Yuanfeng Ji

About

Postdoctoral scholar at Stanford University developing AI foundation models for biomedicine, with a focus on computational pathology, radiology, and spatial biology. 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.

News

May 1, 2026

Two Papers Accepted by ICML 2026🔥 New

Two papers have been accepted by ICML 2026. Congratulations to all collaborators!

Apr 1, 2026

ChexGen Accepted by NEJM AI🔥 New

Our paper 'ChexGen: A Generative Foundation Model for Chest Radiography' has been accepted by NEJM AI! Grateful to all my collaborators for their outstanding contributions.

Jun 15, 2025

GAIA Workshop Now Accepting Paper Submissions

Our ICCV 2025 workshop 'GAIA: Generative AI for Biomedical Image Analysis' is now accepting paper submissions! Paper submission deadline is August 20, 2025. We welcome submissions on medical image generation, vision-language foundation models, clinical workflow intelligence, and more.

Jun 15, 2025

Two Papers Accepted by MICCAI 2025

Two papers have been accepted by MICCAI 2025! 'Towards Interpretable Counterfactual Generation via Multimodal Autoregression' was accepted as Early Accept, and another paper on medical imaging analysis was also accepted. Grateful to all my collaborators for their excellent work!

Jun 4, 2025

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.

Feb 28, 2025

Served as an Area Chair for MICCAI 2025

I'm very excited to have the opportunity to contribute to the community!

Feb 28, 2025

Two papers accepted by CVPR 2025

Congratulations to my co-authors for their excellent work!

Nov 1, 2024

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

2024 - Present

Stanford University

Postdoctoral Researcher

Engaged in AI applications for precision medicine under the guidance of Prof. Ruijiang Li.

2023 - 2024

Stanford University

Visiting Student Researcher

Engaged in AI applications for precision medicine under the guidance of Prof. Ruijiang Li.

2022 - 2023

Huawei Noah's Ark Lab

Research Intern

Worked on vision foundation models.

2021 - 2022

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.

2019 - 2020

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.

2018 - 2019

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.

2018 - 2019

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

2022 - 2024

The University of Hong Kong

Ph.D. in Computer Science

2020 - 2022

The University of Hong Kong

MPhil in Computer Science

2019 - 2020

City University of Hong Kong

Master's Degree in Electronic Information Engineering

2014 - 2018

Shenzhen University

Bachelor's Degree in Electronic Information Engineering

Awards & Achievements

2018

Kaggle RSNA Pneumonia Detection Challenge

Ranked 5th (Gold Medal)

2019

COCO 2019 Panoptic Segmentation Task

Ranked 3rd

2018

MICCAI 2018 ISIC Skin Lesion Segmentation Challenge

Ranked 3rd

2018

Kaggle Human Protein Atlas Image Classification Challenge

Ranked 87th (Silver Medal)

Activities

ICCV 2025

GAIA: Generative AI for Biomedical Image Analysis Workshop

https://era-ai-biomed.github.io/GAIA/

MICCAI 2022

AMOS: Abdominal Multi-Organ Segmentation Challenge

https://amos22.grand-challenge.org/

MICCAI 2024

AMOS-MM: Abdominal Multimodal Analysis Challenge

https://www.codabench.org/competitions/3137/

Publications

Full publication list →

2026

ChexGen: A Generative Foundation Model for Chest Radiography

Yuanfeng Ji*, Dan Lin*, Xiyue Wang*, Lu Zhang, Wenhui Zhou, Chongjian Ge, Ruihang Chu, Xiaoli Yang, Junhan Zhao, Junsong Chen, Xiangde Luo, Sen Yang, Jin Fang, Ping Luo#, Ruijiang Li#

NEJM AIPaper AI Overview

SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis

Yuchen Yuan*, Yuanfeng Ji*, Zhongxiao Li, Ruijiang Li

ICML26

2025

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning

Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji#, Junjun He#

arxivPaper Code

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation

Chenglong Ma*, Yuanfeng Ji*, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan

arxivPaper Code AI Overview

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Chenglong Ma*, Yuanfeng Ji*, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan

MICCAI25Paper Project AI Overview

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Ying Chen*, Guoan Wang*, Yuanfeng Ji*#, Yanjun Li, Jin Ye, Tianbin Li, Bin Zhang, Nana Pei, Rongshan Yu, Yu Qiao, Junjun He#

CVPR25Paper AI Overview

Large Language Models as Automated Aligners for Benchmarking Vision-Language Models

Yuanfeng Ji*, Chongjian Ge*, Weikai Kong, Enze Xie, Zhengying Liu, Zhengguo Li, Ping Luo

ICLR24Paper Code Project

SyNDock: N Rigid Protein Docking via Learnable Group Synchronization

Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo

arxivPaper Code Project

DDP: Diffusion Model for Dense Visual Prediction

Yuanfeng Ji*, Zhe Chen*, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo

ICCV23Paper Code

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery

Yuanfeng Ji*, Lu Zhang*, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian

AAAI22OralPaper Code Project

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo

NeurIPS22OralPaper Code Project

Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo

MICCAI21Paper Code

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo

MICCAI20Paper Code

RANet: Region Attention Network for Semantic Segmentation

Dingguo Shen*, Yuanfeng Ji*, Ping Li, Yi Wang, Di Lin