We are a group working in medical artificial intelligence, exploring the new technologies and applications of artificial intelligence in healthcare. The following themes outline our current research interest:
Medical image analysis
Medical natural language processing
Bioinformatics
In the end, we are trying to integrate all modalities ( including medical images, patient demographics, clinical notes, and genes ) to develop a large multi-modal model and explore its new applications in healthcare.
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2024Founded
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4Postdoctoral Researcher
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3Ph.D Students
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11Visiting Students
Yefeng Zheng, PH.D.
School of Engineering
Medical Artificial Intelligence Laboratory
Yefeng Zheng was born in the city of Jiangshan, Zhejiang Province, in 1975. He received B.E. and M.E. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China in 1998 and 2001, respectively, and a Ph.D. degree from the Department of Electrical and Computer Engineering, University of Maryland, College Park, USA in 2005. From 2006 to 2017, he worked at Siemens Corporate Research in Princeton, New Jersey, USA on medical image analysis. From 2018 to 2024, he was a Distinguished Scientist and Director of Tencent Jarvis Lab, leading the company's initiative on medical artificial intelligence. He joined Westlake University in July 2024 as a tenured full professor. He has invented 90+ US patents and published 400+ papers, which have been cited more than 35,000 times with an h-index of 93. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE), a Fellow of American Institute for Medical and Biological Engineering (AIMBE), and an Associate Editor of IEEE Transactions on Medical Imaging. He was a Program Co-Chair of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021, served as an area chair for various top conferences in artificial intelligence (e.g., NeurIPS, AAAI, IJCAI, and MICCAI).
NeurIPS 2025
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
Xixian Yong, Xiao Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu
NeurIPS 2025
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
Shurong Yang, Dong Wei, Yihuang Hu, Qiong Peng, Hong Liu, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang
NeurIPS 2025
The Curse of Depth in Large Language Models
Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu
NeurIPS 2025
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi, Huimin Huang, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
NeurIPS 2025
Degradation-aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
NeurIPS 2025
CELLVERSE: Do Large Language Models Really Understand Cell Biology?
Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng
EMNLP 2025, main
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
H. Wang, Y. Zhao, Y. Zheng, and X. Wu
EMNLP 2025, main
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
Z. Zhao, S. Zhang, Z. Wang, H. Wang, Y. Zhao, B. Liang, Y. Zheng, B. Li, K.-F. Wong, and X. Wu
EMNLP 2025, main
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
Z. Zhao, S. Zhang, Y. Zhang, Y. Zhao, Y. Zhang, Z. Wang, H. Wang, Y. Zhao, B. Liang, Y. Zheng, B. Li, K.-F. Wong, and X. Wu
EMNLP 2025, Findings
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding
Z. Lin, Z. Zhang, J. Wu, Y. Zheng, and X. Wu
Paper “IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain” has been accepted to TIP. Congratulations to Hong Huang, Zhijian Wu and all co-authors!
Paper “PRIME: A Pretrained Representation-Induced Model for 3D Molecules in De Novo Binder Design” has been accepted to KDD. Congratulations to Zhihua Tian, Jiale Zhou and all co-authors!
Paper “A Sliced-Wasserstein Framework on Correlation Manifolds for EEG Decoding” has been accepted to KDD. Congratulations to Chen Hu and all co-authors!
Paper “Leveraging Text-Modulated Semantic Guidance for Low-Light Endoscopic Image Enhancement ” has been accepted to IEEE Transactions on Medical Imaging. Congratulations to ZhiJian Wu and all co-authors!
2 papers got accepted by MICCAI 2026. Congratulations to Zhipeng Deng and all co-authors.
Paper “MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts” has been accepted to ICML 2026. Congratulations to Shujun Xia!
Paper “FedSemiDG: Domain Generalized Federated Semi-supervised Medical lmage Segmentation” has been accepted to Medical Image Analysis. Congratulations to Zhipeng Deng!
5 papers (2 for main conference and 3 for findings) got accepted by ACL 2026. Congratulations to Zixuan Huang and all co-authors.
Paper “A Lightweight Physics-Driven Dual Exposure Correction Network for Endoscopic Images” has been accepted to Pattern Recognition. Congratulations to Zhijian Wu!
Paper “Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering” has been accepted to CVPR 2026. Congratulations to Meihong Pan!
The Medical Artificial Intelligence Laboratory at Westlake University currently has multiple openings for PhD students, postdocs, and research assistants, and we welcome motivated applicants to join our research opportunities. Candidates with a background in computer vision, natural language processing, machine learning, or other related fields are encouraged to apply.