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Jieping Ye,  Assistant Professor
Department of Computer Science and Engineering

Ira A. Fulton School of Engineering
Brickyard Suite 568, 699 South Mill Avenue
Arizona State University
Box 878809
Tempe, AZ 85287-8809, U.S.A.
Phone: 480-727-7451 (CSE)   480-965-2091 ext 301 (EFG)
Fax:     480-965-2751 (CSE)   480-727-6947 (EFG)
E-mail: jieping.ye@asu.edu

 

I joined the Computer Science and Engineering Department at the Arizona State University in Fall 2005. I am a member of the AI Lab at ASU and a member of  the Evolutionary Functional Genomics (EFG) Center of  the Biodesign Institute at ASU. My research interests lie in machine learning, data mining, and bioinformatics.


Recent Papers

·     Jieping Ye and Tao Xiong. Computational and theoretical analysis of null space and orthogonal linear discriminant analysis. Journal of Machine Learning Research. 7(July): 1183—1204, 2006. PDF

·       Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005. Outstanding Student Paper Award at ICML 2004. PDF  Matlab Code

·        Jieping Ye. Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. Journal of Machine Learning Research. Vo. 6(Apr), pp. 483-502, 2005. PDF   Matlab Code

·        Jieping Ye, Ravi Janardan. Approximate multiple protein structure alignment using the Sum-of-Pairs distance. Journal of Computational Biology,  Vol. 11, No. 5, pp. 986-1000, 2004. PDF  C Code (improved version)

·        Jieping Ye, Ravi Janardan, and Songtao Liu. Pairwise protein structure alignment based on an orientation independent representation of the backbone geometry.  Journal of Bioinformatics and Computational Biology, Vol. 2, No. 4, pp. 699-717, 2004. PDF  Matlab Code

·        Jieping Ye, Tao Li, Tao Xiong, and Ravi Janardan. Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 1, No. 4, pp. 181-190, 2004. PDF  Matlab Code