Huazhu FU

Recent News:

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), 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.
• Guest Editor:
  • IEEE JBHI, Special Issue on “Foundation Models in Medical Imaging”, 2024. [Link]
  • 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 (2024), AAAI (2022), MIDL (2022-2023), ICIP (2022-2024), BHI (2022), ICASSP (2023-2025), ISBI (2023-2024), ICLR (2025).
• Challenge Organizer:
  • "STAGE2: 2nd Structural-Functional Transition in Glaucoma Assessment" with the MICCAI 2024.
  • "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]
• Workshop Chair:
  • MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), 2018 - 2024. [Link]
  • MICCAI Workshop on Resource-Efficient Medical Image Analysis (REMIA), 2022-2023. [Link]

Recognitions:

• 2020-2024: World's Top 2% Scientists List, identified by Stanford/Elsevier (in category Artificial Intelligence & Image Processing). [Link]
• 2024: Best Paper Award of Ophthalmic Medical Image Analysis (OMIA) Workshop in MICCAI.
• 2024: Finalist of the Young Scientist Publication Impact Award in MICCAI.
• 2024: Honorable Mention Award by Computational Visual Media Journal. [Link]
• 2024: Collaborative Paper Award by Biomedical Research Council (BMRC), A*STAR.
• 2024: Outstanding Presentation under the Computing, Data and Digital Sciences track at A*STAR CDF Day, 2024.
• 2023: Achievement Award of 2023 TOP 100 Benchmarks & Evaluation by International Open Benchmark Council.
• 2023: Best Paper Award of Distributed, Collaborative and Federated Learning (DeCAF) Workshop in MICCAI.
• 2022: Best Paper Award of Ophthalmic Medical Image Analysis (OMIA) Workshop in MICCAI.
• 2022: Best Paper Runner-up Award of Resource-Efficient Medical Image Analysis (REMIA) Workshop in MICCAI.
• 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.
• 2014 China Computer Federation (CCF) Outstanding Dissertation Nomination. [Link]

Highlighted Publications:

• ⚡"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 (IEEE TPAMI), 2024.
• ⚡"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 (IEEE TPAMI), 2024.
• ⚡"ViDSOD-100: A New Dataset and A Baseline Model for RGB-D Video Salient Object Detection",
  J. Lin, L. Zhu, J. Shen, H. Fu, Q. Zhang, and L. Wang,
  International Journal of Computer Vision (IJCV), 2024. [Code]
• ⚡"Early Detection of Dementia through Retinal Imaging and Trustworthy AI",
  J. Hao, W. Kwapong, T. Shen, H. Fu, ..., and Y. Zhao,
  npj Digital Medicine, 2024.
• "Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification",
  M. Wang, T. Lin, L. Wang, ..., H. Chen, and H. Fu,
  Nature Communications, 2023. [Code]
• "Federated Benchmarking of Medical Artificial Intelligence with MedPerf",
  A. Karargyris, R. Umeton, ..., H. Fu, ..., 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, ..., H. Fu, ..., 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 (IEEE TPAMI), 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 (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]
• "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]
• "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]
• "Tensorized Multi-View Subspace Representation Learning",
  C. Zhang, H. Fu, J. Wang, Q. Hu, X. Cao, and W. Li,
  International Journal of Computer Vision (IJCV), 2020. [Code]