Huazhu Fu

Senior Scientist
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
Email: hzfu[AT]ieee[DOT]org

Recent News:

• 2021-01: One paper for "Fundus Image Analysis Survey" accepted by MedIA.
• 2021-01: One paper for "Uncertainty Estimation in Multi-view Learning" accepted by ICLR 2021.
• 2021-01: One paper for "Saliency Detection Survey" accepted by IEEE TPAMI.
• 2020-12: One paper for "Fundus Image Enhancement" accepted by IEEE TMI.
• 2020-12: One paper for "OCT-A Vessel Segmentation" accepted by IEEE TMI.
• 2020-11: One paper for "Multi-View Learning" accepted by IEEE TPAMI.
• 2020-10: One paper for "Medical Image Retrieval" accepted by MedIA.
• 2020-10: One paper for "Medical Image Segmentation" accepted by MedIA.
• 2020-09: One paper for "DR Grading in Fundus" accepted by IEEE TMI.
• 2020-07: One paper for "AGE Challenge Summary" accepted by MedIA.

Brief Bio:

I am the Senior Scientist with the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE. I received the Ph.D. degree from Tianjin University, China, in 2013, and then worked as the research fellow at Nanyang Technological University (NTU), Singapore, for two years. From 2015 to 2018, I worked as a Research Scientist with the Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore.

Research Interests:

• Foreground Detection: video/RGB-D saliency detection, co-saliency detection, image/video object segmentation.
  • "Salient Object Detection in the Deep Learning Era: An In-Depth Survey" [Link]
  • "CoSOD3k: Co-Salient Object Detection Dataset and Benchmark" [Link]
• Multi-modal AI: multi-view representation learning, missing modality recovery, multi-view uncertainty estimation.
  • "Deep Partial Multi-View Learning" [Link]
  • "Generalized Latent Multi-view Subspace Clustering" [Code]
• Medical Image Analysis: Any medical application using CV/ML technique to solve the real clinical problem.
  • "Glaucoma Detection in Ocular Imaging" (fundus image [Link], and AS-OCT [Link])
  • "Applications of Deep Learning in Fundus Images: A Review" [Link]
  • "EyeQ: Retinal Image Quality Assessment and Enhancement" [Link]
  • "ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model" [Link]
  • "COVID-19 Imaging-based AI Research Collection" [Link]
  • "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images" [Link]

Academic Services:

• Associate Editor:
  • IEEE Transactions on Medical Imaging (2020 - present),
  • IEEE Journal of Biomedical and Health Informatics (2020 - present),
  • IEEE Access (2018 - present).
• Workshop Chair:
  • OMIA: MICCAI Workshop on Ophthalmic Medical Image Analysis (2018 - present) [Link]
• Challenge Organizer:
  • "REFUGE-2: 2nd Retinal Fundus Glaucoma Challenge" with the MICCAI 2020. [Link]
  • "ADAM Automatic Detection challenge on Age-related Macular degeneration" with the ISBI 2020. [Link]
  • "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]
  • "REFUGE: Retinal Fundus Glaucoma Challenge" with the MICCAI 2018. [Link ] [Summary Paper]
• Area Chair/Senior Program Committee:
  • IJCAI (2021), MICCAI (2021).

Selected Publications:

Full publication list can be found in [Google Scholar] [DBLP]

Preprint:

• Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, and Jianbing Shen, "Re-thinking Co-Salient Object Detection", arXiv, 2020. [Paper] [Project]
• Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, and Yang Liu, "Adversarial Exposure Attack on Diabetic Retinopathy Imagery", arXiv, 2020. [Paper]
• Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, and Ruigang Yang, "Salient Object Detection in the Deep Learning Era: An In-Depth Survey", IEEE TPAMI, in press. [Paper] [Project]
• Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, and Qinghua Hu, "Deep Partial Multi-View Learning", IEEE TPAMI, in press. [Paper] [Code]
• Ziyi Shen, Huazhu Fu, Jianbing Shen, and Ling Shao, "Modeling and Enhancing Low-quality Retinal Fundus Images", IEEE TMI, in press. [Paper] [Code]
• Yuhui Ma, Huaying Hao, Jianyang Xie, Huazhu Fu, Jiong Zhang, Jianlong Yang, Zhen Wang, Jiang Liu, Yalin Zheng, and Yitian Zhao, "ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model", IEEE TMI, in press. [Paper] [Code] [Data]
• Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, and Ling Shao, "Contrast-Attentive Thoracic Disease Recognition with Dual-Weighting Graph Reasoning", IEEE TMI, in press. [Paper]
• Jiansheng Fang, Huazhu Fu, and Jiang Liu, "Deep Triplet Hashing Network for Case-based Medical Image Retrieval", MedIA, in press. [Paper] [Code]
• Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, and Huazhu Fu, "Applications of Deep Learning in Fundus Images: A Review", MedIA, in press. [PDF] [Project]
• Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia and Qinghua Hu, "Deep-LIFT: Deep Label Specific Feature Learning for Image Annotation", IEEE TCyb, in press. [Paper]

2021:

• Along He, Tao Li, Ning Li, Kai Wang, and Huazhu Fu, "CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading", IEEE TMI, 2021. [Paper] [Code]
• Chongyi Li, Runmin Cong, Sam Kwong, Junhui Hou, Huazhu Fu, Guopu Zhu, Dingwen Zhang, and Qingming Huang, "ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection", IEEE TCyb, 2021. [Paper] [Code]
• Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou, "Trusted Multi-View Classification", in ICLR, 2021. [Paper]

2020:

• Changqing Zhang*, Huazhu Fu*, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, and Dong Xu, "Generalized Latent Multi-view Subspace Clustering", IEEE TPAMI, 2020. (*equal contribution) [Paper] [Code] [Data] "ESI Highly Cited Paper", "ESI Hot Paper"
• Changqing Zhang, Huazhu Fu, Jing Wang, Qinghua Hu, Xiaochun Cao, and Wen Li, "Tensorized Multi-View Subspace Representation Learning", IJCV, 2020. [Paper] [Code]
• Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, and Jiang Liu, "Noise Adaptation Generative Adversarial Network for Medical Image Analysis", IEEE TMI, 2020. [Paper]
• Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao, "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images", IEEE TMI, 2020. [Paper] [Code]
• Tao Zhou, Huazhu Fu, Jianbing Shen, Geng Chen, and Ling Shao, "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis", IEEE TMI, 2020. [Paper] [Code]
• Huazhu Fu, Fei Li, Xu Sun, and et.al., "AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography", MedIA, 2020. [Paper] [Challenge Link]
• José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, and et.al., "REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs", MedIA, 2020. [Paper] [Challenge Link]
• Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, and Jiang Liu, "CS^2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging", MedIA, 2020. [Paper] [Code]
• Chuan Wang, Huazhu Fu, Liang Yang, and Xiaochun Cao, "Text Co-detection in Multi-view Scene", IEEE TIP, 2020. [Paper]
• Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, and Jiang Liu, "Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network", IEEE TCyb, 2020. [Paper]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Junhui Hou, Qingming Huang, and Sam Kwong, "Going from RGB to RGBD Saliency: A Depth-guided Transformation Model", IEEE TCyb, 2020. [Paper] [Code]
• Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, and Qinghua Hu, "Hybrid Noise-Oriented Multilabel Learning", IEEE TCyb, 2020. [Paper]
• Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, and Fatih Porikli, "Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation", in CVPR, 2020. [Paper]
• Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, and Ming-Ming Cheng, "Taking a Deeper Look at the Co-salient Object Detection", in CVPR, 2020. [Paper] [Chinese version] [Project]

2019:

• Huazhu Fu, Mani Baskaran, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Tin A. Tun, Meenakshi Mahesh, Shamira A. Perera, and Tin Aung, "A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images", AJO, 2019. [Paper]
• Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, and Jiang Liu, "CE-Net: Context Encoder Network for 2D Medical Image Segmentation", IEEE TMI, 2019. [Paper] [Code] "ESI Highly Cited Paper"
• Zhiqiang Tao, Hongfu Liu, Huazhu Fu, and Yun Fu, "Multi-View Saliency-Guided Clustering for Image Cosegmentation", IEEE TIP, 2019. [Paper]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Fatih Porikli, Qingming Huang, and Chunping Hou, "Video Saliency Detection via Sparsity-based Reconstruction and Propagation", IEEE TIP, 2019. [Paper] [Code]
• Chunle Guo, Chongyi Li, Jichang Guo, Runmin Cong, Huazhu Fu, and Ping Han, "Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution", IEEE TIP, 2019. [Paper] [Code]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, Chunping Hou, "An Iterative Co-saliency Detection Framework for RGBD Images", IEEE TCyb, 2019. [Paper] [Result]
• Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, and Qinghua Hu, "CPM-Nets: Cross Partial Multi-View Networks", in NeurIPS, 2019. (Spotlight, ~ 2.4%) [Paper] [Code]
• Changqing Zhang, Yeqing Liu, and Huazhu Fu, "AE^2-Nets: Autoencoder in Autoencoder Networks", in CVPR, 2019. (Oral, ~ 5.6%) [Paper] [Code]
• Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, and Qinghua Hu, "Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering", in ICCV, 2019. [Paper]
• Jimmy Lee, Peng Liu, Jun Cheng, and Huazhu Fu, "A Deep Step Pattern Representation for Multimodal Retinal Image Registration", in ICCV, 2019. [Paper]

2018:

• Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao, "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation", IEEE TMI, 2018. [Paper] [Code] "ESI Highly Cited Paper"
• Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao, "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image", IEEE TMI, 2018. [Paper] [Code]
• Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, and Jiang Liu, "Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis", IEEE TMI, 2018. [Paper] [Code]
• Runmin Cong, Jianjun Lei, Huazhu Fu, Qingming Huang, Xiaochun Cao, and Chunping Hou, "Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation", IEEE TIP, 2018. [Paper] [Project]
• Hongyuan Zhu, Romain Vial, Shijian Lu, Xi Peng, Huazhu Fu, Yonghong Tian, and Xianbin Cao, "YoTube: Searching Action Proposal via Recurrent and Static Regression Networks", IEEE TIP, 2018. [Paper] "ESI Highly Cited Paper"

2017:

• Huazhu Fu, Yanwu Xu, Stephen Lin, Xiaoqin Zhang, Damon Wing Kee Wong, Jiang Liu, Alejandro F. Frangi, Mani Baskaran, and Tin Aung, "Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT", IEEE TMI, 2017. [Paper]
• Huazhu Fu, Dong Xu, and Stephen Lin, "Object-based Multiple Foreground Segmentation in RGBD Video", IEEE TIP, 2017. [Paper] [Project]
• Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, and Xiaochun Cao, "Flexible Multi-view Dimensionality co-Reduction", IEEE TIP, 2017. [Paper] [Code] [Data]
• Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, and Xiaochun Cao, "Latent Multi-view Subspace Clustering", in CVPR, 2017. (Spotlight, ~ 8%) [Paper] [Code] [Data]

Before 2016:

• Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian, "Saliency-aware Nonparametric Foreground Annotation based on Weakly Labeled Data", IEEE TNNLS, 2016. [Paper]
• Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, and Rabab K. Ward, "Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph", IEEE TIP, 2015. [Paper] [Project] [Code]
• Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, and Hassan Foroosh, "Constrained Multi-View Video Face Clustering", IEEE TIP, 2015. [Paper] [Project] [Code]
• Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, and Wei Feng, "Self-adaptively Weighted Co-saliency Detection via Rank Constraint", IEEE TIP, 2014. [Paper] [Code]
• Huazhu Fu, Xiaochun Cao, Zhuowen Tu, and Dongdai Lin, "Symmetry Constraint for Foreground Extraction", IEEE TCyb, 2014. [Paper]
• Huazhu Fu, Xiaochun Cao, and Zhuowen Tu, "Cluster-based Co-saliency Detection", IEEE TIP, 2013. [Paper] [Code] "ESI Highly Cited Paper"
• Huazhu Fu, and Xiaochun Cao, "Forgery authentication in extreme wide-angle lens using distortion cue and fake saliency map", IEEE TIFS, 2012. [Paper] [Code]
• Huazhu Fu, Dong Xu, Stephen Lin, and Jiang Liu, "Object-based RGBD Image Co-segmentation with Mutex Constraint", in CVPR, 2015. [Paper] [Project]
• Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, and Hua Zhang, "Diversity-induced Multiview Subspace Clustering", in CVPR, 2015. [Paper] [Code] [Data]
• Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, and Xiaochun Cao, "Low-Rank Tensor Constrained Multiview Subspace Clustering", in ICCV, 2015. [Paper] [Code] [Data]
• Huazhu Fu, Dong Xu, Bao Zhang, and Stephen Lin, "Object-based Multiple Foreground Video Co-segmentation", in CVPR, 2014. [Paper]