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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).

  • Recent News:

    • [04/2023] Three papers accepted by ICML 2023.
    • [04/2023] One paper for "MedPerf: Federated Benchmarking" accepted by Nature Machine Intelligence.
    • [03/2023] The survey paper, "Transformers in Medical Imaging: A Survey", accepted by MedIA.
    • [03/2023] One paper for "Medical Image Segmentation" accepted by IEEE TMI.
    • [03/2023] One paper for "Co-saliency Detection" accepted by IEEE TPAMI.
    • [03/2023] Glad to organize OMIA-X workshop with STAGE challenge on MICCAI 2023.
    • [03/2023] Glad to organize REMIA workshop with ATLAS challenge on MICCAI 2023.
    • [02/2023] Two papers accepted by CVPR.
    • [02/2023] One paper for "Multi-Contrast MRI Super-Resolution" accepted by IEEE TNNLS.
    • [02/2023] One paper for "Fundus Image Enhancement" accepted by IEEE TMI.
    • [01/2023] One paper for "Spatial Transcriptomics Representation Learning" accepted by Nature Communications.
    • [01/2023] Serve as an Area Chair of MICCAI 2023.
    • [01/2023] Be invited to serve as Associate Editor of IEEE TAI.
    • ------ Happy New Year! --------
    • [11/2022] One paper for "COVID-19 Semi-supervised Infection Segmentation" accepted by IEEE TCyb.
    • [10/2022] Happy to be granted as Co-PI by AISG Tech Challenge Funding.
    • [10/2022] Happy to be 'Top 2% Scientists Worldwide', identified by Stanford University, 2022. [link]
    • [10/2022] One paper for "Medical Domain Adaptation" accepted by MedIA.
    • [09/2022] Happy to receive the Best Paper Award of Ophthalmic Medical Image Analysis Workshop in MICCAI, 2022.
    • [09/2022] Happy to receive the Best Paper Runner-up Award of Resource-Efficient Medical Image Analysis Workshop in MICCAI, 2022.
    • [08/2022] One paper for "Federated learning on MR reconstruction" accepted by IEEE TMI.
    • [07/2022] Happy to be granted as PI by A*STAR Career Development Fund (CDF).
    • [07/2022] One paper for "Video De-raining" accepted by ECCV 2022.
    • [06/2022] Happy to be granted as PI by A*STAR SERC Central Research Fund (CRF).
    • [06/2022] One paper for "Multi-view learning" accepted by IEEE TNNLS.
    • [06/2022] One paper for "Video Dehazing" accepted by ACM MM 2022.
    • [06/2022] Be invited to serve as Associate Editor of IEEE TNNLS.
    • [06/2022] Nine papers accepted by MICCAI 2022.
    • [05/2022] One paper for "Multi-Modal MR Reconstruction" accepted by IEEE TMI.
    • [05/2022] One paper for "Lesion Segmentation in Fundus" accepted by IEEE TMI.
    • [05/2022] One paper for "Cataract classification in AS-OCT image" paper accepted by MedIA.
    • [05/2022] Serve as Technical Program Committee member of IEEE BHI 2022.
    • [04/2022] One paper for "ADAM Challenge" accepted by IEEE TMI.
    • [04/2022] One paper for "Trustworthy Multi-view Classification" accepted by IEEE TPAMI.
    • [03/2022] Serve as an Area Chair of IEEE ICIP 2022.
    • [03/2022] Four papers accepted by CVPR 2022.
    • [02/2022] Happy by organize two workshops on MICCAI 2022: OMIA9 and REMIA.
    • [02/2022] Happy to be granted as Co-PI by AISG Tech Challenge Funding.
    • [01/2022] One paper for "Cataractous Fundus Restoration" accepted by IEEE TMI.
    • [01/2022] One paper for "Motion Segmentation" accepted by IEEE TPAMI.
    • [01/2022] Serve as an Area Chair of MICCAI 2022.
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