Junhui Wang  Associate Professor Department of Mathematics, Statistics, and Computer Science University of Illinois at Chicago Office: 521 SEO Phone: 312-413-2605 Fax: 312-996-1491 Email: junhui AT uic DOT edu

Education

Ph.D. in Statistics, University of Minnesota, 2006.
B.S. in Probability and Statistics, Peking University, 2001.

Teaching

Statistical Consulting Service

Research Interests

• Statistical machine learning and data mining
  
• Model assessment and model selection
• High-dimensional data analysis
  

Publications

• Xu, T. and Wang, J. (2013). An efficient model-free estimation of multiclass conditional probability. JSPI, to appear.
  
• Yuan, T. and Wang, J. (2013). A coordinate descent algorithm for sparse positive definite matrix estimation. SADM, to appear.
  
• Wang, J. (2013). Boosting the generalized margin in cost-sensitive multiclass classification. JCGS, 22, 178-192.
• Wang, J. and Fang, Y. (2013). Analysis of presence-only data via semisupervised learning approaches. CSDA, 59, 134-143.
  
• Sun, W., Wang, J. and Fang, Y. (2012). Regularized k-means clustering of high-dimensional data and its asymptotic consistency. EJS, 6, 148-167.
  
• Fang, Y. and Wang, J. (2012). Selection of the number of clusters via the bootstrap. CSDA, 56, 468-477.
  
• Fang, Y. and Wang, J. (2011). Penalized cluster analysis with applications to family data. CSDA, 55, 2128-2136. 
• Huang, X., Fang, Y. and Wang, J. (2011). Identification of functional rare variants in GWAS using stability selection based on random collapsing. BMC Proceedings, 5(Suppl 9):S58.
• Wang, J. (2010). Consistent selection of the number of clusters via cross validation. Biometrika, 97, 893-904.
  
• Wang, J. and Wang, L. (2010). Sparse supervised dimension reduction in high dimensional classification. EJS, 4, 914-931.
  
• Wang, J., Shen, X. and Pan, W. (2009). On large margin hierarchical classification with multiple paths. JASA, 104, 1213-1223.
  
• Wang, J., Shen, X. and Pan, W. (2009). On efficient large margin semisupervised learning: methodology and theory.  JMLR, 10, 719-742.
  
• Wang, J., Shen, X. and Liu, Y. (2008). Probability estimation for large margin classifiers. Biometrika, 95, 149-167.
  
• Wang, J. and Shen, X. (2007). Large margin semi-supervised learning. JMLR, 8, 1867-1891. 
  
• Wang, J., Shen, X. and Pan, W. (2007). On transductive support vector machine. Contemp. Math., 43, 7-19.
  
• Wang, J. and Shen, X. (2006). Estimation of generalization error: random and fixed inputs. Statist. Sinica, 16, 569-588.