Dr. Peng LI Dept of Engineering
Mathematics Intelligent Systems
Lab Merchant Venturers' Building Email:
lipeng@ieee.org Current Group at UoB: Intelligent
Systems Laboratory Previous Group at Last Update: 23-Nov-2011 |
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. Ph.D. (2006) Nanyang Technological University, Singapore, supervised by A/P Kap Luk
CHAN & S. M.
Krishnan 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] J.
Aghajanian, J. Warrell,
S.J.D. Prince, P. Li and J.L. Rohn and B.Baum. Patch-based Within-Object Classification. In IEEE
International Conference on Computer Vision (ICCV), 2009. [pdf] [BibTex] Peng
Li, Yiming Ying and Colin Campbell. A Variational Approach to Semi-Supervised Clustering. In European
Symposium on Artificial Neural Networks (ESANN), pages 1116, 2009.
[pdf] [BibTex] Yiming
Ying, Peng Li, Collin Compbell.
A marginalized variational Bayesian approach to the
analysis of array data. In BMC proceedings, volume 2 Suppl
4, 2008. [pdf] [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] Ph.D. Thesis: Peng Li. Kernel Machines and Classifier Ensemble Learning for Biomedical Applications. PhD thesis, Nanyang Technological University, Singapore, 2006. [pdf] [BibTex] Links 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 |