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Jieping Ye, Assistant Professor
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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 include machine learning, data mining, and bioinformatics.
SLEP:
A Sparse Learning Package
Recent Papers (More papers)
· Shuiwang
Ji, Liang Sun, Rong Jin, Sudhir Kumar, and Jieping Ye. Automated annotation of Drosophila
gene expression patterns using a controlled vocabulary. Bioinformatics, 24(17):1881-1888, 2008. PDF
·
Liang Sun, Shuiwang Ji, and Jieping Ye. Adaptive
Diffusion Kernel Learning from Biological Networks for Protein Function
Prediction. BMC Bioinformatics.
9:162, 2008. PDF
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Jieping
Ye, Shuiwang Ji, and Jianhui Chen. Multi-class Discriminant Kernel Learning via
Convex Programming. Journal of
Machine Learning Research. 9(Apr):719-758. PDF
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Jieping
Ye et al. Heterogeneous data fusion
for Alzheimer's disease study. The
Fourteenth ACM SIGKDD International Conference On Knowledge Discovery and Data
Mining (SIGKDD 2008), pp. 1025-1033. PDF
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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)
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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
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