Selected Publications:

Preprint & to appear:

• H. Fang, F. Li, H. Fu, X. Sun, ..., X. Zhang, and Y. Xu, "REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment", arXiv, arXiv:2202.08994. [Challenge Link]
• J. Mei, T. Zhou, K. Huang, Y. Zhang, Y. Zhou, Y. Wu, and H. Fu, "A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends", arXiv, arXiv:2311.18373.
• K. Zou, Y. Bai, Z. Chen, Y. Zhou, Y. Chen, K. Ren, M. Wang, X. Yuan, X. Shen, and H. Fu, "MedRG: Medical Report Grounding with Multi-modal Large Language Model", arXiv, arXiv:2404.06798.
• Z. Xing, L. Wan, H. Fu, G. Yang, and L. Zhu, "Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation", arXiv, arXiv:2303.10326. [Code]
• G. Deng, K. Zou, K. Ren, M. Wang, X. Yuan, S. Ying, and H. Fu, "SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image", arXiv, arXiv:2307.04973.
• B. Pu, X. Wei, S. Zhao, and H. Fu, "MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset", arXiv, arXiv:2303.09858.
• J. Lin, L. Zhu, J. Shen, H. Fu, Q. Zhang, and L. Wang, "ViDSOD-100: A New Dataset and A Baseline Model for RGB-D Video Salient Object Detection", International Journal of Computer Vision (IJCV), to appear.
• Y. Wang, L. Zhen, T.-E. Tan, H. Fu, ..., Y. Liu, and D. SW Ting "Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis", IEEE Transactions on Medical Imaging (TMI), to appear.
• A. He, T. Li, J. Yan, K. Wang, and H. Fu, "Bilateral Supervision Network for Semi-supervised Medical Image Segmentation", IEEE Transactions on Medical Imaging (TMI), to appear.
• W. Lin, Y. Hu, H. Fu, M. Yang, C.-B. Chng, R. Kawasaki, C. Chui, and J. Liu, "Instrument-tissue Interaction Detection Framework for Surgical Video Understanding", IEEE Transactions on Medical Imaging (TMI), to appear.
• K. Huang, X. Ma, Z. Zhang, Y. Zhang, S. Yuan, H. Fu, and Q. Chen, "Diverse Data Generation for Retinal Layer Segmentation with Potential Structure Modelling", IEEE Transactions on Medical Imaging (TMI), to appear.
• H. Li, Z. Lin, Z. Qiu, Z. Li, K. Niu, N. Guo, H. Fu, Y. Hu, and J. Liu, "Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement", IEEE Transactions on Medical Imaging (TMI), to appear.

2024:

• J. Liu, H. Liu, H. Fu, Y. Ye, K. Chen, Y. Lu, J. Mao, R. X. Xu, and M. Sun, "Edge-guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data", IEEE Transactions on Medical Imaging (TMI), 2024.
• 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, "Unsupervised spatially embedded deep representation of spatial transcriptomics", Genome Medicine, 2024. [Code] [Analysis Code]
• H. Fang, F. Li, J. Wu, H. Fu, X. Sun, J. I. Orlando, H. Bogunović, X. Zhang, and Y. Xu, "Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation", Scientific Data, 2024. [Challenge Link]
• J. Shi, C. Li, T. Gong, Y. Zheng, and H. Fu, "ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification", in CVPR, 2024.
• Y. Wang, H. Fu, R. Kanagavelu, Q. Wei, Y. Liu, and R. S. M. Goh, "An Aggregation-Free Federated Learning for Tackling Data Heterogeneity", in CVPR, 2024.

