Academic Staff


Assistant Professor

Dr. Guo Xin
郭昕博士

TU825, Yip Kit Chuen Bldg.

34003751

Personal Website


Qualifications
  • BSc, Beijing Normal University, 2006
  • MPhil, City University of Hong Kong, 2008
  • PhD, City University of Hong Kong, 2011 
Research Interests
  • Statistical learning theory 

 

Selected Publications
  • Kenneth C. Land, Qiang Fu, Xin Guo, Sun Y. Jeon, Eric N. Reither, and Emma Zhang, Playing with the rules and making misleading statements: a response to Luo, Hodges, Winship, and Powers, (invited article), American Journal of Sociology, to appear.
  • Kevin A. McGoff, Xin Guo, Anastasia Deckard, Christina M. Kelliher, Adam R. Leman, Lauren J. Francey, John B. Hogenesch, Steven B. Haase, and John L. Harer, The Local Edge Machine: Inference of Dynamic Models of Gene Regulation, Genome Biology, 17:214, 2016.
  • Xin Guo, Jun Fan, and Ding-Xuan Zhou, Sparsity and error analysis of empirical feature-based regularization schemes, Journal of Machine Learning Research, 17(89):1-34, 2016.
  • Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, and Stephen Smale, Introduction to the peptide binding problem of computational immunology: new results, Foundations of Computational Mathematics, 14(5):951-984, October 2014.
  • Xin Guo, and Ding-Xuan Zhou, An empirical feature-based learning algorithm producing sparse approximations, Applied and Computational Harmonic Analysis, 32:389-400, 2012.
  • Xin Guo, Learning gradients via an early stopping gradient descent method, Journal of Approximation Theory, 162:1919-1944, 2010.
  • Lei Shi, Xin Guo, and Ding-Xuan Zhou, Hermite learning with gradient data, Journal of Computational and Applied Mathematics, 233:3046-3059, 2010.


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