Hao Helen Zhang

Associate Professor

Department of Mathematics, Math 602
University of Arizona
617 North Santa Rita Ave.
P. O. Box 210089
Tucson, AZ 85721-0089

Phone: (520)-621-6868
Fax: (520)-621-8322
E-Mail: hzhang@math.arizona.edu
Website: http://www.math.arizona.edu/~hzhang


Research Interests

Nonparametric regression, variable selection, data mining; Collaborative research in biosciences, survival analysis.

 

Positions

Associate Professor, Department of Mathematics, Universitya of Arizona, 2011-
Regular Member, Graduate Interdisciplinary Program in Statistics, Universitya of Arizona, 2011-
Assistant & Associate Professor, Department of Statistics, North Carolina State University, 2002-

 

Professional Services

Associate Editor, Journal of the American Statistical Association (Theory & Methods) since 2008
Associate Editor, Journal of Computational and Graphical Statistics, since 2012
Associate Editor, Biometrics, since 2008
Associate Editor, Statistical Analysis and Data Mining, since2009

 

Education

Ph.D. Statistics, University of  Wisconsin at Madison, 2002
B.Sc. Mathematics, Beijing University, 1996

 

Teaching

Spring 2012: Theory of Statistics (Undergradate Level) MATH 466
Spring 2012: Theory of Statistics (Graduate Level) MATH 566
Spring 2013: Statistical Machine Learning (Gradate Level) MATH 574M
Spring 2013: Theory of Statistics (Graduate Level) MATH 566
Summer 2013: WAESO Mentoring (Undergraduate) WAESO Summer Project
Spring 2014: Statistical Machine Learning (Gradate Level) MATH 574M
Spring 2014: Theory of Statistics (Graduate Level) MATH 566

 

Software

Download R package and MATLAB code from here

 

Selected Publications

Shuai, Y., Zhang, H. H., and Davidian, M. (2012).
Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials.
Statistics In Medicine,  ,  to appear.

Shin, S., Wu, Y. and Zhang, H. H. (2012).
Two-dimensional Solution Surface for Weighted Support Vector Machines.
Journal of Computational and Graphical Statistics,   to appear.

Cai, N., Lu, W., and Zhang, H. H. (2012).
Flexible semiparametric model for longitudinal data with informative observation times.
Biometrics,   to appear.

Zhang, H. H., Cheng, G., and Liu, Y. (2011).
Linear or nonlinear? Automatic structure discovery for partially linear models.
Journal of the American Statistical Association,  106, 1099-1112.

Liu, Y., Zhang, H. H. and Wu, Y. (2011).
Soft or hard classification? Large margin unified machines.
Journal of the American Statistical Association106, 166-177.

Storlie, C., Bondell, H., Reich, B. and Zhang, H. H. (2011)
The adaptive COSSO for nonparametric surface estimation and model selection.
Statistica Sinica,   21,   679-705.

Zhang, H. H., Lu, W, and Wang, H. (2010).
On sparse estimation for semiparametric linear transformation models.
Journal of Multivariate Analysis,  101, 1594-1606.

Lu, W. and Zhang, H. H. (2010).
On estimation of partially linear transformation models.
Journal of the American Statistical Association105, 683-691.

Wu, Y., Zhang, H. H. and Liu, Y. (2010).
Model-free multiclass probability estimation.
Journal of the American Statistical Association105, 424-436.

Qiao, X., Zhang, H. H. Liu, Y., Todd, M. and Marron, S. (2010)
Weighted distance weighted discrimination and its asymptotic properties.
Journal of American Statistical Association105,  401-414.

Zou, H. and Zhang, H. H.(2009)
On the adaptive elastic-net with a diverging number of parameters.
Annals of Statistics37,  1733-1751.

Zhang, H. H., Liu, Y., Wu, Y. and Zhu, J. (2008)
Variable selection for multicategory SVM via sup-norm regularization.
Electronic Journal of Statistics2,  149-167.

Zhang, H. H. (2008)
Support Vector Machine Classification for High Dimensional Microarray Data Analysis, with Applications in Cancer Research.
High-Dimensional Data Analysis in Cancer Research,  Li and Xu, eds. Springer-Verlag.

Lu, W. and Zhang, H. H. (2007)
Variable selection for proportional odds model.
Statistics in Medicine26,  3771-3781.

Zhang, H. H. and Lu, W. (2007)
Adaptive-LASSO for Cox's proportional hazard model.
Biometrika93, 1-13.

Zhang, H. H. (2006)
Variable selection for Support vector machines via smoothing spline ANOVA.
Statistica Sinica16,  659-674.

Zhang, H. H., Ahn, J., Lin, X., and Park, C. (2006)
Gene selection using support vector machines with nonconvex penalty.
Bioinformatics22,   88-95.

Zhang, H. H. and Lin, Y. (2006)
Component selection and smoothing for nonparametric regression in exponential families.
Statistica Sinica,   16,  1021-1042.

Lin, Y. and Zhang, H. H. (2006)
Component selection and smoothing in multivariate nonparametric regression.
Annals of Statistics34,   2272-2297.

Tang, Y. and Zhang, H. H. (2205)
Multiclass proximal support vector machines.
Journal of Computational and Graphical Statistics,   15,   339-355.

Zhang, H. H., Wahba, G., Lin, Y., Voelker, M., Ferris, Klein, R. and Klein, B. (2004)
Variable selection and model building via likelihood basis pursuit.
Journal of the American Statistical Association, 99, 659-672.

Complete Publication List 

 

Grant Acknowledgment

NSA  Grant, PI, 2012-2013
NIH  Grant R01 CA 085848, Co-I, 2011-2015
NIH  Grant P01 CA 142538, Co-I, 2010-2015
NSF CAREER Award DMS-0645293, PI, 2007 - 2012.
NIH  Grant R01 CA 085848, Co-I, 2007-2011
NSF Grant DMS-0405913, PI, 2004-2007

 

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