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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:

AI for Healthcare: Medical Image Analysis, ⭐ Medical Vision-Language Model, ⭐ Medical Foundation Model.
Trustworthy AI: Federated Learning, ⭐ Uncertainty Estimation, ⭐ Visual Grounding.

Professional Activities:

Co-Chair of “Students & Young Professionals” Subcommittee in the IEEE Signal Processing Society (SPS) Technical Committee on Bio Imaging and Signal Processing (BISP).
Member of the IEEE Engineering in Medicine and Biology Society (EMBS) Technical Committee on Biomedical Imaging and Image Processing (BIIP).

Associate Editor:
- IEEE Transactions on Medical Imaging (IEEE TMI), 2020 - present.
- IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 - present.
- IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2020 - present.
- IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 - present.
- Pattern Recognition (PR), 2024 - present.
- Visual Intelligence, 2024 - present.
- Meta-Radiology, 2023 - present.
Challenge Organizer:
- "GAVE: Generalized Analysis of Vessels in Eye" with the MICCAI 2025. [Link]
- "STAGE2: 2nd Structural-Functional Transition in Glaucoma Assessment" with the MICCAI 2024. [Link]
- "ATLAS: A Tumor and Liver Automatic Segmentation" with the MICCAI 2023. [Link]
- "STAGE: Structural-Functional Transition in Glaucoma Assessment" with the MICCAI 2023. [Link]
- "GOALS: Glaucoma Oct Analysis and Layer Segmentation" with the MICCAI 2022. [Link]
- "GAMMA: Glaucoma Grading from Multi-Modality Images Challenge" with the MICCAI 2021. [Link] [Summary Paper]
- "REFUGE2: 2nd Retinal Fundus Glaucoma Challenge" with the MICCAI 2020. [Link] [Summary Paper]
- "ADAM: Automatic Detection challenge on Age-related Macular degeneration" with the ISBI 2020. [Link] [Summary Paper]
- "AGE: Angle closure Glaucoma Evaluation Challenge" with the MICCAI 2019. [Link] [Summary Paper]
- "PALM: PathologicAL Myopia detection from retinal images" with the ISBI 2019. [Link] [Data Summary]
- "REFUGE: Retinal Fundus Glaucoma Challenge" with the MICCAI 2018. [Link] [Summary Paper]

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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]
	"Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network", T. Chen, D. Zhang, D. Chen, H. Fu, K. Jin, S. Wang, L. D. Cohen, Y. Zhao, Q. Yi, and J. Zhang, 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]
	"Structure Unbiased Adversarial Model for Medical Image Translation", T. Zhang, S. Zheng, J. Cheng, X. Jia, J. Bartlett, X. Cheng, Z. Qiu, H. Fu, J. Liu, A. Leonardis, and J. Duan, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [Online Demo]
	"Early Detection of Dementia through Retinal Imaging and Trustworthy AI", J. Hao, W. Kwapong, T. Shen, H. Fu, ......, S. Zhang, H. Qi, and Y. Zhao, npj Digital Medicine, 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]
	"Consistency and Diversity induced Human Motion Segmentation", T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, and J. Shen, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
	"Re-thinking Co-Salient Object Detection", D.-P. Fan, T. Li, Z. Lin, G.-P. Ji, D. Zhang, M.-M. Cheng, H. Fu, and J. Shen, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [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]
	"Deep Partial Multi-View Learning", C. Zhang, Y. Cui, Z. Han, J. T. Zhou, H. Fu, and Q. Hu, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [Code]
	"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:

Since 2024: Highly Cited Researcher, by Clarivate (in the field of Cross-Field). [Link]
Since 2021: World's Top 2% Scientists, by Stanford/Elsevier (in category Artificial Intelligence & Image Processing). [Link]
2025: Best Paper Award of IEEE Journal of Biomedical and Health Informatics (JBHI), for "Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring". [Link]
2025: Science and Technology Progress Award (First Prize) by the China Medicine Education Association (中国医药教育协会, 科学技术进步奖一等奖), for "Key Technological Innovations and Applications in Retinal Imaging Diagnosis and Treatment". [Chinese Link] [Certification with google translation]
2025: Young Scientist Publication Impact Award in MICCAI, for "PraNet: Parallel Reverse Attention Network for Polyp Segmentation". [Link]
2024: First Place in "Big Data Competition" in APTOS-APOIS 2024.
2024: Best Paper Award of Ophthalmic Medical Image Analysis (OMIA) Workshop in MICCAI, for "Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt". [Certification]
2024: Collaborative Paper Award by Biomedical Research Council (BMRC), A*STAR, for "Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST".
2024: Outstanding Presentation under the Computing, Data and Digital Sciences track at A*STAR CDF Day, 2024.
2023: Honorable Mention Award by Computational Visual Media Journal, for "Specificity-preserving RGB-D saliency detection". [Link]
2023: Achievement Award of 2023 TOP 100 Benchmarks & Evaluation by International Open Benchmark Council. [Certification]
2023: Best Paper Award of Distributed, Collaborative and Federated Learning (DeCAF) Workshop in MICCAI, for "Federated model aggregation via self-supervised priors for highly imbalanced medical image classification". [Certification]
2022: Best Paper Award of Ophthalmic Medical Image Analysis (OMIA) Workshop in MICCAI, for "Localizing anatomical landmarks in ocular images using zoom-in attentive networks". [Certification]
2022: Best Paper Runner-up Award of Resource-Efficient Medical Image Analysis (REMIA) Workshop in MICCAI, for "Facing annotation redundancy: Oct layer segmentation with only 10 annotated pixels per layer". [Certification]
2021: Best Paper Award in IEEE International Conference on Multimedia & Expo (ICME), for "Cross-view equivariant auto-encoder". [Link]
2021: Finalist of the Young Scientist Publication Impact Award in MICCAI, for "DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field". [Certification]
2021: Most Influential Paper (Application) Award in Jittor Developer Conference, for "PraNet: Parallel Reverse Attention Network for Polyp Segmentation". [Certification in Chinese]

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