Education:

• Ph.D., Carnegie Mellon University, 2001, Electrical & Computer Engineering
• M.S., Sichuan University, China, 1992, Optical Information Processing
• B.Sc., Sichuan University, China, 1986, Theoretical Physics

Teaching:

• Machine Learning with Life Science
• Application Computer Systems and Assembly Language
• Statistical Learning: bayesian Approach

Service:

• Chair, IEEE Workshop on Computer Vision Methods for Bioinformatics, 2005
• Chair, DIMACS Workshop on Machine Learning Techniques in Bioinformatics, NJ, July, 2006
• Guest Editor, Special Issue in Advanced Signal/Image Processing Techniques for Bioinformatics for EURASIP Journal on Applied Signal Processing, 2005.

Research:

• Bioinformatics
• Machine Learning
• Statistical Data Analysis

Affiliations:

Memberships:

• IEEE (CS, CIS) Senior Member
• ISCB
• NNS

Honors:

Selected Publications:

• X. Chen and M. Liu, “Prediction of Protein-protein Interactions Using Random Decision Forest Framework,” Bioinformatics, 21(24): 4394-4400, 2005
• J. Yu and X.-W. Chen, “Bayesian Neural Network Approaches to Ovarian Cancer Identification from High-resolution Mass Spectrometry Data,” Bioinformatics, vol. 21 (suppl_1), pp. i487-i494, 2005.
• X. Zheng and X.-w. Chen, “SMO Based Pruning Method for Sparse Least Squares Support Vector Machines,” IEEE Trans. on Neural Networks, vol. 16(6), pp. 1541-1546, 2005.
• X.-w. Chen, “Margin Based Wrapper Methods for Gene Identification Using Microarray,” Neurocomputing, (in press) 2005.
• D. Casasent and X.-W. Chen, “Feature reduction and morphological processing for hyperspectral image data”, Applied Optics, vol. 43 (2), pp.1-10, 2004.
• X.-W Chen, “An Improved Branch and Bound Algorithm for Feature Selection”, Pattern Recognition Letter, vol. 24(12), pp. 1925-1933, 2003.
• X.-W Chen and T. Huang, “Facial Expression Recognition: A Clustering-Based Approach”, Pattern Recognition Letter, vol. 24 (9-10), pp. 1295-1302, 2003.
• D. Casasent and X.-W. Chen, "New training strategies for RBF neural networks for X-ray agricultural product inspection," Pattern Recognition, vol. 36(2), pp. 535-547, 2003.
• D. Casasent and X.-W. Chen, “Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification”, Neural Networks, vol. 16, pp. 529-535, 2003.

Patents: