Scholar
Yuanfeng Ji
Google Scholar ID: 7HGv1bkAAAAJ
Stanford; HKU
Citations & Impact
Citations
3,282
H-index
14
i10-index
18
Publications
20
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- 2025: Two papers accepted by MICCAI 2025 (one as Early Accept)
- 2025: Two papers accepted by CVPR 2025
- 2025: Served as Area Chair for MICCAI 2025
- 2025: Organized GAIA Workshop at ICCV 2025 on Generative AI for Biomedical Image Analysis
- 2019: Ranked 5th (Gold Medal) in Kaggle RSNA Pneumonia Detection Challenge
- 2019: Ranked 3rd in COCO 2019 Panoptic Segmentation Task
- 2018: Ranked 3rd in MICCAI 2018 ISIC Skin Lesion Segmentation Challenge
- 2019: Ranked 87th (Silver Medal) in Kaggle Human Protein Atlas Image Classification Challenge
Research Experience
- 2024–Present: Postdoctoral Researcher at Stanford University, working on AI applications for precision medicine under the guidance of Prof. Ruijiang Li
- 2023–2024: Visiting Student Researcher at Stanford University, working on AI applications for precision medicine under the guidance of Prof. Ruijiang Li
- 2021–2022: Research Intern at Tencent AI Lab, led development of DrugAI dataset and benchmark for out-of-distribution generalization; developed multi-protein docking algorithms using graph-based deep learning
- 2019–2020: Research Intern at SenseTime Research, developed AutoML algorithms for medical image analysis; led creation of a multi-site abdominal organ segmentation dataset and benchmark
- 2018–2019: Deep Learning Researcher at Imsight Medical Technology, led development of CAD products including a chest X-ray diagnostic system detecting 17 lung diseases and a sequencing algorithm for optimizing diagnostic queues, deployed in multiple institutions in Hong Kong
- 2018–2019: Research Assistant at Visual Computing Research Center, Shenzhen University, contributed to semantic segmentation research under the supervision of Prof. Hui Huang and Prof. Di Lin
Background
- AI researcher focused on medical imaging and computer vision
- Originally from the Chaoshan region, China
- Currently based in California, USA
- Postdoctoral researcher at Stanford University specializing in AI-driven precision medicine
- Focuses on developing innovative multimodal AI systems for medical imaging, with expertise in computer vision, generative models, and medical image analysis
- Bridges cutting-edge AI technology with real-world clinical applications
