[Github]
[CV]

E-mail:

Kaiwen Li

Hi, I am currently a second-year PhD student at Medical Intelligence Laboratory (MILab), Peking University, under the supervision of Assistant Professor Yanye Lu. At MILab, my research focuses on the development of multimodal large language models, exploring their applications in medicine, and weak supervision for computer vision tasks. I received my master’s degree from University of Electronic Science and Technology of China, advised by Professor Zhao Wang at the Biomedical Imaging and Vision (BIV) Lab. My research aimed to leverage artificial intelligence to analyze clinical images and data for improved diagnostic and therapeutic decision, as well as to design and implement novel medical imaging systems.

My research interests include but are not limited to:

  • Multimodal large language models
  • Controllable image generation algorithms
  • Weakly supervised learning
  • Medical image analysis

Publications

Points-supervised fundus vessel segmentation via shape priors and contrastive learning
Kaiwen Li, Hangzhou He, Shuang Zeng, Xinliang Zhang, Yuanwei Li, Lei Zhu, Yanye Lu,
IEEE Transactions on Medical Imaging,44(12),5038-5050,2025
Seeking Interpretable Keypoint Detection and Discriminative Description for Cross-modal Fundus Image Registration
Kaiwen Li, Hangzhou He, Shuang Zeng, Ourui Fu, Xinliang Zhang, Yuanwei Li, Lei Zhu, Yanye Lu,
IEEE Transactions on Medical Imaging (Submitted)
Unpaired cross-domain controllable fundus dataset generation for multiple downstream tasks
Kaiwen Li, Hangzhou He, Jiakui Hu, Zhengjian Yao, Ourui Fu, Yuanwei Li, Lei Zhu, Yanye Lu,
ECCV2026 (In preparation)
Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration
Zhengjian Yao, Jiakui Hu, Kaiwen Li, Hangzhou He, Xinliang Zhang, Shuang Zeng, Lei Zhu, Yanye Lu,
IEEE Transactions on Pattern Analysis and Machine Intelligence (Submitted)
Inter- and Intra-image Refinement in Few Shot Segmentation
Ourui Fu, Hangzhou He, Kaiwen Li, Xinliang Zhang, Lei Zhu, Shuang Zeng, Zhaoheng Xie, Yanye Lu,
IEEE Transactions on Image Processing (Submitted)
Point-supervised Nuclei Segmentation with Prompt-guided Superpixel
Yuanwei Li, Xinliang Zhang, Shuang Zeng, Hangzhou He, Kaiwen Li, Jiakui Hu, Lei Zhu, Yanye Lu,
IEEE Transactions on Image Processing (Submitted)
Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context
Jiakui Hu, Jialun Liu, Liying Yang, Xinliang Zhang, Kaiwen Li, Shuang Zeng, Yuanwei Li, Haibin Huang, Chi Zhang, Yanye Lu,
CVPR2026 (Submitted)
Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
Hangzhou He, Lei Zhu, Kaiwen Li, Xinliang Zhang, Jiakui Hu, Ourui Fu, Zhengjian Yao, Yanye Lu,
ICLR2026 (Submitted)
Improve retinal artery/vein classification via channel coupling
Shuang Zeng, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu,
Expert Systems with Applications,130795,2025
Training-Free Test-Time Improvement for Explainable Medical Image Classification
Hangzhou He, Jiachen Tang, Lei Zhu, Kaiwen Li, Yanye Lu,
MICCAI2025,Spotlight
Investigation of Short-term Crystalline Lens Positional Shifts Following ICL Implantation Using SS-OCT Integrated With Multi-task Deep Learning
Zhengwei Zhang, Kaiwen Li, Zhao Wang, Jinhan Yao, Shuimiao Chang, Jiewei Liu, Xiaogang Wang,
Journal of Refractive Surgery,41(6), e569-e574, 2025
IOL tilt and decentration: a comparison of different haptic designs using CNN and SS-OCT in a short term
Jinhan Yao, Kaiwen Li, Feiyan Chai, Jingjing Wang, Zhao Wang, Xiaogang Wang,
Frontiers in Medicine, Accepted
Visible light optical coherence tomography for assessing retinal structure and function in diseased mouse models
Qianyue Gu, Wenbo Xiu, Songzhi Wu, Kaiwen Li, Baihan Li, Zhenfei Tang, Chenlu Yan, Xiaogang Wang, Chong He, Fang Lu, Zhao Wang,
Biomedical Optics Express,16(5),2077-2092,2025
Comprehensive Assessment of Anterior Segment in Refraction Corrected OCT Based on Multitask Learning
Kaiwen Li, Guangqian Yang, Shuimiao Chang, Jinhan Yao, Chong He, Fang Lu, Xiaogang Wang, Zhao Wang
Biomedical Optics Express,14(8),3968-3987,2023
[Project]
Multi-Dimensional Features Fusion of Heterogeneous Data for Predicting the Frequencies of Drug Side Effects
Kaiwen Li, Chunchun Wang, Li Zhang, Xing Chen
Briefings in Bioinformatics (Under review)
[Project]
Automatic measurement of anterior chamber angle parameters in AS-OCT images using deep learning
Guangqian Yang, Kaiwen Li, Jinhan Yao, Shuimiao Chang, Chong He, Fang Lu, Xiaogang Wang, Zhao Wang
Biomedical Optics Express,14(4),1378-1392,2023
[Project]
Comprehensive Assessment of Coronary Calcification in Intravascular OCT Using a Spatial-Temporal Encoder-Decoder Network
Chao Li, Haibo Jia, Jinwei Tian, Chong He, Fang Lu, Kaiwen Li, Yubin Gong, Sining Hu, Bo Yu, Zhao Wang
IEEE TRANSACTIONS ON MEDICAL IMAGING,41(4),857-868,2021
NSCGRN: a network structure control method for gene regulatory network inference
Wei Liu, Xingen Sun, Li Yang, Kaiwen Li, Yu Yang, Xiangzheng Fu
Briefings in Bioinformatics,23(5),2022
Coronary artery calcification and cardiovascular outcome as assessed by intravascular OCT and artificial intelligence
Jinwei Tian, Chao Li, Zhifeng Qin, Yanwen Zhang, Qinglu Xu, Yuqi Zheng, Xiangyu Meng, Peng Zhao, Kaiwen Li, Suhong Zhao, Shan Zhong, Xinyu Hou, Xiang Peng, Yuxin Yang, Yu Liu, Songzhi Wu, Yidan Wang, Xiangwen Xi, Yanan Tian, Wenbo Qu, Na Sun, Fan Wang, Yan Wang, Jie Xiong, Xiaofang Ban, Taishi Yonetsu, Rocco Vergallo, Bo Zhang, Bo Yu, Zhao Wang
Biomedical Optics Express,15(8),4438-4452,2024

Selected Honors



Teaching