2023:

• M. Wang, T. Lin, L. Wang, ..., H. Chen, and H. Fu, "Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification", Nature Communications, 2023. [Code]
• A. Karargyris, R. Umeton, ..., H. Fu, ..., S. Bakas, and P. Mattson, "Federated Benchmarking of Medical Artificial Intelligence with MedPerf", Nature Machine Intelligence, 2023. [Code]
• Y. Long, K. S. Ang, ..., H. Fu, ..., and J. Chen, "Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST", Nature Communications, 2023. [Code]
• P. Zheng, H. Fu, D.-P. Fan, Q. Fan, J. Qin, Y.-W. Tai, C.-K. Tang, and L. V. Gool, "GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [Code]
• Z. Han, C. Zhang, H. Fu, and J. T. Zhou, "Trusted Multi-View Classification with Dynamic Evidential Fusion", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [Code] "ESI Highly Cited Paper"
• T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, and J. Shen, "Consistency and Diversity induced Human Motion Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. "ESI Highly Cited Paper"
• A. He, K. Wang, T. Li, C. Du, S. Xia, and H. Fu, "H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation", IEEE Transactions on Medical Imaging (TMI), 2023. [Code]
• E. Guo, H. Fu, L. Zhou, and D. Xu, "Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework", IEEE Transactions on Medical Imaging (TMI), 2023.
• J. Shi, L. Tang, Z. Gao, Y. Li, C. Wang, T. Gong, C. Li, and H. Fu, "MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification", IEEE Transactions on Medical Imaging (TMI), 2023.
• C.-M. Feng, Y. Yan, G. Chen, Y. Xu, Y. Hu, L. Shao, and H. Fu, "Multimodal Transformer for Accelerated MR Imaging", IEEE Transactions on Medical Imaging (TMI), 2023. [Code] "ESI Highly Cited Paper"
• C.-M. Feng, Y. Yan, S. Wang, Y. Xu, L. Shao, and H. Fu, "Specificity-Preserving Federated Learning for MR Image Reconstruction", IEEE Transactions on Medical Imaging (TMI), 2023. [Code]
• F. Shamshad, S. Khan, S. W.s Zamir, M. H. Khan, M. Hayat, F. S. Khan, and H. Fu, "Transformers in Medical Imaging: A Survey", Medical Image Analysis (MedIA), 2023. [Project] "ESI Highly Cited Paper"
• H. Li, H. Liu, H. Fu, Y. Xu, H. Shu, K. Niu, Y. Hu, and J. Liu, "A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning", Medical Image Analysis (MedIA), 2023.
• J. Wu, H. Fang, F. Li, H. Fu, ..., X. Zhang, and Y. Xu, "GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges", Medical Image Analysis (MedIA), 2023. [Challenge Link]
• Y. Feng, Z. Wang, X. Xu, Y. Wang, H. Fu, S. Li, ..., Y. Liu, R. S. M. Goh, and C. H. Tan, "Contrastive Domain Adaptation with Consistency Match for Automated Pneumonia Diagnosis", Medical Image Analysis (MedIA), 2023.
• K. Zou, Z. Chen, X. Yuan, X. Shen, M. Wang, and H. Fu, "A Review of Uncertainty Estimation and its Application in Medical Imaging", Meta-Radiology, 2023.
• L. Wang, M. Wang, D. Zhang, and H. Fu, "Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection", in CVPR, 2023. [Code]
• C.-M. Feng, B. Li, X. Xu, Y. Liu, H. Fu, and W. Zuo, "Learning Federated Visual Prompt in Null Space for MRI Reconstruction", in CVPR, 2023. [Code]
