Huazhu FU

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

Email: hzfu(AT)ieee(DOT)org

[Recent News] - [Professional Activities] - [Recognitions] - [Highlighted Publications] - [Grants] - [Google Scholar]

I am a senior scientist at IHPC, A*STAR. I received my Ph.D. from Tianjin University in 2013. Previously, I were a Research Fellow (2013-2015) at Nanyang Technological University (NTU), Singapore, a Research Scientist (2015-2018) at Institute for Infocomm Research (I2R), A*STAR, Singapore, and a Senior Scientist (2018-2021) at Inception Institute of Artificial Intelligence (IIAI), UAE.
My research focuses on:

Computer Vision: Image Segmentation, Image Enhancement, Efficient Learning.

⚡AI in Healthcare: Medical Image Analysis, Multi-modality Learning, Medical Vision-Language Model.

⚡Trustworthy AI: Uncertainty Estimation, Privacy and Security, Federated Learning.

PhD Scholarships: Singapore International Graduate Award (SINGA) Scholarship supports international students who wish to pursue their PhDs, collaborated with Singapore Universities (NUS, NTU, and SUTD).

Visiting PhD Student: A*STAR Research Attachment Programme (ARAP) supports PhD students from overseas universities to spend a minimum of one to a maximum of two years at A*STAR Research Institutes under the joint supervision.

Chinese PhD Student: We are also looking for visiting PhD students from China to spend a minimum of one year at IHPC, under Chinese CSC Scholarship. (Only available for 2024)

Requirements: 1) Having at least TWO first-author publications at top-tier AI conferences (e.g., CVPR, ICCV, NeurIPS, ICLR) or journals (e.g., TPAMI, IJCV, TMI, TIP, TNNLS).
2) Familiarity with one or more of the following will be viewed favorable: efficient learning (e.g., semi/self/weakly supervised learning, and domain adaptation), and trustworthy AI (e.g., federated learning, uncertainty estimation, and explainable AI).

Professional Activities:

Memberships:
- IEEE Senior Member.
- Member of the IEEE Bio Imaging and Signal Processing Technical Committee (BISP TC).
Associate Editor:
- IEEE Transactions on Medical Imaging (IEEE TMI, IF=11.037), 2020 - present.
- IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS, IF=14.255), 2022 - present.
- IEEE Journal of Biomedical and Health Informatics (IEEE JBHI, IF=7.021), 2020 - present.
- IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 - present.
- Scientific Reports, 2021 - present.
- IEEE Access, 2018 - present.
Guest Editor:
- IEEE TMI, Special Issue on “Geometric Deep Learning in Medical Imaging”, 2022. [Link]
- IEEE JBHI, Special Issue on “Generative Adversarial Networks in Biomedical Image Computing”, 2021. [Link]
- IEEE JBHI, Special Issue on “Ophthalmic Image Analysis and Informatics”, 2020. [Link]
Area Chair/Senior-PC:
- MICCAI (2021-2023), IJCAI (2021), ACM MM Asia (2021), AAAI (2022), MIDL (2022-2023), ICIP (2022-2023), BHI (2022), ICASSP (2023), ISBI (2023).
Challenge Organizer:
- "ATLAS: A Tumor and Liver Automatic Segmentation" with the MICCAI 2023. [Link]
- "STAGE: Structural-Functional Transition in Glaucoma Assessment" with the MICCAI 2023.
- "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]
- "REFUGE: Retinal Fundus Glaucoma Challenge" with the MICCAI 2018. [Link] [Summary Paper]
Workshop Chair:
- MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), 2018 - 2023. [Link]
- MICCAI Workshop on Resource-Efficient Medical Image Analysis (REMIA), 2022-2023. [Link]

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Recognitions:

