Yuanfeng Ji
Researcher specializing in artificial intelligence applications in medicine, focused on advancing reliable and impactful healthcare technologies.
About
I am dedicated to pioneering AI solutions in medical imaging and computer vision. My work is driven by a commitment to developing robust and trustworthy systems that can contribute to advancements in healthcare diagnostics and treatment planning.
News
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.
Huawei Noah's Ark Lab
Research Intern
Developed AI models for predicting cancer treatment outcomes, focusing on precision medicine.
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
Publications
Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He#
Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin
Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang
Awards & Achievements
Ranked 5th (Gold Medal)
Ranked 3rd
Ranked 87th (Silver Medal)