Li Cheng


 TTI-Chicago

6045 S. Kenwood Ave.
Chicago, Illinois 60637
USA

Phone:+1 773 834 6840
Cell    :+1 773 414 2276

E-mail:
licheng at tti-c.org
 

mirror sites:
www.cheng1.net/

http://ttic.uchicago.edu/~licheng
 



 
About Me

 I am a Postdoc Researcher of TTI-Chicago, working with David McAllester.

Previously I was a researcher in the Statistical Machine Learning Group at National ICT Australia (NICTA) and an adjunct research fellow in Australian National University (ANU) during Mar/2006-Nov/2008. Before that, I received my Ph.D. degree from the University of Alberta, Canada, in the fall of 2004 under the supervision of Prof. Terry Caelli, followed by a PostDoc training with Prof. Dale Schuurmans for over one year in the same institute. I received my M.E. in Pattern Recognition and Automatic Control and B.Sc. in Computer Science from Nankai Universityand Jilin University in China, respectively.


 Research Interests

 My general areas of interest are computer vision, image and video processing and machine learning/pattern recognition. More specifically, I am interested in interpreting real-world videos and images fromstatistical learning perspective, as well as analyzing theoretical aspects of the related algorithms.
My past research projects include online learning with applications to video segmentation, continuous action recognition, using machine learning methods to help (multi-view) color image compression and learning graph matching.


Selected Publications (full list)

  • Qinfeng Shi, Li Wang, Li Cheng, and Alex Smola. Discriminative Human Action Segmentation and Recognition using. Semi-Markov Model. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
    Code and Syn Data
    Details     BibTeX     Download: [pdf] 
     
  • Li Cheng, S.V.N. Vishwanathan, and Xinhua Zhang. Consistent image analogies using semi-supervised learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
    Details     BibTeX     Download: [pdf] 
     
  • Jun Zhou, Li Cheng, and Walter Bischof. Prediction and Change Detection In Sequential Data for Interactive Applications. In National Conference on Artificial Intelligence (AAAI), pp. 805–810, AAAI, 2008.
    Details     BibTeX     Download: [pdf] 
     
  • Li Cheng and S.V.N. Vishwanathan. Learning to compress images and videos. In Proceedings of the 24th international conference on Machine learning (ICML), pp. 161–168, ACM, New York, NY, USA, 2007.
    Details     BibTeX     Download: [pdf] 
     
  • Tiberio Caetano, Li Cheng, Quoc Le, and Alex Smola. Learning Graph Matching. In IEEE International Conference on Computer Vision (ICCV), 2007.
    Details     BibTeX     Download: [pdf] 
     
  • Li Cheng, S.V.N. Vishwanathan, Dale Schuurmans, Shaojun Wang, and Terry Caelli. implicit Online Learning with Kernels. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems (NIPS), pp. 249–256, MIT Press, Cambridge, MA, 2007.
    Details     BibTeX     Download: [pdf] 
     
  • Li Cheng, Feng Jiao, Dale Schuurmans, and Shaojun Wang. Variational Bayesian image modelling. In Proceedings of the 22nd international conference on Machine learning (ICML), pp. 129–136, ACM, New York, NY, USA, 2005.
    Details     BibTeX     Download: [pdf] 
     
  • Shaojun Wang, Shaomin Wang, Russ Greiner, Dale Schuurmans, and Li Cheng. Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. In Proceedings of the 22nd international conference on Machine learning (ICML), pp. 948–955, ACM, New York, NY, USA, 2005.
    Details     BibTeX     Download: [pdf] 
     
  • Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, and Alex Smola. Learning Graph Matching. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Jan 2009. (Accepted)
    Details     BibTeX        
  • Li Cheng and Terry Caelli. Bayesian stereo matching. Computer Vision and Image Understanding (CVIU), 106(1):85–96, 2007.
    Details     BibTeX     Download: [HTML] 
     
  • Jun Zhou, Li Cheng, and Walter Bischof. Online Learning with Novelty Detection in Human-guided Road Tracking. IEEE Transactions on Geoscience and Remote Sensing, 45(12):3967–3977, 2007.
    Details     BibTeX     Download: [HTML] 
     
  • Li Cheng and Terry Caelli. Component Optimization for Image Understanding: a Bayesian Approach. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 28(5):684–693, 2006.
    Details     BibTeX     Download: [HTML] 
Teaching
(2008 summer-term)  Graduate University of Chinese Academy of Sciences (GUCAS), China
Deliver a graduate level course on machine learning methods for computer vision (1-credit), when I was visiting GUCAS in the summer.

(2007 Nov.-Dec. Intensive Mode) NICTA Kensington Lab, Sydney
Deliver a graduate level course on machine learning with emphasis in statistical graphical models, for NICTA graduate students affliated with UNSW in Sydney, as part of Masters of Information & Communications Technology (MICT) program.

(2007 Semester 2)  ANU COMP8650: Advanced Statistical Machine Learning
Deliver a graduate level course in ANU as part of the Masters of Information & Communications Technology (MICT) program
 

Activities
A Forthcoming Springer book titiled Machine Learning for Vision-based Motion Analysis, Co-editor

International Conference on Computer vision (ICCV) 2009 workshop: Machine Learning for Vision-based Motion Analysis (MLVMA'09), Co-organizer

European Conference on Computer vision (ECCV) 2008 workshop: Machine Learning for Vision-based Motion Analysis (MLVMA'08), Co-organizer

Machine Learning Summer School 2008 (MLSS08) in Kioloa, Australia, Co-organizer