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).
CVPR 2026
Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering
Lin Fan, Yafei Ou , Zhipeng Deng, Pengyu Dai, Chongxian Hou, Jiale Yan, Yaqian Li, Kaiwen Long, Xun Gong, Masayuki Ikebe, Yefeng Zheng
CVPR 2026
Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering
Meihong Pan, Yefeng Zheng
Nature Biomedical Engineering
Towards generalizable AI in medicine via Generalist–Specialist Collaboration
S He, Y Nie, H Wang, S Yang, Y Wang, Z Cai, Z Chen, Y Xu, L Wu, N Cheng, L Luo, H Xiang, X Lin, M Wu, Y Peng, G Shih, Z Xu, X Wu, Q Wang, R Chan, V Vardhanabhuti, X Duan, W Chu, Y Zheng, P Rajpurkar, K Zhang, H Chen
ICLR 2026
Riemannian High-Order Pooling For Brain Foundation Models
Chen Hu, Ziheng Chen, Rui Wang, Yefeng Zheng, Nicu Sebe
ICLR 2026
Regionreasoner: Region-Grounded Multiround Visual Reasoning
Wenfang Sun, Hao Chen, Yingjun Du, Yefeng Zheng, Cees G. M. Snoek
ICLR 2026
Mme-Emotion: A Holistic Evaluation Benchmark For Emotional Intelligence In Multimodal Large Language Models
Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yi-Fan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng
AAAI 2026, oral
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
Pattern Recognition
A lightweight physics-driven dual exposure correction network for endoscopic images
Zhijian Wu, Hong Wang, Yefeng Zheng
IEEE Transactions on Multimedia
SORT-LFR: Revisiting SORT for Multi-Object Tracking in Low-Frame-Rate Videos
Li Zeng, Yawen Huang, Yubei Lin, Ziwei Zhu, Xingming Zhang, Yang Liu, Yuexiang Li, and Yefeng Zheng
npj Digital Medicine
Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution
Z Li, Y Shi, L Wang, J Lu, X Liu, J Woo, J Ouyang, J Hu, D Zhou, W Gong, X Yang, H Yu, Y Wang, F Liu, Y Dong, M Ye, S Shi, X Chen, M Qiu, G El Fakhri, L Kong, X Sun, Y Zheng, Y Shi, H Yu, X Liu
2 papers got accepted by ECCV 2026. Congratulations to Junhao Jia and all co-authors.
Congratulations to sophomore Wenhan Jiang! His first-author paper “Test-Time Adaptation for ECG Classification via SQI-Gated Self-Training and Beat-Rhythm Consistency” was accepted to MICCAI 2026, bringing our lab's total acceptances this year to three.
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!
1 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.
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.