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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1Postdoctoral Researcher
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12Visiting Students
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4Assistants
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 300+ papers, which have been cited more than 26,000 times with an h-index of 81. 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).
International Journal of Computer Vision
Multi-source Domain Adaptation by Causal-guided Adaptive Multimodal Diffusion Networks
Ziyun Cai, Yawen Huang, Tengfei Zhang, Yefeng Zheng & Dong Yue
Pattern Recognition
GAD: Domain Generalized Diabetic Retinopathy Grading by Grade-Aware De-stylization
Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
Proc. AAAI Conf. Artificial Intelligence, 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Q. Liu, X. Wu, W. Wang, Y. Wang, Y. Zhu, X. Zhao, F. Tian, and Y. Zheng
Proc. the Web Conference, 2025
How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs (In Press)
Z. Zhang, Z. Lin, Y. Zheng, and X. Wu
NAACL 2025
A Layered Debating Multi-Agent System for Similar Disease Diagnosis (In Press)
Y. Zhao, H. Wang, Y. Zheng, and X. Wu
IEEE Transactions on Medical Imaging, 2025
Adaptive Weighting based Metal Artifact Reduction in CT Images
H. Wang, Y. Wu, D. Wei, X. Wu, Y. Wang, J. Ma, and Y. Zheng
Nature Reviews Bioengineering, 2025
Application of Large Language Models in Medicine (In Press)
F. Liu, H. Zhou, B. Gu, X. Zou, J. Huang, J. Wu, Y. Li, S. Chen, Y. Hua, P. Zhou, J. Liu, C. Mao, C. You, X. Wu, Y. Zheng, L. Clifton, Z. Li, J. Luo, and D. Clifton
International Journal of Computer Vision
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions
Y. Huang, H. Huang, H. Zheng, Y. Li, F. Zheng, X. Zhen, and Y. Zheng
IEEE Transactions on Pattern Analysis and Machine Intelligence
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting
Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, and David A. Clifton
npj Digital Medicine 2024
A Multimodal Multidomain Multilingual Medical Foundation Model for Zero Shot Clinical Diagnosis
F. Liu, Z. Li, Q. Yin, J. Huang, X. Wu, A. Thakur, K. Branson, P. Schwab, B. Yin, Y. Zheng, J. Luo, and D. Clifton
Paper “Artificial Intelligence Assisted Detection of Nasopharyngeal Carcinoma on Endoscopic Images: A National Multi-Center Evidence Study" has been accepted to Lancet Digital Health.
Paper “NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation” has been accepted to CVPR. Congratulations to Qi Bi!
Paper “GAD: Domain Generalized Diabetic Retinopathy Grading by Grade-Aware De-stylization” has been accepted to Pattern Recognition. Congratulations to Qi Bi!
Paper “Multi-source Domain Adaptation by Causal-guided Adaptive Multimodal Diffusion Networks" has been accepted to International Journal of Computer Vision.
Paper “Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation” has been accepted to International Conference on Information Processing in Medical Imaging, 2025.
Paper "LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation" got accepted by Proc. AAAI Conf. Artificial Intelligence 2025. Congrats to all co-authors.
Paper "How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs" got accepted by Proc. the Web Conference 2025. Congrats to all co-authors.
Paper "A Layered Debating Multi-Agent System for Similar Disease Diagnosis" got accepted by NAACL 2025. Congrats to all co-authors.
Paper "Adaptive Weighting based Metal Artifact Reduction in CT Images" got accepted by IEEE Transactions on Medical Imaging 2025. Congrats to all co-authors.
Paper "Application of Large Language Models in Medicine" got accepted by Nature Reviews Bioengineering 2025. Congrats to 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.