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Xiaotong Shen
John Black Johnston
Distinguished Professor
School
of Statistics
University of Minnesota
Minneapolis, MN 55455
Office
Phone:
(612) 624-7098
E-mail: xshen@umn.edu
Xiaotong Shen is
the John Black Johnston Distinguished Professor
in the College of Liberal Arts at the University of Minnesota. His areas of interest include machine
learning and data mining, likelihood-based inference, semiparametric and nonparametric models,
model selection and averaging. His 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., and Zhou, H. (2013).
On constrained and regularized high-dimensional regression.
The Annals of the Institute of Statistical Mathematics. 1, 1-26.
- Kim, S., Pan, W. and Shen, X. (2013). A network-based
penalized regression method with application to genomic data.
Biometrics. In press.
-
Xing, S., Ye, J., and Shen, X. (2013). Efficient sparse group
feature selection via nonconvex optimization. Proceedings of the 2013
International Conference on Machine Learning and Applications in Atlanta,
Georgia. In press.
-
Luo, C., Pan, W, and Shen, X (2012).
A two-step regression method with networked predictors. Statistics in
Biosciences. 4, 27-46.
-
Shen, X., Huang, H., and Pan, W. (2012). Simultaneous supervised
clustering and feature selection over a graph. Biometrika, 99, 899-914.
- Shen, X., Pan, W., Zhu, Y. (2012).
Likelihood-based selection and
sharp parameter estimation. Journal of American Statistical Association.
107, 223-232.
- Xing, S., Zhu, Y., Shen, X., and Ye, J. (2012).
Optimal exact rank minimization for noisy data. KDD'12, 480-488.
- Wang, H., Shen, X., and Pan, W. (2011).
Large margin hierarchical classification with exclusive membership. Journal of
Machine Learning Research. 12, 2721-2748.
- Zhang, B. and Shen, X. (2011). Generalized degrees of
freedom and adaptive model selection in linear mixed-effects models.
Statistical Analysis and Data Mining, 56, 574-586.
- 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, 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.
Conferences/Workshops