• Y. Yang, A. Aviles-Rivero, Y. Liu, H. Fu, W. Wang, and L. Zhu, "Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation", in ICCV, 2023. [Code]
• Q. Zhang, H. Wu, C. Zhang, Q. Hu, H. Fu, J. T. Zhou, and X. Peng, "Provable Dynamic Fusion for Low-Quality Multimodal Data", in ICML, 2023.
• H. Ma, Q. Zhang, C. Zhang, B. Wu, H. Fu, J. T. Zhou, and Q. Hu, "Calibrating Multimodal Learning", in ICML, 2023. (Oral)
• J. Wu, C. Zhang, Z. Li, H. Fu, X. Peng, and J. T. Zhou, "dugMatting: Decomposed-Uncertainty-Guided Matting", in ICML, 2023. [Code]
• H. Ma, C. Zhang, Y. Bian, L. Liu, Z. Zhang, P. Zhao, S. Zhang, H. Fu, Q. Hu, and B. Wu "Fairness-guided Few-shot Prompting for Large Language Models", in NeurIPS, 2023. [Code]
• K. Zou, T. Lin, X. Yuan, H. Chen, X. Shen, M. Wang, and H. Fu, "Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions", in MICCAI, 2023. [Code]
• M. Wang, L. Wang, X. Xu, K. Zou, Y. Qian, R. Goh, Y. Liu, and H. Fu, "Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging", in MICCAI, 2023.
• Z. Chen, Y. Zhou, A. Tran, J. Zhao, L. Wan, G. Ooi, L. Cheng, C. H. Thng, X. Xu, Y. Liu, and H. Fu, "Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment", in MICCAI, 2023.
• K. Ren, K. Zou, X. Liu, Y. Chen, X. Yuan, X. Shen, M. Wang, and H. Fu, "Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation", in MICCAI, 2023. [Code]
• Y. Qian, L. Li, H. Fu, M. Wang, X. Xu, Q. Peng, Y. C. Tham, C. Cheng, Y. Liu, and R. Goh, "Category-independent Visual Explanation for Medical Deep Network Understanding", in MICCAI, 2023.
• Y. Xu, M. Zhou, Y. Feng, X. Xu, H. Fu, R. Goh, and Y. Liu, "Minimal-supervised Medical Image Segmentation via Vector Quantization Memory", in MICCAI, 2023.
• J. Lin, Q. Dai, L. Zhu, H. Fu, Q. Wang, W. Li, W. Rao, X. Huang, and L. Wang, "Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos", in MICCAI, 2023. [Code] (Oral)
• T. Chen, L. Mou, D. Zhang, M. Liu, X. Xu, H. Fu, Y. Zhao, and J. Zhang, "RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization", in MICCAI, 2023. [Code]
• H. Li, H. Li, W. Zhao, H. Fu, X. Su, Y. Hu, and J. Liu, "Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation", in MICCAI, 2023. [Code]
• Y. Yang, H. Fu, A. Aviles-Rivero, C.-B. Schönlieb, and L. Zhu, "DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification", in MICCAI, 2023. [Code]
• L. Hao, Y. Hu, W. Lin, Q. Wang, H. Li, H. Fu, J. Duan, and J. Liu, "ACT-Net: Anchor-context Action Detection in Surgery Videos", in MICCAI, 2023. (Oral)
• J. Zhang, Y. Hu, X. Qi, T. Meng, L. Wang, H. Fu, M. Yang, and J. Liu, "Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation", in MICCAI, 2023.
• S. Liu, J. Hao, Y. Xu, H. Fu, X. Guo, J. Zhang, Y. Zheng, Y. Liu, J. Liu, and Y. Zhao, "Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images", in MICCAI, 2023.
• Y. Zhang, R. Xi, H. Fu, D. Towey, R. Bai, R. Higashita, and J. Liu, "Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network", in MICCAI, 2023.
• C. Qin, J. Cao, H. Fu, R. Anwer, and F. Shahbaz, "A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos", in MICCAI, 2023. [Code]
• S. Li, R. Higashita, H. Fu, H. Li, J. Niu, and J. Liu, "Content Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling", in MICCAI, 2023.

