Yuanfeng Ji

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

2025-06-15

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.

2025-06-15

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!

2025-06-04

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.

2025-02-28

Served as an Area Chair for MICCAI 2025

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

2025-02-28

Two papers accepted by CVPR 2025

Congratulations to my co-authors for their excellent work!

2024-11-1

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.

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

2019

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

2019

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://amos-mm.grand-challenge.org/

Publications

ChexGen: A Generative Foundation Model for Chest Radiographyarxiv

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

paper AI Overview

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

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#

paper code

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretationarxiv

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

paper code AI Overview

Towards Interpretable Counterfactual Generation via Multimodal AutoregressionMICCAI25

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

paper project AI Overview

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image UnderstandingCVPR25

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

paper AI Overview

CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D GaussiansCVPR25

Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding, Varun Jampani, Wei Zhan

paper project

SyNDock: N Rigid Protein Docking via Learnable Group Synchronizationarxiv

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

paper code project

Large Language Models as Automated Aligners for Benchmarking Vision-Language ModelsICLR24

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

paper code project

DDP: Diffusion Model for Dense Visual PredictionICCV23

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

paper code

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug DiscoveryAAAI23Oral

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

paper code project

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationNeurIPS22Oral

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

paper code project

Multi-Compound Transformer for Accurate Biomedical Image SegmentationMICCAI21

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

paper code

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image SegmentationMICCAI20

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

paper code

RANet: Region Attention Network for Semantic SegmentationNeuips2020

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