Huazhu FU

Principal Scientist
Institute of High Performance Computing (IHPC)
Agency for Science, Technology and Research (A*STAR), Singapore.

Email: hzfu(AT)ieee(DOT)org

[Professional Activities] - [Highlighted Publications] - [Recognitions & Awards] - [Google Scholar]
My research focuses on:

Professional Activities:

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Highlighted Publications:

Full publication list: [Google Scholar]

"A deep learning based automatic report generator for retinal optical coherence tomography images",
X. Chen, H. Fu, J. Wang, ......, C.P. Pang, and H. Chen,
npj Digital Medicine, 2025. [Code]

"Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model",
M. Wang, T. Lin, A. Lin, K. Yu, ......, C.-Y. Cheng, H. Chen, and H. Fu,
Nature Communications, 2025. [Code]

"An Eyecare Foundation Model for Clinical Assistance: a Randomized Controlled Trial",
Y. Wu, B. Qian, T. Li, Y. Qin,......, H. Fu, ......, T. Y. Wong, and B. Sheng,
Nature Medicine, 2025. [Code]

"Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding",
K. Zou, Y. Bai, B. Liu, Y. Chen, Z. Chen, Y. Zhou, X. Yuan, M. Wang, X. Shen, X. Cao, Y. C. Tham, and, H. Fu,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. [Code]

"Enhancing Al Reliability: A Foundation Model with Uncertainty Estimation for Optical Coherence Tomography based Retinal Diseases Diagnosis",
Y. Peng, A. Lin, M. Wang, T. Lin, ......, C.-Y. Cheng, H. Fu, and H. Chen,
Cell Reports Medicine, 2024. [Code]

"Say No to Freeloader: Protecting Intellectual Property of Your Deep Model",
L. Wang, M. Wang, H. Fu, and D. Zhang,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [Code]

"Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification",
M. Wang, T. Lin, L. Wang, A. Lin, ......, X. Chen, H. Chen, and H. Fu,
Nature Communications, 2023. [Code]

"Federated Benchmarking of Medical Artificial Intelligence with MedPerf",
A. Karargyris, R. Umeton, M. J. Sheller, ......, H. Fu, ......, J. M. Johnson, S. Bakas, and P. Mattson,
Nature Machine Intelligence, 2023. [Code]

"Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST",
Y. Long, K. S. Ang, M. Li, ......, H. Fu, ......, L. Liu, and J. Chen,
Nature Communications, 2023. [Code]

"GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector",
P. Zheng, H. Fu, D.-P. Fan, Q. Fan, J. Qin, Y.-W. Tai, C.-K. Tang, and L. V. Gool,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. [Code]

"Trusted Multi-View Classification with Dynamic Evidential Fusion",
Z. Han, C. Zhang, H. Fu, and J. T. Zhou,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. [Code]

"Salient Object Detection in the Deep Learning Era: An In-Depth Survey",
W. Wang, Q. Lai, H. Fu, J. Shen, H. Ling, and R. Yang,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [Project]

"Generalized Latent Multi-view Subspace Clustering",
C. Zhang, H. Fu, Q. Hu, X. Cao, Y. Xie, D. Tao, and D. Xu,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. [Code] [Data]

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Recognitions & Awards:

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