Fuying Wang
Email: fuyingw AT stanford DOT edu
My research interest mainly lies in the AI for healthcare. Especially, I am interested in developing self-supervised learning and multimodal learning approaches for medical applications.
I am currently a Postdoctoral Scholar in the Department of Radiology at Stanford University. Before that, I was a visiting Ph.D. student at the MIMI Lab, Stanford University, supervised by Prof. Akshay Chaudhari, focusing on self-supervised learning for multimodal medical data analysis. I was also a research intern at the Biomedical Imaging team at Microsoft Research, supervised by Shruthi Bannur. I received my Ph.D. from the Medical AI Lab, The University of Hong Kong, under the supervision of Prof. Lequan Yu, and my B.Eng. from the Department of Electronic Engineering, Tsinghua University.
I am happy for collaboration on AI for healthcare research! Please ping me if you are interested.
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News & Updates
2026/09 - One paper accepted to NeurIPS 2026.
2026 - One paper accepted to Nature Cardiovascular Research.
2026 - I joined Stanford University as a Postdoctoral Scholar in Radiology.
2026 - MorphoNet accepted to Medical Image Analysis.
2026/01 - One paper accepted to ICLR 2026.
2025/11 - I received my Ph.D. from The University of Hong Kong.
2025/07 - One paper accepted to TMI 2025.
2025/05 - One paper accepted to ACL 2025.
2025/05 - Two papers accepted to ICML 2025.
2025/05 - I am the primary organizer of ICCV 2025 CVAMD Workshop.
2025/02 - One paper accepted to TMI 2025.
Selected Publications
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Fuying Wang, Medical Image Analysis 2026, [paper] |
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ICLR 2026, [paper] [code] |
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Neural Networks 2026, |
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Fuying Wang, TMI 2025, [paper] [code] |
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Fuying Wang*, ICML 2025, [paper] [code] |
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ICML 2025, [paper] [code] |
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Fuying Wang*, ACL 2025 Findings, [paper] [code] |
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Fuying Wang, TMI 2025, [paper] [code] |
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Fuying Wang, ECCV 2024, [paper] [code] |
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Fuying Wang, NeurIPS 2022, [paper] [code] |
Academic Services
Conference Reviewer: ICML, ICLR, NeurIPS, CVPR, ICCV, AAAI, MICCAI, WACV
Journal Reviewer: TPAMI, TMI, JBHI, CMIG