2022:

• W. Wang, Q. Lai, H. Fu, J. Shen, H. Ling, and R. Yang, "Salient Object Detection in the Deep Learning Era: An In-Depth Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Project] "ESI Highly Cited Paper"
• C. Zhang, Y. Cui, Z. Han, J. T. Zhou, H. Fu, and Q. Hu, "Deep Partial Multi-View Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Code] "ESI Highly Cited Paper"
• D.-P. Fan, T. Li, Z. Lin, G.-P. Ji, D. Zhang, M.-M. Cheng, H. Fu, and J. Shen, "Re-thinking Co-Salient Object Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Chinese version] [Project] [Code] "ESI Highly Cited Paper"
• J. Hao, F. Li, H. Hao, H. Fu, Y. Xu, R. Higashita, X. Zhang, J. Liu, and Y. Zhao, "Hybrid Variation-aware Network for Angle-closure Assessment in AS-OCT", IEEE Transactions on Medical Imaging (TMI), 2022.
• H. Li, H. Liu, Y. Hu, H. Fu, Y. Zhao, H. Miao, and J. Liu, "An Annotation-free Restoration Network for Cataractous Fundus Images", IEEE Transactions on Medical Imaging (TMI), 2022. [Code]
• K. Zhou, J. Li, W. Luo, Z. Li, J. Yang, H. Fu, J. Cheng, J. Liu, and S. Gao, "Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images", IEEE Transactions on Medical Imaging (TMI), 2022.
• A. He, K. Wang, T. Li, W. Bo, H. Kang and H. Fu, "Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation", IEEE Transactions on Medical Imaging (TMI), 2022. [Code]
• H. Fang, F. Li, H. Fu, X. Sun, ..., X. Zhang, and Y. Xu, "ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images", IEEE Transactions on Medical Imaging (TMI), 2022. [Challenge Link]
• X. Wang, L. Zhu, S. Tang, H. Fu, P. Li, F. Wu, Y. Yang, and Y. Zhuang, "Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images", IEEE Transactions on Image Processing (TIP), 2022. [Code]
• X. Zhang, Z. Xiao, H. Fu, Y. Hu, Jin Yuan, Y. Xu, R. Higashita, and J. Liu, "Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images", Medical Image Analysis (MedIA), 2022.
• L. Gao, H. Fu, L. Li, Y. Chen, M. Xu, and C.-Z. Xu "FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction", in CVPR, 2022. [Code]
• X. Liang, Y. Lin, H. Fu, L. Zhu, and X. Li "RSCFed: Random Sampling Consensus Federated Semi-supervised Learning", in CVPR, 2022. [Code]
• B. Li, Z. Han, H. Li, H. Fu, and C. Zhang, "Trustworthy Long-Tailed Classification", in CVPR, 2022. [Code]
• R. Gao, Q. Guo, F. J.-Xu, H. Yu, H. Fu, W. Feng, Y. Liu, and S. Wang, "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection", in CVPR, 2022. [Code]
• S. Wang, L. Zhu, H. Fu, J. Qin, C.-B. Schönlieb, W. Feng, and S. Wang, "Rethinking Video Rain Streak Removal: A New Synthesis Model and A Deraining Network with Video Rain Prior", in ECCV, 2022.
• K. Zou, X. Yuan, X. Shen, M. Wang, and H. Fu, "TBraTS: Trusted Brain Tumor Segmentation", in MICCAI, 2022. [Code]
• H. Li, H. Liu, H. Fu, H. Shu, Y. Zhao, X. Luo, Y. Hu, and J. Liu, "Structure-consistent Restoration Network for Cataract Fundus Image Enhancement", in MICCAI, 2022. [Code]
• Z. Lin, J. Lin, L. Zhu, H. Fu, L. Wang, and J. Qin, "A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos", in MICCAI, 2022. [Dataset & Code]
• X. Wang, H. Li, Z. Xiao, H. Fu, Y. Zhao, R. Jin, S. Zhang, W. R. Kwapong, Z. Zhang, H. Miao, and J. Liu, "Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity", in MICCAI, 2022.
• H. Liu, H. Li, H. Fu, R. Xiao, Y. Gao, Y. Hu, and J. Liu, "Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network", in MICCAI, 2022. [Code]
• Y. Zhou, S. Bai, T. Zhou, Y. Zhang, and H. Fu, "Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis", in MICCAI, 2022.
• Y. Bai, J. Hao, H. Fu, Y. Hu, X. Ge, J. Liu, Y. Zhao, and J. Zhang, "Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography", in MICCAI, 2022.
• J. Chen, L. Mou, S. Ma, H. Fu, L. Guo, Y. Zheng, Y. Zhao, and J. Zhang, "NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation", in MICCAI, 2022.
• W. Lin, Y. Hu, L. Luo, D. Zhou, M. Yang, H. Fu, C.-K. Chui, and J. Liu, "Instrument-tissue Interaction Quintuple Detection in Surgery Videos", in MICCAI, 2022.