2022: Best Paper Award of Ophthalmic Medical Image Analysis Workshop in MICCAI.
2022: Best Paper Runner-up Award of Resource-Efficient Medical Image Analysis Workshop in MICCAI.
2021-2022: Top 2% Scientists Worldwide, identified by Stanford University. [Link]
2021: Best Paper Award in IEEE International Conference on Multimedia & Expo (ICME). [Link]
2021: Finalist of the Young Scientist Publication Impact Award in MICCAI.
2021: Most Influential Paper (Application) Award in Jittor Developer Conference.
2020-2022: IEEE TMI Distinguished Reviewer Gold Level.
2021: Outstanding Reviewer in CVPR.
2014 China Computer Federation (CCF) Outstanding Dissertation Nomination. [Link]

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Highlighted Publications:

More publications in: [More..] / [Google Scholar]

⚡"Federated Benchmarking of Medical Artificial Intelligence with MedPerf",
A. Karargyris, R. Umeton, ..., H. Fu, ..., S. Bakas, and P. Mattson,
Nature Machine Intelligence, 2023, accepted. [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 (IEEE TPAMI), to appear. [Code]
⚡"Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST",
Y. Long, K. S. Ang, ..., H. Fu, ..., and J. Chen,
Nature Communications, 2023. [Code]
⚡"Transformers in Medical Imaging: A Survey",
F. Shamshad, S. Khan, S. W.s Zamir, M. H. Khan, M. Hayat, F. S. Khan, and H. Fu,
Medical Image Analysis (MedIA), 2023. [Project]
⚡"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 (IEEE TPAMI), 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 (IEEE TPAMI), 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 (IEEE TPAMI), 2022. [Chinese version] [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 (IEEE TPAMI), 2022. [Project]
(ESI Highly Cited Paper)
"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 (IEEE TPAMI), 2022. [Code]
(ESI Highly Cited Paper)
"Applications of Deep Learning in Fundus Images: A Review",
T. Li, W. Bo, C. Hu, H. Kang, H. Liu, K. Wang, and H. Fu,
Medical Image Analysis (MedIA), 2021. [Project]
(ESI Highly Cited Paper)
"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 (IEEE TPAMI), 2020. [Code] [Data]
(ESI Highly Cited Paper)
"Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images",
D.-P. Fan, T. Zhou, G.-P. Ji, Y. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao,
IEEE Transactions on Medical Imaging (IEEE TMI), 2020. [Code]
(ESI Highly Cited Paper, Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022, Top-50 Most Frequently Accessed Documents in IEEE TMI")
"CE-Net: Context Encoder Network for 2D Medical Image Segmentation",
Z. Gu, J. Cheng, H. Fu, K. Zhou, H. Hao, Y. Zhao, T. Zhang, S. Gao, and J. Liu,
IEEE Transactions on Medical Imaging (IEEE TMI), 2019. [Code]
(ESI Highly Cited Paper, Top-10 Most Cited Paper within 5 Years in IEEE TMI 2022, Top-50 Most Frequently Accessed Documents in IEEE TMI")
"Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation",
H. Fu, J. Cheng, Y. Xu, D. W. K. Wong, J. Liu, and X. Cao,
IEEE Transactions on Medical Imaging (IEEE TMI), 2018. [Code]
(ESI Highly Cited Paper, Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022)

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Major Research Grants:

Principal Investigator, "Robust and Trustworthy AI system for Multi-modality Healthcare", A*STAR SERC Central Research Fund, 2022-2025.
Principal Investigator, "Efficient and Robust Federated (Un)Learning for Utilizing Large Model on Resource-limited Clients", A*STAR Career Development Fund, 2022-2024.
Principal Investigator, "Trustworthy and Data-efficient Multi-modality Learning for Healthcare", A*STAR AI3 HTPO Seed Fund, 2022-2023.
Co-Principal Investigator, "SmartRx: Safe Medication Management Platform Augmented by ARTificial Intelligence for Prescribers [Rx]", AISG Technology Challenge Funding, 2022-2025.
Co-Principal Investigator, "RAPIER - Radiology Pathology Information Exchange Resource", AISG Technology Challenge Funding, 2022-2025.

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Huazhu FU

Recent News:

Professional Activities:

Recognitions:

Highlighted Publications:

Major Research Grants: