Huazhu FU

Open Positions:

Recent News:

Professional Activities:

• Memberships:
  • IEEE Senior Member.
  • Member of the IEEE Bio Imaging and Signal Processing Technical Committee (BISP TC).
• Associate Editor:
  • IEEE Trans. on Medical Imaging (IEEE TMI, IF=11.037), 2020 - present.
  • IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS, IF=14.255), 2022 - present.
  • IEEE Journal of Biomedical and Health Informatics (IEEE JBHI, IF=7.021), 2020 - present.
  • Scientific Reports, 2021 - present.
  • IEEE Access, 2018 - present.
• Guest Editor:
  • IEEE TMI, special issue on “Geometric Deep Learning in Medical Imaging”, 2021. [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, 2022), IJCAI (2021), ACM MM Asia (2021), AAAI (2022), MIDL (2022), ICIP (2022), BHI (2022).
• Challenge Organizer:
  • "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]
  • "REFUGE: Retinal Fundus Glaucoma Challenge" with the MICCAI 2018. [Link] [Summary Paper]
• Workshop Chair:
  • MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), 2018 - present [Link]
  • MICCAI Workshop on Resource-Efficient Medical Image Analysis (REMIA), 2022 [Link]

Recognitions:

• 2022 Best Paper Award of Ophthalmic Medical Image Analysis Workshop in MICCAI.
• 2022 Best Paper Runner-up Award of Resource-Efficient Medical Image Analysis Workshop in MICCAI.
• 2021 Best Paper Award in IEEE International Conference on Multimedia & Expo (ICME). [Link]
• 2021 Top 2% Scientists Worldwide, identified by Stanford University. [Link]
• 2021 Finalist of the Young Scientist Publication Impact Award in MICCAI.
• 2021 Most Influential Paper (Application) Award in Jittor Developer Conference.
• IEEE TMI Distinguished Reviewer Gold Level, 2020-2022.
• 2021 Outstanding Reviewer in CVPR.
• 2014 China Computer Federation (CCF) Outstanding Dissertation Nomination. [Link]

Highlighted Publications:

• "Transformers in Medical Imaging: A Survey",
  Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, and Huazhu Fu,
  arXiv, arXiv:2201.09873. [Project]
• "Consistency and Diversity induced Human Motion Segmentation",
  Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, and Jianbing Shen,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), in press.
• "Trusted Multi-View Classification with Dynamic Evidential Fusion",
  Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), in press. [Code]
• "Re-thinking Co-Salient Object Detection",
  Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, and Jianbing Shen,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022. [Chinese version] [Project] [Code]
• "Salient Object Detection in the Deep Learning Era: An In-Depth Survey",
  Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling, and Ruigang Yang,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022. [Project]
  (ESI Highly Cited Paper, Top-50 Most Frequently Accessed Documents in IEEE TPAMI")
• "Deep Partial Multi-View Learning",
  Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, and Qinghua Hu,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022. [Code]
  (ESI Highly Cited Paper)
• "Applications of Deep Learning in Fundus Images: A Review",
  Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, and Huazhu Fu,
  Medical Image Analysis (MedIA), 2021. [Project]
  (ESI Highly Cited Paper)
• "Generalized Latent Multi-view Subspace Clustering",
  Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, and Dong Xu,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020. [Code] [Data]
  (ESI Highly Cited Paper)
• "Tensorized Multi-View Subspace Representation Learning",
  Changqing Zhang, Huazhu Fu, Jing Wang, Qinghua Hu, Xiaochun Cao, and Wen Li,
  International Journal of Computer Vision (IJCV), 2020. [Code]
• "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images",
  Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao,
  IEEE Transactions on Medical Imaging (IEEE TMI), 2020. [Code]
  (ESI Highly Cited Paper, Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022, Top-50 Most Frequently Accessed Documents in IEEE TMI")
• "REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs",
  José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, and et.al.,
  Medical Image Analysis (MedIA), 2020. [Challenge Link]
  (ESI Highly Cited Paper, The Most Cited Articles in MedIA")
• "CE-Net: Context Encoder Network for 2D Medical Image Segmentation",
  Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, and Jiang Liu,
  IEEE Transactions on Medical Imaging (IEEE TMI), 2019. [Code]
  (ESI Highly Cited Paper, Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022, Top-50 Most Frequently Accessed Documents in IEEE TMI")
• "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation",
  Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao,
  IEEE Transactions on Medical Imaging (IEEE TMI), 2018. [Code]
  (ESI Highly Cited Paper, Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022)
• "Cluster-based Co-saliency Detection",
  Huazhu Fu, Xiaochun Cao, and Zhuowen Tu,
  IEEE Transactions on Image Processing (IEEE TIP), 2013. [Code]
  (ESI Highly Cited Paper)

Major Research Grants:

• Principal Investigator, "Robust and Trustworthy AI system for Multi-modality Healthcare", A*STAR SERC Central Research Fund, 2022-2025.
• Principal Investigator, "Efficient and Robust Federated (Un)Learning for Utilizing Large Model on Resource-limited Clients", A*STAR Career Development Fund, 2022-2024.
• Principal Investigator, "Trustworthy and Data-efficient Multi-modality Learning for Healthcare", A*STAR AI3 HTPO Seed Fund, 2022-2023.
• Co-PI, "RAPIER - Radiology Pathology Information Exchange Resource", AISG Tech Challenge Funding, 2022-2025.
• Co-PI, "High Resolution Imaging of Irido-corneal Angle And Aqueous Outflow System in the Eye Using Bessel-Beam Light Sheet with fluorescence overlay", A*STAR MedTech Innovation, 2016-2018.