2021:

• A. He, T. Li, N. Li, K. Wang, and H. Fu, "CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading", IEEE Transactions on Medical Imaging (TMI), 2021. [Code] "ESI Highly Cited Paper"
• Z. Shen, H. Fu, J. Shen, and L. Shao, "Modeling and Enhancing Low-quality Retinal Fundus Images", IEEE Transactions on Medical Imaging (TMI), 2021. [Code] [EyeQ Dataset]
• Y. Ma, H. Hao, J. Xie, H. Fu, J. Zhang, J. Yang, Z. Wang, J. Liu, Y. Zheng, and Y. Zhao, "ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model", IEEE Transactions on Medical Imaging (TMI), 2021. [Code] [Data] "ESI Highly Cited Paper"
• Y. Zhou, T. Zhou, T. Zhou, H. Fu, and L. Shao, "Contrast-Attentive Thoracic Disease Recognition with Dual-Weighting Graph Reasoning", IEEE Transactions on Medical Imaging (TMI), 2021.
• Y. Ma, J. Liu, Y. Liu, H. Fu, Y. Hu, J. Cheng, H. Qi, Y. Wu, J. Zhang, and Y. Zhao, "Structure and Illumination Constrained GAN for Medical Image Enhancement", IEEE Transactions on Medical Imaging (TMI), 2021. [Code]
• T. Li, W. Bo, C. Hu, H. Kang, H. Liu, K. Wang, and H. Fu, "Applications of Deep Learning in Fundus Images: A Review", Medical Image Analysis (MedIA),2021. [Project] "ESI Highly Cited Paper"
• C. Xue, L. Zhu, H. Fu, X. Hu, X. Li, H. Zhang, and P.-A. Heng, "Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images", Medical Image Analysis (MedIA),2021. [Code]
• J. Fang, H. Fu, and J. Liu, "Deep Triplet Hashing Network for Case-based Medical Image Retrieval", Medical Image Analysis (MedIA),2021. [Code]
• Z. Wan, C. Zhang, Y. Geng, H. Fu, X. Peng, P. Zhu, and Q. Hu, "Cross-View Equivariant Auto-Encoder", in ICME, 2021. "Best Paper Award of ICME 2021" (link)
• Z. Han, C. Zhang, H. Fu, and J. T. Zhou, "Trusted Multi-View Classification", in ICLR, 2021. [Code]
• H. Ma, Z. Han, C. Zhang, H. Fu, J. T. Zhou, and Q. Hu, "Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions", in NeurIPS, 2021. [Code]
• Q. Fan, D.-P. Fan, H. Fu, C.-K. Tang, L. Shao, and Y.-W. Tai, "Group Collaborative Learning for Co-Salient Object Detection", in CVPR, 2021. [Code]
• Z. Chen, L. Wan, L. Zhu, J. Shen, H. Fu, W. Liu, and J. Qin, "Triple-cooperative Video Shadow Detection", in CVPR, 2021. [Dataset] [Code]
• T. Zhou, H. Fu, G. Chen, Y. Zhou, D.-P. Fan, and L. Shao, "Specificity-preserving RGB-D Saliency Detection", in ICCV, 2021. [Code]
• Y. Zhou, L. Huang, T. Zhou, H. Fu, and L. Shao, "Visual-Textual Attentive Semantic Consistency for Medical Report Generation", in ICCV, 2021.
• X. Zhang, Z. Wu, Z. Weng, H. Fu, J. Chen, Y.-G. Jiang, and L. Davis, "VideoLT: Large-scale Long-tailed Video Recognition", in ICCV, 2021. [Dataset] [Code]
• Y. Zhang, L. Zhu, W. Feng, H. Fu, M. Wang, Q. Li, C. Li, and S. Wang, "VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection", in ICCV, 2021. [Code and Dataset]
• C.-M. Feng, H. Fu, S. Yuan, and Y. Xu, "Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network", in MICCAI, 2021. [Code]
• C.-M. Feng, Y. Yan, H. Fu, L. Chen, and Y. Xu, "Task Transformer Network for Joint MRI Reconstruction and Super-Resolution", in MICCAI, 2021. [Code]
• G.-P. Ji, Y.-C. Chou, D.-P. Fan, G. Chen, H. Fu, D. Jha, and L. Shao, "Progressively Normalized Self-Attention Network for Video Polyp Segmentation", in MICCAI, 2021. [Chinese version] [Code] ( MICCAI Student Travel Award )
• S. Li, X. Sui, J. Fu, H. Fu, X. Luo, Y. Feng, X. Xu, Y. Liu, D. Ting, and R. Goh, "Few-Shot Domain Adaptation with Polymorphic Transformers", in MICCAI, 2021. [Code]
• Y. Zhang, R. Higashita, H. Fu, Y. Xu, Y. Zhang, H. Liu, J.Zhang, and J. Liu, "A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation", in MICCAI, 2021.

