About
Pong C Yuen received his Ph.D. degree in Electrical and Electronic Engineering from The University of Hong Kong. He joined the Hong Kong Baptist University in 1993, and served as the Head of Department of Computer Science from 2011 – 2017. Currently, he is a Chair Professor in Computer Science and Associate Dean of Science Faculty, Hong Kong Baptist University.
Over the years, Dr. Yuen has spent his sabbatical and visited a number of universities/research institutes as a visiting professor/scholar, including The University of Sydney (Australia), The University of Maryland at College Park (USA), INRIA Rhone Alpes (France), ETH Zurich (Switzerland), and The University of Bologna (Italy). Dr. Yuen was the director of Croucher Advanced Study Institute (ASI) on biometric authentication in 2004 and the director of Croucher ASI on Biometric Security and Privacy in 2007. He has been serving as the Director of IAPR/IEEE Winter School on Biometrics since 2017.
Dr. Yuen has been actively involved in many international conferences and professional community in the capacity of general/program co-chair, including ICPR 2006, BTAS 2012, ISBA 2016, WIFS 2018, IJCB 2021. He served as Associate Editor of IEEE Transactions on Information Forensics and Security (2014 – 2018, 2021-2022), and received the Outstanding Editorial Board Service Award in 2018. Dr. Yuen has served as the Vice President (Technical Activities) of the IEEE Biometrics Council (2017-2019), and Associate Editor/Senior Editor of SPIE Journal of Electronic Imaging (2012-2019). Currently, Dr. Yuen is serving as the Senior Area Editor of IEEE Transactions on Information Forensics and Security, Editorial Board Member of Pattern Recognition, and Associate Editor of IEEE Transactions on Biometrics, Behaviour and Identity Science. He received the first-prize and second-prize Natural Science Awards from the Guangdong Province and the Ministry of Education, China, respectively. He is a Fellow of IAPR.
Research Interests
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Biometric security and privacy
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Video surveillance
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Medical informatics
Selected Publications
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F Pan, C Yin, S Liu, T Huang, Z Bian and P C Yuen, “BindingSiteDTI: Differential-scale Binding Site Modelling for Drug-Target Interaction Prediction” Bioinformatics, In press, 2024.
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C Yin, S Liu, K Zhou, W S Wong and P C Yuen, “Prompting Vision Foundation Models for Pathology Image Analysis”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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C Yin, S Liu, F Lyu, J Lu, S Darkner, W S Wong and P C Yuen, “XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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J Du, SQ Liu, B Zhang, P C Yuen, “Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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S Liu and P C Yuen, “Robust Remote Photoplethysmography Estimation with Environment Noise Disentanglement", IEEE Transactions on Image Processing (TIP), 2023.
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F Lyu, M Ye, J F Carlsen, K Erleben, S Darkner, and P C Yuen, “Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation”, IEEE Transactions on Medical Imaging (TMI), 2023.
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F Lyu, Y Mang, J H Ma, GLH Wong, T Yip, P C Yuen, “Learning from Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation”, IEEE Transactions on Medical Imaging (TMI), 2022.
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B Yang, A Ma, P C Yuen, “Revealing Task-relevant Model Memorization for Source-Protected Unsupervised Domain Adaptation”, IEEE Transactions on Information Forensics and Security (TIFS), 2022.
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R Shao, P Perera, V M Patel and P C Yuen, “Open-set Adversarial Defense with Clean-Adversarial Mutual Learning”, International Journal of Computer Vision (IJCV), 2022.
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B Y Yang, H W Yeh, T Harada, and P C Yuen, “Model-induced Generalization Error Bound for Information-theoretic Representation Learning in Source-data-free Unsupervised Domain Adaptation”, IEEE Transactions on Image Processing (TIP), 2021.
