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Chang-Tsun Li

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Professor, FBCS, Marie Curie Fellow

Room CS228
Department of Computer Science
University of Warwick
Gibbet Hill Road
Coventry CV4 7AL
UK
Tel: +44 (0) 24 7657 3794
C-T.Li@warwick.ac.uk


RESEARCH INTERESTS

Multimedia Forensics & Security, Biometrics, Computer Vision, Image Processing, Machine Learning, Data Mining, Pattern Recognition, Content-Based Image Retrieval, Bioinformatics

BIOGRAPHY

Chang-Tsun Li received the BEng degree in electrical engineering from National Defence University (NDU), Taiwan, in 1987, the MSc degree in computer science from U.S. Naval Postgraduate School, USA, in 1992, and the PhD degree in computer science from the University of Warwick, UK, in 1998. He was an associate professor of the Department of Electrical Engineering at NDU during 1998-2002 and a visiting professor of the Department of Computer Science at U.S. Naval Postgraduate School in the second half of 2001. He is currently a professor of the Department of Computer Science at the University of Warwick, UK. His research interests include multimedia forensics and security, biometrics, data mining, machine learning, data analytics, computer vision, image processing, pattern recognition, bioinformatics, and content-based image retrieval. He was Editor-in-Chief of the International Journal of Digital Crime and Forensics (2009 - 2013) and is currently Associate Editor of the EURASIP Journal of Image and Video Processing (JIVP), Associate Editor-in-Chief of International Journal of Biometrics and Bioinformatics (IJBB) and Associate of Editor of Human-centric Computing and Information Sciences (HCIS). He has involved in the organisation of a number of international conferences and workshops and also served as member of the international program committees for several international conferences. He was the Coordinator and PI of the international joint project entitled Digital Image and Video Forensics (acronym: DIVEFOR) funded through the Marie Curie Action under the EU's Seventh Framework Programme (FP7) from June 2010 to May 2014. He is currently the Coordinator and PI of the EU Horizon 2020 project, entitled Computer Vision Enabled Multimedia Forensics and People Identification (acronym: IDENTITY). The IDENTITY project has a consortium consisting of 16 institutions from 12 countries and will be running for four years, from January 2016 to December 2019.


RESEARCH GROUP

Signal and Image Processing


Major Recent Projects


 

SELECTED PUBLICATIONS

  • X. Lin and C.-T. Li, "Large-Scale Image Clustering based on Camera Fingerprint,” IEEE Transactions on Information Forensics and Security, Accepted for publication /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • F. Azhar and C.-T. Li, "Hierarchical Relaxed Partitioning System for Activity Recognition," IEEE Transactions on Cybernetics, Accepted for publication, 2016 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • X. Lin and C.-T. Li, "Preprocessing Reference Sensor Pattern Noise via Spectrum Equalization," IEEE Transactions on Information Forensics and Security, vol. 11, no. 1, pp. 126-140, Jan 2016 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • Y Guan, C.-T. Li and F. Roli, "On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 7, pp 1521 - 1528, July 2015 Paper/fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg, Supplement/fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • X. Wei, C.-T. Li, Z. Lei, D. Yi and S. Z. Li, "Dynamic Image-to-Class Warping for Occluded Face Recognition," IEEE Transactions on Information Forensics and Security, vol. 9, no. 12, pp. 2035-2050, Dec 2014 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • C.-T. Li and Y. Li, "Color-Decoupled Photo Response Non-Uniformity for Digital Image Forensics," IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 2, pp. 260-271, Feb 2012 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • Y. Yuan , C.-T. Li, O. Windram, "Directed Partial Correlation: Inferring Large-Scale Gene Regulatory Network through Induced Topology Disruptions" PLoS ONE, vol. 6, no. 4, e16835, 2011 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • C.-T. Li, "Source Camera Identification Using Enhanced Sensor Pattern Noise," IEEE Transactions on Information Forensics and Security, vol. 5, no. 2, pp. 280 - 287, June 2010 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • R. Krishna, C.-T Li and V. Buchanan-Wollaston, "A Temporal Precedence Based Clustering Method for Gene Expression Microarray Data," BMC Bioinformatics 2010, 11:68 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • Y. Yang, X.Sun, H. Yang, C.-T. Li and R. Xiao, "A Contrast-Sensitive Reversible Visible Image Watermarking Technique," IEEE Transactions on Circuits and Systems for Video Technology,vol. 19, no. 5, pp. 656 - 667, May 2009 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • C.-H. Wei, Y. Li, W. Y. Chau, and C.-T. Li, "Trademark Image Retrieval Using Synthetic Features for Describing Global Shape and Interior Structure," Pattern Recognition, vol. 42, no. 3, pp. 386-394, 2009 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • C.-T. Li, Y. Yuan, and R. Wilson, "An Unsupervised Conditional Random Fields Approach for Clustering Gene Expression Time Series," Bioinformatics, vol. 24, no. 21, pp. 2467-2473, August 2008 (doi: 10.1093/bioinformatics/btn375) /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • Y. Yuan, C.-T. Li and R. Wilson, "Partial Mixture Model for Gene Expression Tight Clustering," BMC Bioinformatics, 2008, 9:287. (doi:10.1186/1471-2105-9-287) /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg
  • R. Wilson and C.-T. Li, "A Class of Discrete Multiresolution Random Fields and its Application to Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 1, pp. 42-56, 2003 /fac/sci/dcs/people/chang-tsun_li/publications/pdf_logo.jpg