2020:

• C. Zhang, H. Fu, Q. Hu, X. Cao, Y. Xie, D. Tao, and D. Xu, "Generalized Latent Multi-view Subspace Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. [Code] [Data] "ESI Highly Cited Paper"
• C. Zhang, H. Fu, J. Wang, Q. Hu, X. Cao, and W. Li, "Tensorized Multi-View Subspace Representation Learning", International Journal of Computer Vision (IJCV), 2020. [Code]
• T. Zhang, J. Cheng, H. Fu, Z. Gu, Y. Xiao, K. Zhou, S. Gao, R. Zheng, and J. Liu, "Noise Adaptation Generative Adversarial Network for Medical Image Analysis", IEEE Transactions on Medical Imaging (TMI), 2020.
• D.-P. Fan, T. Zhou, G.-P. Ji, Y. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao, "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images", IEEE Transactions on Medical Imaging (TMI), 2020. [Code] "ESI Highly Cited Paper"
• T. Zhou, H. Fu, J. Shen, G. Chen, and L. Shao, "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis", IEEE Transactions on Medical Imaging (TMI), 2020. [Code]
• H. Fu, F. Li, X. Sun, ..., X. Zhang, and Y. Xu, "AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography", Medical Image Analysis (MedIA), 2020. [Challenge Link]
• J. I. Orlando, H. Fu, J. B. Breda, ..., X. Zhang, Y. Xu, and H. Bogunović, "REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs", Medical Image Analysis (MedIA),2020. [Challenge Link] "ESI Highly Cited Paper"
• L. Mou, Y. Zhao, H. Fu, Y. Liu, J. Cheng, Y. Zheng, P. Su, J. Yang, L. Chen, A. F. Frangi, M. Akiba, and J. Liu, "CS^2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging", Medical Image Analysis (MedIA),2020. [Code] "ESI Highly Cited Paper"
• C. Wang, H. Fu, L. Yang, and X. Cao, "Text Co-detection in Multi-view Scene", IEEE Transactions on Image Processing (TIP), 2020.
• T. Zhou, H. Fu, C. Gong, J. Shen, L. Shao, and F. Porikli, "Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation", in CVPR, 2020.
• D.-P. Fan, Z. Lin, G.-P. Ji, D. Zhang, H. Fu, and M.-M. Cheng, "Taking a Deeper Look at the Co-salient Object Detection", in CVPR, 2020. [Project]
• J. Hao, H. Fu, Y. Xu, Y. Hu, F. Li, X. Zhang, J. Liu, and Y. Zhao, "Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT", in MICCAI, 2020.
• H. Hao, H. Fu, Y. Xu, J. Yang, F. Li, X. Zhang, J. Liu, and Y. Zhao, "Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences", in MICCAI, 2020.
• T. Zhou, H. Fu, Y. Zhang, C. Zhang, X. Lu, J. Shen, and L. Shao, "M^2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients", in MICCAI, 2020.
• D.-P. Fan, G.-P. Ji, T. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao, "PraNet: Parallel Reverse Attention Network for Polyp Segmentation", in MICCAI, 2020. [Chinese version] [Code] [Best precision (IIAI-Med) of Medical Image AnalysisEval 2020 Workshop at Medico Track] [ Most Influential Paper (Application) Award in Jittor Developer Conference 2021 , Top-20 Most Cited Paper within 5 Years in MICCAI 2022 ]
• S. Zhang, H. Fu, Y. Xu, Y. Liu, and M. Tan, "Retinal Image Segmentation with a Structure-Texture Demixing Network", in MICCAI, 2020.
• L. Zhu, R. Chen, H. Fu, C. Xie, L. Wang, L. Wan, and P.-A. Heng, "A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation", in MICCAI, 2020.

