联系我们 学校主站

黄建华
教授
博士

电话:
电子邮件:
办公室:
CV下载:

Education:
University of California at Berkeley Statistics Ph.D. (1997)
Beijing University, China Probability and Statistics M.A. (1992)
Beijing University, China Probability and Statistics B.A. (1989)

Working Exerpiences:
Professor Department of Statistics, Texas A&M University 2008-Present
Associate Professor Department of Statistics, Texas A&M University 2005-2008
Assistant Professor Department of Statistics, University of Pennsylvania 1997-2004

Research Expertise:
Statistical learning, regularization methods, multivariate and high-dimensional data, functional and longitudinal data
analysis, nonparametric and semiparametric methods, statistics application in astronomy, biology, business, economics
and engineering

Publications:
 (Last five years, selected from 48 refereed journals)
1. Pourhabib, A., Huang, J. Z. and Ding, Y. (2015). Short-term wind speed forecast using measurements from multiple turbines in a wind farm. Technometrics, 57, to appear.
2. Xu, G., Wang, S. and Huang, J.Z. (2015). Nearly efficient robust estimation and inference based on focused information model averaging. Scandinavian Journal of Statistic, 42, to appear.
3. Zhang, B., Sang, H. and Huang, J. Z. (2015). Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets. Statistica Sinica, 25, 99–114.
4. Jung, Y., Huang, J. Z., Hu, J. (2014). Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA. Journal of American Statistical Association, 109, 1355–1367.
5. L. Zhang, H. Shen, and J. Z. Huang (2013). Robust Regularized Singular Value Decomposition for Two-way Functional Data. Annals of Applied Statistics, 7, 540–1561.
6. Tian S. T., Huang, J.Z., Shen, H. and Li, Z. (2013). EEG/MEG Source Reconstruction with Spatial-temporal Two-Way Regularized Regression. Neuroinformatics, 11(4): 477–93.
7. Sang, H. and Huang, J. Z. (2012). A full-scale approximation of covariance functions for large spatial data sets. Journal of Royal Statistical Society, Series B, 74, 111–132.
8. J. Cao, J. Z. Huang, H. Wu (2012). Penalized nonlinear least squares estimation of time-varying parameters in ordinary differential equations. Journal of Computational and Graphical Statistics, 21, 42–56.
9. Tian S. T., Huang, J.Z., Shen, H. and Li, Z. (2012). A two-way regularization method for MEG source reconstruction. Annals of Applied Statistics, 6, 1021–1046.
10. Chen, L. and Huang, J.Z. (2012). Sparse reduced-rank regression for simultaneous dimension reduction and variable selection. Journal of American Statistical Association, 107, 1533–1545.
11. Xu, G. and Huang, J.Z. (2012). Asymptotic optimality and efficient computation of the leave-one-subject-out cross-validation. Annals of Statistics, 40, 2765–3175.
12. Hays, S., Shen, H. and Huang, J.Z. (2012). Functional dynamic factor models with application to yield curve forecasting. Annals of Applied Statistics, 6, 870–894.
13. Park, C., Huang, J.Z., Ji, J. and Ding, Y. (2012) Segmenting, inference and classification of partially overlapping nanoparticles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 507–522.
14. C. Park, J. Z. Huang, Y. Ding (2011). Domain decomposition approach for fast Gaussian process regression of large spatial datasets. Journal of Machine Learning Research, 12, 1697–1728
15. H. Sang, M. Jun, J. Z. Huang (2011). Covariance approximation for large multivariate spatial datasets with an application to multiple climate model errors. Annals of Applied Statistics, 5, 2519–2548.
16. Lee, M., Shen, H., Huang, J. Z. and Marron J. S. (2010). Biclustering via sparse singular value decomposition. Biometrics, 66, 1087–1095.
17. Park C., Huang, J.Z. and Ding, Y. (2010). A computable plug-in estimator of minimum volume sets for novelty detection. Operations Research, 58, 1469–1480.
18. Lee, S., Huang, J.Z. and Hu, J. (2010). Sparse logistic principal components analysis for binary data. The Annals of Applied Statistics, 4, 1579–1601.
19. Cheng G. and Huang, J. Z. (2010). Bootstrap consistency for general semiparametric M-estimation. The Annals of Statistics, 38, 2884–2915.
20. Zhou, L., Huang, J. Z., Martinez, J.G., Maity, A., Baladandayuthapani, V. and Carroll, R. J. (2010). Reduced rank mixed effects models for spatially correlated hierarchical functional data. Journal of American Statistical Association, 105, 390–400.

Research Grants:
(Last five years)
1. Texas A&M University–NSFC Joint Research Program (2014-2015), $25,000, “Statistical Machine Learning and Data Mining of the LAMOST Spectroscopic Survey,” (PI)
2. Air Force Office of Scientific Research (2013-2015), $611,152, “Dynamic, Data-Driven Modeling of Nanoparticle Self Assembly Processes,” (co-PI; PI: Yu Ding)
3. National Science Foundation (2012-2015), $225,104, “Collaborative Research: New Developments for Analysis of Two-way Structured Functional Data,” (PI)
4. King Abdullah University of Science and Technology (2012-2015), $275,000, “Computational and Statistical Approaches for Protein Structure Prediction and Determination,” (co-PI; PI: Xin Gao)
5. Institute for Applied Mathematics and Computational Science, Texas A&M University (2011-2012), $25,000, “Nonparametric Probabilistic Approach for Modeling the Local Protein Structure”, (PI)
6. National Science Foundation (2010-2014), $179,660, “A New Approach of Statistical Modeling and Analysis of Massive Spatial Data Sets,” (co-PI; PI: Huiyan Sang)
7. Institute of Applied Mathematics and Computational Science, Texas A&M University (2010-2011), $25,000, “Computationally Tractable Approximate Likelihood Inference for Irregularly Spaced Massive Spatial Data Sets,” (PI)
8. National Science Foundation (2009-2013), $262,106, “Statistical Methods for Complex Functional Data,” (co-PI; PI: Lan Zhou)

Awards and Honors:
1. Best Application Paper for IIE Transactions (Quality/Reliability Engineering Focus Issue): Park, C., Huang, J. Z., Huitink, D., Kundu, S., Mallick, B., Liang, H. and Ding, Y. (2012) A Multi-stage, Semiautomated procedure for analyzing the morphology of nanoparticles. IIE Transactions Special issue on Nanomanufacturing, 44, 507–522.
2. Fellow of the American Statistical Association
3. Fellow of the Institute of Mathematical Statistics
4. Member of Editorial Boards: STAT—The ISI’s Journal for the Rapid Dissemination of Statistics Research (2015-Present).