Mingze Yuan's Homepage

Mingze Yuan

I am a master student of Center for Data Science at Peking University, advised by Prof. Bin Dong. I work on deep learning in medical image analysis and computer vision. I have been fortunate to intern at Alibaba DAMO Academy medical AI lab, led by Dr. Le Lu. Previously, I obtained my B.S. in Statistics at Peking University in 2021.

Email / Google Scholar / GitHub / CV

News

[2023/11] One review paper on LLMs in medicine is available at here.
[2023/09] One paper was accepted by NeurIPS 2023.
[2023/08] One paper was accepted by The Innovation Medicine 2023.
[2023/06] Two papers were accepted by MICCAI 2023.
[2023/02] One paper was accepted by CVPR 2023 as a Highlight.
[2022/06] I joined Alibaba DAMO Academy as a research intern.
[2022/03] One paper was accepted by IJCAI 2022.

Research

My research pursuits are deeply rooted in computer vision, particularly applying image segmentation, generative models, and foundation models 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 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
	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
	Unsupervised Image Denoising with Score Function Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li NeurIPS, 2023 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 arXiv, 2023 arXiv \| project
	Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang MICCAI, 2023 paper \| arXiv
	Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang IJCAI, 2022 paper \| arXiv \| code
	Diffusion Model for Generative Image Denoising Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li arXiv preprint, 2023 arXiv

Last update: Nov 2023

Stolen from Qihang Yu