Prof. YUEN, Pong Chi
Prof. YUEN, Pong Chi

阮邦志教授
BSc, PhD
Associate Dean of Science (Teaching and Learning) and Chair Professor, Department of Computer Science
https://www.comp.hkbu.edu.hk/~pcyuen/
 

About

P C Yuen received his B.Sc. degree in Electronic Engineering with First Class Honours in 1989 from City Polytechnic of Hong Kong, and his Ph.D. degree in Electrical and Electronic Engineering in 1993 from The University of Hong Kong. He joined the Hong Kong Baptist University in 1993 and, currently is a Professor  of the Department of Computer Science.

Dr. Yuen was a recipient of the University Fellowship to visit The University of Sydney in 1996. In 1998, Dr. Yuen spent a 6-month sabbatical leave in The University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland at College Park. From June 2005 to January 2006, he was a visiting professor in GRAVIR laboratory (GRAphics, VIsion and Robotics) of INRIA Rhone Alpes, France. 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 was also the director of IAPR/IEEE Winter School on Biometrics 2017.

Dr. Yuen has been actively involved in many international conferences and professional community. He was the track co-chair of the International Conference on Pattern Recognition (ICPR) 2006, the program co-chair of the IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS) 2012 as well as the IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) 2016. He serves as the Program co-chair of International Conference on Pattern Recognition and Artificial Intelligence in 2018. Currently, Dr. Yuen is the Vice President (Technical Activities) of the IEEE Biometrics Council, Editorial Board Member of Pattern Recognition, Associate Editor of IEEE Transactions on Information Forensics and Security, and Senior Editor of SPIE Journal of Electronic Imaging. He also serves as a Hong Kong Research Grant Council Engineering Panel Member.

Dr. Yuen's current research interests include video surveillance, human face recognition, biometric security and privacy.


Research Interests

  • Human face recognition
  • Biometric security and privacy
  • Intelligent video surveillance

Selected Publications

  • X Y Lan, P C Yuen and R Challappa, “Robust MIL-Based Feature Template Learning for Object Tracking”, The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), Feb 2017.
  • S Q Liu, P C Yuen, S Zhang and G Zhao, “3D Mask Face Anti-spoofing with Remote Photoplethysmography” European Conference on Computer Vision (ECCV), Oct 2016.
  • M H Lim and P C Yuen, “Entropy measurement for biometric verification systems”, IEEE Transactions on Cybernetics, Vol. 46, No. 5, pp. 1065-1077, May 2016.
  • X Y Lan, J H Ma, P C Yuen and R Chellappa, “Joint sparse representation and robust feature-level fusion for multi-cue visual tracking”, IEEE Transactions on Image Processing (TIP), Vol. 24, No. 12, pp. 5826-5841, 2015
  • J H Ma, J W Li, P C Yuen and P Li, “Cross-domain person re-identification using domain adaptation ranking SVMs”, IEEE Transactions on Image Processing (TIP), Vol. 24, No. 5, pp. 1599-1613, 2015.
  • J H Ma and P C Yuen, “Reduced analytic dependency modeling: Robust fusion for visual recognition”, International Journal of Computer Vision (IJCV), Vol. 109, Issue 3, pp. 233-251, September 2014.
  • X Y Lan, J H Ma and P C Yuen, “Robust Multi-task Joint Sparse Representation for multi-cue visual tracking”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
  • J H Ma, P C Yuen, W W Zou and J H Lai, "Supervised spatio-temporal neighborhood topology learning for action recognition", IEEE Transactions on Circuit Systems and Video Technology (TCSVT), Vol. 23, No. 8, pp. 1447-1460, August 2013.
  • J H Ma, P C Yuen and J H Lai, "Linear dependency modeling for classifier fusion and feature combination", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 35, No. 5, pp. 1135-1148, May 2013.
  • W W Zou, P C Yuen, R Chellappa, "Low-resolution face tracker robust to illumination variations", IEEE Transactions on Image Processing (TIP), Vol. 22, No. 5, pp. 1726-1739, May 2013.