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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Mingyang Deng</title>
<link href="https://fonts.googleapis.com/css?family=Roboto" rel="stylesheet">
<style>
body {
font-family: 'Roboto', sans-serif;
margin: 0;
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.container {
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img {
width: 160px;
height: 160px;
object-fit: contain;
object-position: center 25%;
border-radius: 8px;
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.intro img {
float: left;
margin-right: 20px;
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</style>
</head>
<body>
<div class="container">
<header>
<h1>Mingyang Deng</h1>
</header>
<main>
<section class="intro">
<img src="./photo.jpg" alt="Mingyang Deng">
<p>Hello! I'm Mingyang Deng, a PhD student at MIT, where I'm fortunate to be advised by
Prof. <a href="https://people.csail.mit.edu/kaiming/">Kaiming He</a>. My research aims to understand and advance the foundations of generative models, with a focus on developing direct, end-to-end generative frameworks such as <a href="projects/drifting/">Drifting Models</a>.
</p>
<p>I earned my undergraduate degree from MIT, double majoring in Mathematics
and Computer Science, where I collaborated with
Prof. <a href="https://people.csail.mit.edu/tommi/">Tommi Jaakkola</a>,
Prof. <a href="https://people.csail.mit.edu/virgi/">Virginia Vassilevska Williams</a>, and
Prof. <a href="https://yufeizhao.com/">Yufei Zhao</a>.</p>
<p>I have interned at Google DeepMind, Meta FAIR, and Pika.</p>
<p> You can contact me at dengm at mit dot edu and
view my resume <a href="resume.pdf">here</a>.
</p>
</section>
<section>
<h2>Selected Awards</h2>
<ul>
<li>Distinguished Donor Fellowship, MIT EECS (Spring 2026)</li>
<li>Gold medal (1st place) @ 45th Annual ICPC World Finals</li>
<li>Putnam Fellow @ 83rd William Lowell Putnam Competition</li>
<li>Gold medal (1st place) @ 33rd International Olympiad in Informatics</li>
<li>Gold medal @ 60th International Mathematical Olympiad</li>
</ul>
</section>
<section>
<h2>Publications</h2>
<ul>
<li>
<div class="publication-title"><a href="http://arxiv.org/abs/2602.04770">Generative Modeling via Drifting</a></div>
<div class="publication-info">Mingyang Deng, He Li, Tianhong Li, Yilun Du, Kaiming He |
Preprint. [<a href="projects/drifting/">Project Page</a>]</div>
</li>
<li>
<div class="publication-title"><a href="https://arxiv.org/abs/2505.13447.pdf">Mean Flows for One-step Generative Modeling</a></div>
<div class="publication-info">Zhengyang Geng, Mingyang Deng, Xingjian Bai, J. Zico Kolter, Kaiming He |
NeurIPS 2025 (Oral). </div>
</li>
<li>
<div class="publication-title"><a href="https://arxiv.org/abs/2406.11838.pdf">Autoregressive
Image Generation without Vector Quantization</a></div>
<div class="publication-info">Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He |
NeurIPS 2024 (Spotlight). </div>
</li>
<li>
<div class="publication-title"><a href="https://arxiv.org/pdf/2306.14878.pdf">Restart Sampling
for Improving Generative Processes</a></div>
<div class="publication-info">Yilun Xu*, Mingyang Deng*, Xiang Cheng*, Yonglong Tian, Ziming
Liu, Tommi Jaakkola | NeurIPS 2023. </div>
</li>
<li>
<div class="publication-title"><a href="https://arxiv.org/abs/2307.06914">Uniform sets with few
progressions via colorings</a></div>
<div class="publication-info">Mingyang Deng*, Jonathan Tidor*, Yufei Zhao* |
Mathematical Proceedings of the Cambridge Philosophical Society.</div>
</li>
<li>
<div class="publication-title"><a
href="https://epubs.siam.org/doi/epdf/10.1137/1.9781611977554.ch114">On Problems Related
to Unbounded SubsetSum: A Unified Combinatorial Approach</a></div>
<div class="publication-info">Mingyang Deng*, Xiao Mao*, Ziqian Zhong* | SODA 2023. </div>
</li>
<li>
<div class="publication-title"><a
href="https://epubs.siam.org/doi/epdf/10.1137/1.9781611977554.ch113">Approximating
Knapsack and Partition via Dense Subset Sums</a></div>
<div class="publication-info"> Mingyang Deng*, Ce Jin*, Xiao Mao* | SODA 2023. </div>
</li>
<li>
<div class="publication-title"><a
href="https://drops.dagstuhl.de/opus/volltexte/2022/16391/pdf/LIPIcs-ICALP-2022-50.pdf">New
Additive Approximations for Shortest Paths and Cycles</a></div>
<div class="publication-info"> Mingyang Deng*, Yael Kirkpatrick*, Victor Rong*, Virginia
Vassilevska Williams*, Ziqian Zhong* | ICALP 2022.</div>
</li>
<li>
<div class="publication-title"><a
href="https://drops.dagstuhl.de/opus/volltexte/2022/16839/pdf/LIPIcs-MFCS-2022-41.pdf">New
Lower Bounds and Upper Bounds for Listing Avoidable Vertices</a></div>
<div class="publication-info"> Mingyang Deng*, Virginia Vassilevska Williams*, Ziqian Zhong* |
MFCS 2022.</div>
</li>
<!-- Add more publications as needed -->
</ul>
</section>
<section id="talks">
<h2>Invited Talks</h2>
<ul>
<li>Google DeepMind, Nano Banana Team (Mar 2026)</li>
<li>Cohere Labs, Guest Speaker Session (Mar 2026)</li>
<li>Delta Institute Podcast (Mar 2026)</li>
<li>Vincent Sitzmann's Group Meeting, MIT (Feb 2026)</li>
<li>Starkly Speaking Seminar (Feb 2026)</li>
<li>Tsinghua University, ML Foundations Reading Group (2026)</li>
</ul>
</section>
</main>
</div>
</body>
</html>