Dr. Peng LI
Dept of Engineering
Intelligent Systems Lab
Merchant Venturers' Building
Current Group at UoB:
Previous Group at
I am a postdoctoral research associate at the Department of Engineering Mathematics with Dr. Colin Campbell. Before coming to Bristol, I was in the Department of Computer Science at University College London, with Dr. Simon J. D. Prince.
My research interests include computer vision, machine learning, image analysis and medical signal analysis. In particular, Bayesian approach to face recognition and facial keypoint localization, decision fusion, kernel-based methods, object detection and recognition and imbalanced data problem etc.
My current research is machine learning methods for bioinformatics. At PVL, my research focused on face recognition based on probabilistic approaches. E.g. I proposed to use the same probabilistic model for both face registration and recognition, and proposed a Context based additive logistic model to improve facial keypoint localization under large pose variation. Our probabilistic model is one of the best models in the Labelled Faces in the Wild (LFW) database.
B. Eng. (1993), M. Eng. (1998) North China Electric Power University, China.
Mar. 2007 - Dec. 2007, Jun. 2010 Now, University of Bristol, Postdoctoral Research Associate.
Jan. 2008 - Present, University College London, Postdoctoral Research Associate.
Sep. 2005 - Jan. 2007, Stratech Systems Ltd. Singapore, Software Engineer (Computer Vision).
Jul. 2003 - Nov. 2003, July, 2004---Nov. 2004, Nanyang Technological University, Singapore, Teaching Assistant.
Jul. 1998 - Apr. 2002, North China Electric Power University, China, Lecturer.
Peng Li, Yun Fu, Umar Mohammed, James Elder, and Simon J.D. Prince. Probabilistic Models for Inference About Identity. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 1, pages 144-157, 2012. [pdf] [BibTex]
Yiming Ying and Peng Li, Distance metric learning with eigenvalue optimization. Journal of Machine Learning Research (Special topics on kernel and metric learning), 2011 (to appear). [pdf] [BibTex]
Peng Li, Jonathan Warrell, Jania Aghajanian and Simon J. D. Prince, Context based additive logistic model for facial keypoint localization, 21th British Machine Vision Conference (BMVC), 2010. [pdf] [BibTex]
Peng Li and Simon J. D. Prince. Advance in Face Image Analysis: Techniques and Technologies, chapter Probabilistic Methods for Face Registration and Recognition (In Press). Idea Group Publishing, 2010. [BibTex] PLDA Matlab Code
Yoshiki Mizukami, Katsumi Yamaguchi, Jonathan Warrell, Peng Li, Simon J. D. Prince, CUDA Implementation of Deformable Pattern Recognition and its Application to MNIST Handwritten Digit Database, In 20th International Conference on Pattern Recognition (ICPR), 2010. [BibTex]
Peng Li and Simon. J. D. Prince. Joint and Implicit Registration for Face Recognition, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 15101517, 2009. (Oral presentation: acceptance rate 4.1%) [pdf] [ppt] [BibTex]
Peng Li, Kap Luk Chan and Wen Fang. Hybrid Kernel Machine Ensemble for Imbalanced Data Sets. In 18th International Conference on Pattern Recognition (ICPR06), volume 1, pages 11081111, 2006. [pdf] [BibTex]
Peng Li, Kap Luk Chan, Sheng Fu and Shankar M. Krishnan. Neural Networks in Healthcare: Potential and Challenges, chapter A Concept Learning-based Patient-adaptable Abnormal ECG Beat Detector for Long-term Monitoring of Heart Patients, pages 105128. Idea Group Publishing, 2006. [pdf] [BibTex]
Peng Li, Hai Rong Sun, Kap Luk Chan, Li Hui Zhou, Shankar M. Krishnan. Stacking of SVMs for abnormal region screening in endoscopic images using multisize patches. In Proceedings of 2005 International Conference on Machine Learning and Cybernetics, volume 5, pages 32423247, 2005. [BibTex]
Peng Li, Kap Luk Chan and Shankar M. Krishnan. Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 670675, 2005. . (Acceptance rate 27.9%) [pdf] [BibTex]
Peng Li, Kap Luk Chan, Sheng Fu and Shankar M. Krishnan. An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble. In N. C. Oza, R. Polikar, J. Kittler, and F. Roli, editors, Multiple Classifier Systems, volume 3541 of Lecture Notes in Computer Science, pages 346355. Springer, 2005. [pdf] [BibTex]
Peng Li, Kap Luk Chan, Y. W. Chan. A mixed SVM-based hierarchical learning approach for abnormal ECG beat recognition. In Proceedings of the 1st International Conference on Bioengineering (IBEC 2004), Singapore, 2004. [pdf] [BibTex]
Peng Li, Kap Luk Chan, Shankar M. Krishnan and Yan Gao. Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble. In 17th International Conference on Pattern Recognition (ICPR04), volume 3, pages 774777, 2004. (Acceptance rate 35.1%) [pdf] [BibTex]
Peng Li, Shankar M. Krishnan, Kap Luk Chan and Yan Gao. Abnormal Region Detection in Colonoscopic Images using Novelty Detection Technique. In Proceedings of 7th International Workshop on Advanced Image Technology (IWAIT 2004), Singapore, 2004. [BibTex]
Current Supervisor: Dr. Colin Campbell
Previous Supervisor: Dr. Simon J. D. Prince
Ph.D. Thesis Advisor: Dr. Kap Luk Chan
Previous Teammate: Dr. Lei Wang
Previous Teammate: Dr. Yiming Ying