Mingze Yuan's Homepage

Mingze Yuan

I am a second-year PhD student in computer science at Harvard SEAS, where I am very fortunate to be co-advised by Prof. Na Li and Prof. Quanzheng Li from Harvard Medical School.

Previously, I obtained my B.S. in Statistics and M.S. in Data Science at Peking University, advised by Prof. Bin Dong. I have interned at Alibaba DAMO Academy medical AI lab led by Dr. Le Lu.

Email / Google Scholar / GitHub / CV / LinkedIn

Research

My research interests include generative modeling and its applications in scientific domains, with a focus on AI for drug design. I also have experience in image segmentation and medical image analysis.

	PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models. Mingze Yuan, Pengfei Jin, Na Li, Quanzheng Li NeurIPS workshop in AI4Science, 2025 paper \| arXiv
	RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models Yiqi Tian, Pengfei Jin, Mingze Yuan, Na Li, Bo Zeng, Quanzheng Li NeurIPS, 2025 paper \| arXiv
	Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong Medicine Plus, 2024 paper \| arXiv \| project page
	Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers Jiajia Yuan^, Peng Bao^, Zifan Chen^, Mingze Yuan^, 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 *(^: These authors contributed equally)** The Innovation Medicine, 2023 paper
	Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization Mingze Yuan, 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 CVPR, 2023 Highlight Top 2.5% paper \| arXiv
	Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang MICCAI, 2023 paper \| arXiv
	Unsupervised Image Denoising with Score Function Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li NeurIPS, 2023 arXiv
	Diffusion Model for Generative Image Denoising Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li arXiv preprint, 2023 arXiv

Selected Honors and Awards

Gold Medal, the 32nd China Mathematics Olympid (CMO), 2016
China National Scholarship, Peking University, 2023
Challenge Winner Award (Champion), CrossMoDA, MICCAI 2022

Last update: Sep 2025