Ping Li

Recent Photo

Associate Professor, Rutgers University

Department of Statistics, Department of Computer Science
pingli [att] stat.rutgers [dot] edu
475 Hill Center, 404 Hill Center, Piscataway, NJ

Workshop on Theoretical Foundation of BigData, 10/16/2014. Speakers: Dean Foster, Robert Schapire, Mikkel Thorup, and Eric Xing

BigData Seminar, Hill Center 552 (Lunch provided)

Postdoc Researcher positions available in Statistics, Learning, Vision, NLP.

Representative Publications

Ping Li
One Scan 1-Bit Compressed Sensing

Ping Li
CoRE Kernels

Ping Li, Kenneth Church, and Trevor Hastie. (Essential idea on Figure 3)
2005 paper on Conditional Random Sampling (CRS) using smallest k sketches.
2006 paper generalized CRS to real-valued data.

Ping Li, Chris Burges, and Qiang Wu
McRank: Learning to Rank Using Multiple Classifications and Gradient Boosting,

Ping Li, Trevor Hastie, and Kenneth W. Church
Very Sparse Random Projections,

Ping Li, Christian Konig, Anshumali Shrivastava, Josh Moore, Art Owen, Cun-Hui Zhang
Hashing Algorithms for Large-Scale Search & Learning

Ping Li
Adaptive Base Class (ABC) Boosting

Ping Li and Cun-Hui Zhang
Compressed Counting

Ping Li, Gennady Samorodnitsky, and John Hopcroft
Sign Cauchy Projections

Anshumali Shrivastava, Ping Li, and Michael Mitzenmacher
Hashing for Near Neighbor Search




Ph.D. in Statistics, Master in Computer Science, Stanford University.

Research Interests

Statistical Computing, Big Data, Data Mining, Information Retrieval


Srping 2012 Categorical Data
Fall 2008, Fall 2009 Theory of Probability
Spring 2009, Spring 2010, Theory of Statistics
Spring 2008, Spring 2009, Statistical Computing
Spring 2010, Fall 2012, Computationally Intensive Statistical Methods