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Jieping Ye, Associate Professor
Computer Science and Engineering

School of Computing, Informatics and Decision System 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)   480-965-9916 (CEMI)
Fax:     480-965-2751 (CSE)   480-727-6947 (CEMI)
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 Center for Evolutionary Medicine and Informatics (CEMI) of  the Biodesign Institute at ASU. My research interests include machine learning, data mining, and biomedical informatics.


* SDM 2015: SIAM International Conference on Data Mining, Vancouver, Canada, April 30-May 02, 2015

* BigDat 2015: International Winter School on Big Data, Tarragona, Spain, January 26-30, 2015

* INFORMS 2014: San Francisco, California, November 9-12, 2014

* MLMI 2014: Machine Learning in Medical Imaging (in conjunction with MICCAI 2014), Boston, September 14th, 2014

* BigMine 2014: New York, August 24th, 2014 (in conjunction with KDD 2014)

* MLChina 2014: Machine Learning in China (in conjunction with ICML 2014), Beijing, China, June 25th, 2014

* MLDR 1.0: A software package for multi-label dimensionality reduction

* SDM 2014 Workshop on Heterogeneous Learning

* Book: Multi-Label Dimensionality Reduction

* Text and Data Mining for Biomedical Discovery, PSB 2014 (paper due on July 31st, 2013)

* GIST 1.0: A software package for non-convex sparse learning

* ICML 2013 Workshop on Divergences and Divergence Learning

* Tutorial given at SDM 2012: Multi-Task Learning: Theory, Algorithms, and Applications

* MALSAR 1.0 (Multi-tAsk Learning via StructurAl Regularization) was released, April 2012

* SLEP 4.1 was released, December 2011

* I am on sabbatical leave from August 2011 to May 2012

* Postdoctoral position openings, July 2011 (closed)

* Visual Analytics and Information Fusion Workshop (KDD 2011)

* Mini-symposium on Data Mining for Biomedical Informatics (In conjunction with SDM 2011)

* Large-Scale Structured Sparse Learning (talks given at Cornell, UT Austin, U. Oregon, UMN)

* SLEP 4.0 was released, October 2010

* Tutorial given at SDM 2010: Mining Sparse Representations: Formulations, Algorithms, and Applications

* SLEP 1.0 was released, August 2009

* Tutorial given at SDM 2007: Dimensionality Reduction for Data Mining - Techniques, Applications, and Trends

 

 

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