Fudan University

 

School of Computer Science


Mingmin CHI ³ØÃ÷•F

Assistant Professor

 

School of Computer Science

Fudan University

 

 

Address:

School of Computer Science,

Fudan University

227 Yuen Cheng-Ying Computer Building

220 Han Dan Road, Shanghai 200433

China

 

Phone: +86-21-55665495

Email: mmchi AT fudan DOT edu DOT cn

Homepage: in Fudan University


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News


 

Research interests

  • Machine learning
    • Graphical models
    • Kernel-based methods
    • Semi-supervised learning
    • Incremental and online learning
  • Its application to
    • Robotics
    • Semantic web
    • Remote sensing image classification
    • Multi-cross media high-level feature extraction

Scientific Reviewer for

  • Neurocomputing
  • Pattern Recognition Letters
  • Pattern Analysis and Applications Journal
  • IEEE Transaction on Neural Networks
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Transaction on Geoscience and Remote Sensing
  • International Journal Artificial Intelligence in Medicine

Courses

Selected Publications

 

Book Chapters

  • Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, "Semisupervised Support Vector Machines for Hyperspectral Image Classification," In Chein-I Chang, editor, Hyperspectral Data Exploitation: Theory and Applications, pp.275-311, John Wiley & Sons, Inc., May 4, 2007.

Journal Articles

  • Mingmin Chi and Lorenzo Bruzzone, "Semi-Supervised Classification of Hyperspectral Images by SVMs Optimized in the Primal," IEEE Transaction on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1870-1880, Jun. 2007.
  • Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, ""A novel transductive SVM for semisupervised classification of remote sensing images," IEEE Transaction on Geoscience and Remote Sensing. vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
  • Mingmin Chi and Lorenzo Bruzzone, "An ensemble-driven k-NN approach to ill-posed classification problems," Pattern Recognition Letters, vol. 27, no. 4, pp. 301-307, 2005.
  • Mingmin Chi and Lorenzo Bruzzone, "A semilabeled-sample-driven bagging technique for ill-posed classification problems," IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 1, pp. 69-73, January 2005.

Conference Papers

  • Wei Zhang, Xiangyang Xue, Zichen Sun, Yuefei Guo, Mingmin Chi, and Hong Lu, "Efficient Feature Extraction for Image Classification," 11th IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, Oct. 2007.
  • Mingmin Chi and Lorenzo Bruzzone, "Classification of Hyperspectral Remote Sensing Data with Primal Semi-Supervised SVMs," IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS'07), Barcelona, Spain, July 2007.
  • Bin Li, Mingmin Chi, Jianpin Fan and Xiangyang Xue, "Support Cluster Machine," 24th International Conference on Machine Learning (ICML'07), Corvallis, USA, June 2007.
  • Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, "Advanced Semisupervised SVM Approaches to Classification of Hyperspectral Data," IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS'06), Denver, USA, July 2006.
  • Mingmin Chi and Lorenzo Bruzzone, "A novel transductive SVM for semisupervised classification of remote sensing images, " in 11th SPIE International Symposium on Remote Sensing, Bruges, Belgium, September 2005.
  • Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini, "Transductive SVMs for semisupervised classification of hyperspectral data, " in Proceeding of IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS'05), vol. 1, pp. 164-167, Seoul, Korea, July 2005.
  • Mingmin Chi and Lorenzo Bruzzone, "An ensemble-driven k-NN approach to ill-posed classification problems," in 3rd International Workshop on Pattern Recognition in Remote Sensing (PRRS'04), Kingston upon Thames, U.K., August 2004.

PhD Thesis

  • Mingmin Chi, Advanced Semi-Supervised Techniques for the Classification of Remote Sensing Data, University of Trento, Italy, Mar. 2006.

 

 

 

Last modified on Sept. 03, 2008