Fuying Wang

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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MorphoNet: Morphological Sub-region-based Structure Learning for WSI Analysis
Fuying Wang, Feng Wu, Ming Hu, Junjun He, Liansheng Wang, Jianning Chen, Li Liang, Shujun Wang, Lequan Yu,
Medical Image Analysis 2026,
[paper]

Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation
Yihang Chen, Yanyan Huang, Fuying Wang, Maximus Yeung, Yuming Jiang, Shujun Wang, Lequan Yu,
ICLR 2026,
[paper] [code]

Bayesian Nonparametric Survival Analysis via Deep Dirichlet Process
Jiacheng Xu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu,
Neural Networks 2026,

Scaling Chest X-ray Foundation Models from Mixed Supervisions for Dense Prediction
Fuying Wang, Lequan Yu,
TMI 2025,
[paper] [code]

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
Fuying Wang*, Jiacheng Xu*, Lequan Yu,
ICML 2025,
[paper] [code]


CM$^2$: Cross-Modal Alignment via Variational Copula Modelling
Feng Wu*, Tsai Hor Chan*, Fuying Wang, Guosheng Yin, Lequan Yu,
ICML 2025,
[paper] [code]

CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
Fuying Wang*, Feng Wu*, Yihan Tang, Lequan Yu,
ACL 2025 Findings,
[paper] [code]

TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement
Fuying Wang, Jiayi Xin, Weiqin Zhao, Yuming Jiang, Maximus Yeung, Liansheng Wang, Lequan Yu,
TMI 2025,
[paper] [code]

HERGen: Elevating Radiology Report Generation with Longitudinal Data
Fuying Wang, Shenghui Du, Lequan Yu,
ECCV 2024,
[paper] [code]

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu,
NeurIPS 2022,
[paper] [code]

Conference Reviewer: ICML, ICLR, NeurIPS, CVPR, ICCV, AAAI, MICCAI, WACV

Journal Reviewer: TPAMI, TMI, JBHI, CMIG


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