Huazhu FU

Recent News:

• [05/2024] One paper accepted by Nature Communications: "Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model".
• [05/2024] One paper accepted by MedIA: "PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation".
• [03/2024] One paper accepted by MedIA: "Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation".
• [03/2024] One paper accepted by MedIA: "Beyond the eye: A relational model for early dementia detection using retinal OCTA images".
• [02/2025] Three papers accepted by CVPR 2025.
• [01/2025] One paper accepted by IEEE TMI: "Masked Vascular Structure Completion in Retinal Images".
• [01/2025] One paper accepted by IEEE TMI: "Uncertainty-Driven Edge Prompt Generation Network for Medical Image Segmentation".
• [01/2025] One paper accepted by IEEE TMI: "Multi-view Test-time Adaptation for Semantic Segmentation in Clinical Cataract Surgery".
• [01/2025] One paper accepted by IEEE TMI: "Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation".
• [01/2025] One paper accepted by IEEE TMI: "DiffMIC-v2: Medical Image Classification via Improved Diffusion Network".

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.
• Area Chair/Senior-PC:
  • MICCAI (2021-2023, 2025), IJCAI (2021), ACM MM (2024), AAAI (2022), MIDL (2022-2023), ICIP (2022-2024), BHI (2022), ICASSP (2023-2025), ISBI (2023-2025), ICLR (2025), EMBC (2025).
• Challenge Organizer:
  • "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]

Highlighted Publications:

• "Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model",
  M. Wang, T. Lin, A. Lin, ..., C.-Y. Cheng, H. Chen, and H. Fu,
  Nature Communications, 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, ..., H. Fu, and H. Chen,
  Cell Reports Medicine, 2024. [Code]
• "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]
• "Unsupervised spatially embedded deep representation of spatial transcriptomics",
  H. Xu, H. Fu, Y. Long, K. S. Ang, R. Sethi, K. Chong, M. Li, R. Uddamvathanak, H. K. Lee, J. Ling, A. Chen, L. Shao, L. Liu and J. Chen,
  Genome Medicine, 2024. [Code] [Analysis 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. [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 (IEEE TPAMI), 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 (IEEE TPAMI), 2024. [Online Demo]
• "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]

Recognitions & Awards:

• 2020-2024: World's Top 2% Scientists List, by Stanford/Elsevier (in category Artificial Intelligence & Image Processing). [Link]
• 2024: Highly Cited Researcher, by Web of Science (in the field of Cross-Field), Clarivate.
• 2024: First Place in "Big Data Competition" in APTOS-APOIS 2024.
• 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: 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: Honorable Mention Award by Computational Visual Media Journal. [Link]
• 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]