08032
<br>
<a href="https://arxiv.org/pdf/2503.08032">arXiv Link</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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<td align="center" style="padding:20px;width:30%;vertical-align:middle">
<img src="images/form.png" width="200">
</td>
<td style="padding:0px 0px;width:100%;vertical-align:middle" valign="middle">
<span class="papertitle">Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling</span>
<br>
Yang Cao*, Bo Chen*, Xiaoyu Li*, Yingyu Liang*, Zhizhou Sha*, Zhenmei Shi*, Zhao Song* and <strong>Mingda Wan</strong>*
<br>
arXiv preprint arXiv:2502.08150
<br>
<a href="https://arxiv.org/pdf/2502.08150">arXiv Link</a>
</td>
</tr>
</tbody></table>
<!-- Academic Service -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<h2>Academic Service</h2>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px 20px;width:100%;vertical-align:middle">
<span class="papertitle">External Reviewer</span>
<br>
<a href="https://www.ugc.edu.hk/eng/rgc/index.html">Research Grants Council (Hong Kong)</a>
</td>
</tr>
<tr>
<td style="padding:10px 20px;width:100%;vertical-align:middle">
<span class="papertitle">Reviewer</span>
<br>
<a href="https://iccv.thecvf.com">ICCV 2025</a>
<br>
<a href="https://kdd2024.kdd.org">KDD 2024</a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:0px">
<br>
<!-- Clustrmaps -->
<div style="width: 25%;margin-left: auto;margin-right: auto;">
<script type='text/javascript' id='clustrmaps' src='//cdn.clustrmaps.com/map_v2.js?cl=ffffff&w=a&t=n&d=dGxn2BDRU4xawMV81Q9tgayBXM61oQFHvM8a1IWzDI8'></script>
</div>
<!-- Source -->
<p style="text-align:center;font-size:small;">
Design and source code from <a href="https://jonbarron.info/">Jon Barron's homepage</a>.
</p>
</td>
</tr>
</tbody></table>
</td>
</tr>
</table>
</body>
</html>