2019:

• H. Fu, M. Baskaran, Y. Xu, S. Lin, D. W. K. Wong, J. Liu, T. A. Tun, M. Mahesh, S. A. Perera, and T. Aung, "A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images", American Journal of Ophthalmology (AJO), 2019.
• Z. Gu, J. Cheng, H. Fu, K. Zhou, H. Hao, Y. Zhao, T. Zhang, S. Gao, and J. Liu, "CE-Net: Context Encoder Network for 2D Medical Image Segmentation", IEEE Transactions on Medical Imaging (TMI), 2019. [Code] "ESI Highly Cited Paper"
• Z. Tao, H. Liu, H. Fu, and Y. Fu, "Multi-View Saliency-Guided Clustering for Image Cosegmentation", IEEE Transactions on Image Processing (TIP), 2019. Results for [iCoseg] [InterNet] [MSRC] [Pascal10]
• R. Cong, J. Lei, H. Fu, F. Porikli, Q. Huang, and C. Hou, "Video Saliency Detection via Sparsity-based Reconstruction and Propagation", IEEE Transactions on Image Processing (TIP), 2019. [Code]
• C. Guo, C. Li, J. Guo, R. Cong, H. Fu, and P. Han, "Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution", IEEE Transactions on Image Processing (TIP), 2019. [Code]
• C. Zhang, Z. Han, Y. Cui, H. Fu, J. T. Zhou, and Q. Hu, "CPM-Nets: Cross Partial Multi-View Networks", in NeurIPS, 2019. [Code] ( Spotlight , ~ 2.4%)
• C. Zhang, Y. Liu, and H. Fu, "AE^2-Nets: Autoencoder in Autoencoder Networks", in CVPR, 2019. [Code] ( Oral , ~ 5.6%)
• R. Li, C. Zhang, H. Fu, X. Peng, J. T. Zhou, and Q. Hu, "Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering", in ICCV, 2019.
• J. Lee, P. Liu, J. Cheng, and H. Fu, "A Deep Step Pattern Representation for Multimodal Retinal Image Registration", in ICCV, 2019.
• H. Fu, B. Wang, J. Shen, S. Cui, Y. Xu, J. Liu, and L. Shao, "Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces", in MICCAI, 2019. [Dataset and Code]
• Z. Zhang, H. Fu, H. Dai, J. Shen, Y. Pang, and L. Shao, "ET-Net: A Generic Edge-Attention Guidance Network for Medical Image Segmentation", in MICCAI, 2019.
• T. Zhang, H. Fu, Y. Zhao, J. Cheng, M. Guo, Z. Gu, B. Yang, Y. Xiao, S. Gao, and J. Liu, "SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis", in MICCAI, 2019.
• S. Zhang, H. Fu, Y. Yan, Y. Zhang, Q. Wu, M. Yang, M. Tan, and Y. Xu, "Attention Guided Network for Retinal Image Segmentation", in MICCAI, 2019. [Code]
• L. Deng, S. Tang, H. Fu, B. Wang, and Y. Zhang, "Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images", in MICCAI, 2019.
• T. Zhou, M. Liu, H. Fu, J. Wang, J. Shen, L. Shao, and D. Shen, "Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis", in MICCAI, 2019.
• T. Zhou, K. H. Thung, Y. Zhang, H. Fu, J. Shen, D. Shen, and L. Shao, "Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction", in MICCAI, 2019.

2018:

