Mingze Yuan

I am a first-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.

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Research

My research interests lie in AI for healthcare and generative modeling, particularly applying image segmentation, diffusion models, and LLMs to advance healthcare practices.

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

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

Diffusion Model for Generative Image Denoising
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
arXiv preprint, 2023

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 2024