Ping Li
Assistant Professor


Department of Statistical Science
Faculty of Computing and Information Science

pingli [att] cornell [dot] edu

Pictures when I was one year (similar enough)

1188 Comstock Hall
Cornell University
Ithaca, NY 14853

Phone: (1 607) 255 9813
Fax: (1 607) 255 4698

Award

ONR (Office of Naval Research) Young Investigator Award 2009

Education

Ph.D. in Statistics, Stanford University, 2007
M.S. in Electrical Engineering, Stanford University
M.S. in Computer Science, Stanford University

Research Interests

Machine Learning
Randomized Algorithms for Large Data Sets

Teaching

Fall 2008 Theory of Probability
Spring 2009 Theory of Statistics
Spring 2009 Statistical Computing (Three weeks: Feb. 9 - Feb. 27)

Postdoctorate Researcher Positions Available

Selected Recent Papers

Ping Li,
ABC-Boost: Adaptive Base Class Boost for Multi-class Classification,
International Conference on Machine Learning (ICML), 2009.

Ping Li,
Compressed Counting,
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2009.

Ping Li,
Stable Random Projections,
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2008. (arXiv 2006)

Ping Li, Kenneth W. Church and Trevor J. Hastie
One Sketch For All: Theory and Application of Conditional Random Sampling,
Neural Information Processing Systems (NIPS), 2009 (Conference in Dec. 2008)

Ping Li, Chris Burges, and Qiang Wu
McRank: Learning to Rank Using Multiple Classifications and Gradient Boosting,
Neural Information Processing Systems (NIPS), 2008 (Conference in Dec. 2007)

Ping Li, Trevor J. Hastie, and Kenneth W. Church,
Nonlinear Estimators and Tail Bounds for Dimension Reduction in L1 Using Cauchy Random Pr\ ojections,
Journal of Machine Learning Research (JMLR), 2497-2532, 2007.

Ping Li and Kenneth W. Church,
A sketch algorithm for estimating two-way and multi-way associations,
Computational Linguistics 33(3), 305-354, 2007

Ping Li, Debashis Paul, Ravi Narasimhan and John Cioffi,
On the distribution of SINR for the MMSE MIMO receiver and performance analysis,
IEEE Transactions on Information Theory, 52:1, 271-286, 2006.