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

[Recent News] - [Professional Activities] - [Recognitions] - [Highlighted Publications] - [Google Scholar]
I am a principal 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.
Major focuses on:
  • Computer Vision: Foreground Detection, Image Segmentation, Image Restoration.
  • AI for Healthcare: Medical Image Analysis, ⚡Medical Vision-Language Model, ⚡Medical Foundation Model.
  • Trustworthy AI: ⚡Uncertainty Estimation, ⚡Federated Learning.

  • Recent News:

    • [Call For Papers] IEEE JBHI (IF: 7.7) Special Issue on "Foundation Models in Medical Imaging". Submission Deadline: 15 July 2024.

    • [06/2024] 11 papers accepted by MICCAI 2024.
    • [05/2024] One paper accepted by MedIA: "Confidence-aware multi-modality learning for eye disease screening".
    • [04/2024] Our paper, "Specificity-preserving RGB-D saliency detection", received the Honorable Mention Award of Computational Visual Media Journal in 2023.
    • [04/2024] One paper accepted by IJCV: "ViDSOD-100: A New Dataset and A Baseline Model for RGB-D Video Salient Object Detection".
    • [03/2024] One paper accepted by IEEE TMI: "Diverse Data Generation for Retinal Layer Segmentation with Potential Structure Modelling".
    • [03/2024] One paper accepted by IEEE TMI: "Instrument-tissue Interaction Detection Framework for Surgical Video Understanding".
    • [02/2024] 2 papers accepted by CVPR 2024.
    • [01/2024] One paper accepted by Genome Medicine: "Unsupervised spatially embedded deep representation of spatial transcriptomics".
    • [01/2024] One paper accepted by IEEE TMI: "Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis".
    • [01/2024] Our PALM challenge paper accepted by Scientific Data: "Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation"
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    Professional Activities:

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    Highlighted Publications:

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