Xiaotong Shen's  Home Page

Xiaotong Shen

Professor
School of Statistics
University of Minnesota 
381 Ford Hall
Minneapolis, MN 55455

Office Phone:  (612) 624-7098
E-mail:   xshen@umn.edu

   My areas of interest include machine learning and data mining, likelihood-based inference, semiparametric and nonparametric models, model selection and averaging. My current research effort is mainly devoted to the further development of structured learning as well as high-dimensional/high-order analysis. The targeted application areas are biomedical sciences and engineering.

Manuscripts:  ( Supported by NSF under Grants DMS-0906616 and NIH under Grant 2R01GM081535)

.  Shen, X., Pan, W., Zhu, Y. (2011). Likelihood-based selection and sharp parameter estimation. Journal of American Statistical Association. To appear.
.  Wang, H., Shen, X., and Pan, W. (2011). Large margin hierarchical classification with exclusive membership. Journal of Machine Learning Research. 12, 2721-2748.
.  Xie, B., Pan, W., and Shen, X. (2010). Penalized mixture of factor analyzers with application to variable selection in clustering high-dimensional data. Bioinformatics, 26, 501-508.
.  Pan, W., Fan, H., and Shen, X. (2010). Test selection with application to detecting disease association with multiple SNPs. Human Heredity, 69, 120-130.
.  Zhang, Y., and Shen, X. (2010). Model selection for high-dimensional data. Statistical Analysis and Data Mining, 3, 350-358.
.  Pan, W., Xie, B., and Shen, X. (2010). Incorporating predictor network in penalized regression with application to microarray data. Biometrics, 66, 474-484.
.  Shen, X., Pan, W., Zhu, Y., and Zhou, H. (2010). On L0 regularization in high-dimensional regression.
.  Shen, X, and Huang, H. (2010). Grouping pursuit in regression. Journal of American Statistical Association. 105, 727–739.
.  Pan, W., Xie, B., and Shen, X. (2010). Incorporating predictor network in penalized regression with application to microarray data. Biometrics. 66, 474-484.
.  Wang, J., Shen, X., and Pan, W. (2009). Large margin hierarchical classification with multiple paths . Journal of American Statistical Association. 104, 1213-1223.
.  Zhou, H., Pan, W., and Shen, X. (2009). Penalized model-based clustering with unconstrained covariance matrices. Electrical Journal of Statistics. 3, 1473-1496.
.  Pan, W., Fan, H., and Shen, X. (2009). Test selection with application to detecting disease association with multiple SNPs. Human Heredity. To appear.
.  Zhu, Y., Shen, X., and Pan, W. (2009). Network-based support vector machines for classification of microarray samples. The proceeding of The Seventh Asia Pacific Bioinformatics Conference, Beijing, China, January 2009. BMC Bioinformatics. 10, S21.
.  Wang, J., Shen, X., and Pan., W. (2009). Efficient large margin semisupervised learning. Journal of Machine Learning Research. 10, 719-742.
.  Wu, S., Shen, X., and Geyer, C. (2009). Adaptive regularization through entire solution surface . Biometrika. 96, 513-527.
.  Xie, B., Pan, W., and Shen, X. (2008). Variable selection in penalized model-based clustering via regularization on grouped parameters. Biometrics, 64, 921-930.
.  Wang, J., Shen, X., and Liu, Y.F. (2008). Probability estimation for large margin classifiers. Biometrika. 95, 149-167.
.  Xie, B., Pan, W., and Shen, X. (2008). Penalized model-based clustering with cluster-specific diagonal covariances and grouped variables. Electrical Journal of Statistics. 2, 168-212.
.  Liu, Y., Zheng, Y., and Shen, X. (2008). Applying the multi-category learning to multiple video object extraction. Pattern Recognition. 9, 2777-2788.
.  Wang, J., Shen, X., and Pan, W. (2007). On transductive support vector machines. Contemporary Mathematics. 443, 7-19.
.  Shen, X., and Wang, L. (2007). Generalization error for multi-class margin classification. Electrical Journal of Statistics. 1, 307-330.
.  Pan, W., and Shen, X. (2007). Semisupervised learning via constraints. Contemporary Mathematics. 443, 193-204.
.  Li, Q., Shen, X., and Pearl, D.  (2007). Bayesian modeling of Individual's hepatotoxicity. Statistics in Medicine. 26, 3591-3611.
.  Wang, J., Shen, Z., and Pan, W.  (2007). On transductive support vector machines.  To appear.
.  Wang, J., and Shen, X.  (2007).  Large margin semi-supervised learning. Journal of Machine Learning Research, 8, 1867-1891.
.  Wang, L., and Shen, X. (2007). On L1-norm multi-class support vector machines: methodology and theory.  Journal of the American Statistical Association. 102, 595-602.
.   Pan, W., and Shen, X.  (2007).  Penalized model-based clustering with application to variable selection. Journal of Machine Learning Research, 8, 1145-1164.


Conferences/Workshops: 
.  Midwest Statistics Research Colloquium, Madison, 2012
.  Current challenges in statistical learning, Banff International Research Station, Canada, 2011
.  IMS Annual Meeting, Joint Statistical Meetings, Washington, D.C, 2009.