Yuanfeng Ji
AI researcher building foundation models for biomedicine.
Biomedical Foundation Models / Medical Computer Vision / AI Agents
Open to collaborations — email me.
About
Postdoctoral scholar at Stanford University with Prof. Ruijiang Li, developing AI foundation models for biomedicine, with a focus on computational pathology, radiology, and spatial biology. I received my PhD from HKU MMLab in 2024, advised by Prof. Ping Luo. My work spans generative models, vision-language models, and AI agents, translating frontier AI methods into clinically impactful tools for clinical diagnosis, treatment, and biomedical discovery.
See research scope →News
Received a Biswas Family Foundation Fast Grant
Received USD 50,000 from the Biswas Family Foundation to lead the 2026–2027 project“An AI Co-Scientist for Spatial-Proteomics Biomarker Discovery.”
Cell Paper Published
Published a collaborative study in Cell on virtual spatial tumor profiling from histopathology.
nnMIL Accepted in Principle by Nature Biomedical Engineering
nnMIL, a generalizable multiple instance learning framework for computational pathology, was accepted in principle by Nature Biomedical Engineering.
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Two Papers Accepted to ICML 2026
Two collaborative papers were accepted to ICML 2026.
ChexGen Accepted by NEJM AI
ChexGen, a generative foundation model for chest radiography, was accepted by NEJM AI.
GAIA Workshop Opened Its Call for Papers
The GAIA workshop at ICCV 2025 opened its call for papers on medical image generation, vision-language foundation models, and clinical workflow intelligence.
Two Papers Accepted to MICCAI 2025
Two collaborative papers were accepted to MICCAI 2025, including “Towards Interpretable Counterfactual Generation via Multimodal Autoregression” as an Early Accept.
GAIA Workshop Accepted to ICCV 2025
The GAIA workshop proposal was accepted to ICCV 2025 to bring together researchers in generative AI for biomedical image analysis.
Served as an Area Chair for MICCAI 2025
Served as an Area Chair for MICCAI 2025, contributing to the conference review process.
Two Papers Accepted to CVPR 2025
Two collaborative papers were accepted to CVPR 2025.
Joined Li Lab as a Postdoctoral Researcher
Joined Li Lab at Stanford University as a postdoctoral researcher after completing my PhD in August 2024.
Selected Publications
Full publication list →2026
Yuanfeng Ji*, Dan Lin*, …, Ruijiang Li#
2025
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Chenglong Ma*, Yuanfeng Ji*, …, Hongming Shan
Chenglong Ma*, Yuanfeng Ji*, …, Hongming Shan
Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, …, Junjun He#
Previous
Yuanfeng Ji*, Chongjian Ge*, …, Ping Luo
Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo
Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo
Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin
Education
The University of Hong Kong
Ph.D. in Computer Science
The University of Hong Kong
MPhil in Computer Science
City University of Hong Kong
Master's Degree in Electronic Information Engineering
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Shenzhen University
Bachelor's Degree in Electronic Information Engineering
Work Experience
Stanford University
Postdoctoral Researcher
Developing multimodal foundation models and AI agents for computational pathology, radiology, and spatial biology; leading a 2026–2027 Fast Grant project on AI-assisted spatial-proteomics biomarker discovery.
Stanford University
Visiting Student Researcher
Developed generative and vision-language models for precision medicine, with a focus on chest radiography and whole-slide computational pathology.
Huawei Noah's Ark Lab
Research Intern
Developed vision foundation models for dense visual prediction tasks.
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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.