Xin Tong, Ph.D.

Assistant Professor

Department of Data Sciences and Operations
Marshall School of Business
University of Southern California
Los Angeles, CA 90089

Office: HOH 504
Mailing address: BRI 401
Email: xint AT
Phone: 213-740-7348

  • 2012    Ph.D. in Operations Research    Princeton University
  • 2007    B.S. in Mathematics                   The University of Toronto

Research Interests:
  • Statistical learning theory
  • High-dimensional classification
  • Social and economic networks

Selected Publications
  1. Fan, J., Feng, Y., Jiang, J., and Tong, X. (2015), Feature augmentation via nonparametrics and selection (FANS) in high dimensional classification, Journal of the American Statistical Association, accepted.
  2. Fan, J., Tong, X.*, and Zeng, Y. (2015), Multi-agent inference in social networks: a finite population learning approach, Journal of the American Statistical Association, 110, 149-158.
  3. Tong, X.* (2013), A plug-in approach to Neyman-Pearson classification, Journal of Machine Learning Research14, 3011-3040.
  4. Fan, J., Feng, Y., and Tong, X.* (2012), A road to classification in high dimensional space: the regularized optimal affine discriminant, Journal of the Royal Statistical Society: Series B74, 745-771.
  5. Rigollet, P. and Tong, X. (2011) Neyman-Pearson classification under a strict constraint, the Conference on Learning Theory (COLT).
  6. Rigollet, P. and Tong, X. (2011) Neyman-Pearson classification, convexity and stochastic constraints, Journal of Machine Learning Research, 12, 2825-2849.
    * corresponding author

Selected Awards
  • 2014    Zumberge Individual Fund, University of Southern California
  • 2013    The Zellner Thesis Award in Business and Economic StatisticsAmerican Statistical Association
  • 2011    Laha Travel AwardInstitute of Mathematical Statistics