• H. Fu, J. Cheng, Y. Xu, D. W. K. Wong, J. Liu, and X. Cao, "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation", IEEE Transactions on Medical Imaging (TMI), 2018. [Code] "ESI Highly Cited Paper"
• H. Fu, J. Cheng, Y. Xu, C. Zhang, D. W. K. Wong, J. Liu, and X. Cao, "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image", IEEE Transactions on Medical Imaging (TMI), 2018. [Code] "ESI Highly Cited Paper"
• J. Cheng, Z. Li, Z. Gu, H. Fu, D. W. K. Wong, and J. Liu, "Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis", IEEE Transactions on Medical Imaging (TMI), 2018. [Code]
• R. Cong, J. Lei, H. Fu, Q. Huang, X. Cao, and C. Hou, "Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation", IEEE Transactions on Image Processing (TIP), 2018. [Project]
• H. Zhu, R. Vial, S. Lu, X. Peng, H. Fu, Y. Tian, and X. Cao, "YoTube: Searching Action Proposal via Recurrent and Static Regression Networks", IEEE Transactions on Image Processing (TIP), 2018.
• D. Zhang, H. Fu, J. Han, A. Borji, and X. Li, "A Review of Co-saliency Detection Algorithms: Fundamentals, Applications, and Challenges", ACM Transactions on Intelligent Systems and Technology, 2018. "ESI Highly Cited Paper"
• H. Fu, Y. Xu, S. Lin, D. W. K. Wong, B. Mani, M. Mahesh, T. Aung, and J. Liu, "Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT", in MICCAI, 2018.

Before 2017:

• H. Fu, Y. Xu, S. Lin, X. Zhang, D. W. K. Wong, J. Liu, A. F. Frangi, M. Baskaran, and T. Aung, "Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT", IEEE Transactions on Medical Imaging (TMI), 2017.
• H. Fu, D. Xu, and S. Lin, "Object-based Multiple Foreground Segmentation in RGBD Video", IEEE Transactions on Image Processing (TIP), 2017. [Dataset on OneDrive] [Dataset on BaiduYun] (~332MB)
• C. Zhang, H. Fu, Q. Hu, P. Zhu, and X. Cao, "Flexible Multi-view Dimensionality co-Reduction", IEEE Transactions on Image Processing (TIP), 2017. [Code] [Data]
• H. Fu, D. Xu, B. Zhang, S. Lin, and R. K. Ward, "Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph", IEEE Transactions on Image Processing (TIP), 2015. [Code and Dataset]
• X. Cao, Z. Tao, B. Zhang, H. Fu, and W. Feng, "Self-adaptively Weighted Co-saliency Detection via Rank Constraint", IEEE Transactions on Image Processing (TIP), 2014. [Code]
• X. Cao, C. Zhang, C. Zhou, H. Fu, and H. Foroosh, "Constrained Multi-View Video Face Clustering", IEEE Transactions on Image Processing (TIP), 2015. [Project] [Code]
• H. Fu, X. Cao, and Z. Tu, "Cluster-based Co-saliency Detection", IEEE Transactions on Image Processing (TIP), 2013. [Code] "ESI Highly Cited Paper"
• C. Zhang, Q. Hu, H. Fu, P. Zhu, and X. Cao, "Latent Multi-view Subspace Clustering", in CVPR, 2017. [Code] [Data] ( Spotlight , ~ 8%)
• H. Fu, Y. Xu, S. Lin, D. W. K. Wong, and J. Liu, "DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field", in MICCAI, 2016. [Results in OneDrive] [Results in BaiduYun] ["Finalist of the Young Scientist Publication Impact Award at MICCAI 2021", Top-10 Most Cited Paper within 5 Years in MICCAI 2021 ]
• Y. Xu, L. Duan, H. Fu, D. W. K. Wong, B. Mani, T. Aung, and J. Liu, "Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-rank Tensor Recovery", in MICCAI, 2016.
• H. Fu, D. Xu, S. Lin, and J. Liu, "Object-based RGBD Image Co-segmentation with Mutex Constraint", in CVPR, 2015. [Dataset on OneDrive] [Dataset on BaiduYun] (~102MB) [Result on OneDrive] [Result on BaiduYun]
• X. Cao, C. Zhang, H. Fu, S. Liu, and H. Zhang, "Diversity-induced Multiview Subspace Clustering", in CVPR, 2015. [Code] [Data]
• C. Zhang, H. Fu, S. Liu, G. Liu, and X. Cao, "Low-Rank Tensor Constrained Multiview Subspace Clustering", in ICCV, 2015. [Code] [Data]
• H. Fu, D. Xu, B. Zhang, and S. Lin, "Object-based Multiple Foreground Video Co-segmentation", in CVPR, 2014. [Code and Dataset]