Yuanfeng Ji
AI researcher focused on medical imaging and computer vision. Originally from Chaoshan region, China.
About
Postdoctoral researcher at Stanford University specializing in AI-driven precision medicine. I focus on developing innovative multimodal AI systems for medical imaging, with expertise spanning computer vision, generative models, and medical image analysis. My research bridges the gap between cutting-edge AI technology and real-world clinical applications.
News
GAIA Workshop Proposal Accepted at ICCV 2025
Our workshop proposal 'GAIA: Generative AI for Biomedical Image Analysis - Opportunities, Challenges and Futures' has been accepted at ICCV 2025! Looking forward to bringing together leading researchers to explore the future of generative AI in medical imaging.
Served as an Area Chair for MICCAI 2025
I'm very excited to have the opportunity to contribute to the community!
Two papers accepted by CVPR 2025
Congratulations to my co-authors for their excellent work!
Hiring Internship Positions for AI + Healthcare Research
We are seeking talented students for AI + Healthcare positions, focusing on foundation models, generative models, and large-scale pre-trained datasets. If you are interested, please feel free to contact me!
Joined LiLab as a Postdoctoral Researcher
I completed my Ph.D. in August 2024 and have joined Li Lab at Stanford University as a postdoctoral researcher.
Work Experience
Stanford University
Postdoctoral Researcher
Engaged in AI applications for precision medicine under the guidance of Prof. Ruijiang Li.
Stanford University
Visiting Student Researcher
Engaged in AI applications for precision medicine under the guidance of Prof. Ruijiang Li.
Tencent AI Lab
Research Intern
Led the development of a DrugAI dataset and benchmark for out-of-distribution generalization; developed multi-protein docking algorithms incorporating graph-based deep learning techniques.
SenseTime Research
Research Intern
Developed automated machine learning algorithms for medical image analysis; led the creation of a multi-site abdominal organ segmentation dataset and benchmark.
Imsight Medical Technology
Deep Learning Researcher
Led the development of CAD products implemented in several institutions in Hong Kong, including a chest X-ray diagnostic system detecting 17 lung diseases and a sequencing algorithm optimizing diagnostic queues at medical facilities.
Visual Computing Research Center, Shenzhen University
Research Assistant
Under the supervision of Prof. Hui Huang and Prof. Di Lin, contributed to research on semantic segmentation.
Education
Shenzhen University
Bachelor's Degree in Electronic Information Engineering
City University of Hong Kong
Master's Degree in Electronic Information Engineering
The University of Hong Kong
MPhil in Computer Science
The University of Hong Kong
Ph.D. in Computer Science
Awards & Achievements
Activities
Publications
Towards Interpretable Counterfactual Generation via Multimodal AutoregressionMICCAI25Early Accept
Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He#
Multi-Compound Transformer for Accurate Biomedical Image SegmentationMICCAI21Early Accept
PRSNet: Part Relation and Selection Network for Bone Age AssessmentMICCAI2019Early Accept
Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin
Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang