• First

    First

Zhang, Qingzhao

Professor

中科院概率与数理统计博士

Phone：0592-2180502

Email：qzzhang@xmu.edu.cn

Office：B503, Economics Building

Office Hours:Monday, 2:30pm-4:30pm

Research Fields:

Homepage:



Professor Professor Phone 0592-2180502
Email qzzhang@xmu.edu.cn Office B503, Economics Building
Office Hours Monday, 2:30pm-4:30pm Research Fields
Homepage Job 中科院概率与数理统计博士

个人简介 研究成果 研究项目

Work experience

Professor at  Department of Statistics and Data Science, School of Economics and The Wang Yanan Institute for Studies in Economics, August 2022-present

Associate Professor at  Department of Statistics, School of Economics and The Wang Yanan Institute for Studies in Economics, September 2016-July 2022

Postdoctoral Associate at Yale School of Public Health, Department of Biostatistics, August 2015-August 2016

Research Assistant at Department of Applied Mathematics, The HongKong Polytechnic University, July 2015

 
Postdoctoral Associate at School of Mathematics, University of Chinese Academy of Sciences, June 2013-September 2016
 
 
Education
Ph.D. in Probability and Mathematical Statistics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 2008-2013; 
B.S. in Mathematics and Applied Mathematics, Huazhong University of Science & Technology, 2004-2008
 
Research interests
Semiparametrics, High-dimensional data analysis, Empirical likelihood, Robust statistics, Statistical Machine Learning.
 
Teaching
Advanced Probability Theory, Multivariate Analysis
  1.  Ren, M., Zhang, S., Zhang, Q.* and Ma, S. *(2022). Gaussian Graphical Model-based Heterogeneity Analysis via Penalized Fusion.  Biometrics.
  2. Fang, K., Ren, R,  Zhang, Q. and Ma, S. *(2022) iSFun: an R package for integrative dimension reduction analysis, Bioinformatics, 38(11),3134–3135.
  3. Fang, K., Chen, Y., Ma, S. and Zhang, Q.*(2022). Biclustering Analysis of Functionals via Penalized Fusion.  Journal of Multivariate Analysis, 189, 104874. 
  4. Ren, M., Zhang, S., Ma, S. and Zhang, Q.*(2022). Gene-environment interactions identification via penalized robust divergence. Biometrical Journal, 64(3), 461-480. 
  5. He, B., Zhong, T., Huang, J., Liu, Y., Zhang, Q.* and Ma, S.*(2021). Histopathological Imaging-based Cancer Heterogeneity Analysis via Penalized Fusion with Model Averaging. Biometrics, 77(4), 1397-1408.
  6. Zhang, T., Li, Z., Liu, A. and Zhang, Q.* (2021). Estimation of Partial Derivative Functionals with an Application to Human Mortality Data Analysis. Science China Mathematics, 64(9), 2117--2140.
  7. Zhang, Q., Ma, S. and Huang, Y.*(2021). Promote sign consistency in the joint estimation of precision matrices. Computational Statistics & Data Analysis, 159, 107210.
  8. Ren, M., Zhang, S., Zhang, Q. and Ma, S. *(2021). HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis.  Bioinformatics, 37(18), 3073–3074.
  9. Ren, M., Zhang, S. and Zhang, Q.*(2021). Robust high dimensional variable selection for discrete response model with mislabeled data. Annals of the Institute of Statistical Mathematics, 73, 703--736. 
  10. Lai, P., Wang, F, Zhu, T. and Zhang, Q.* (2021). Model identification and selection for the single-index varying coefficient models. Annals of the Institute of Statistical Mathematics, 73, 457–480.
  11. Wu, M., Zhang, Q. and Ma, S.*(2020). Structured Gene-Environment Interaction Analysis. Biometrics, 76(1), 23-35. 
  12. Fan, X., Fang, K., Ma, S. and Zhang, Q.*(2020). Integrating Approximate Single Factor Graphical Models. Statistics in Medicine, 39(2), 146-155. 
  13. Zhang, X., Zhang, Q., Wang, X., Ma, S. and Fang, K.*(2020). Structured sparse logistic regression with application to lung cancer prediction using breath volatile biomarkers. Statistics in Medicine, 39(7), 955-967. 
  14. Fan, X., Fang, K., Ma, S., Wang, S. and Zhang, Q.*(2019). Assisted Graphical Model for Gene Expression Data Analysis. Statistics in Medicine, 38, 2364-2380.
  15. Chai, H., Zhang, Q., Huang, J. and Ma, S.*(2019). Inference for Low Dimensional Covariates in a High-Dimensional Accelerated Failure Time Model. Statistica Sinica, 29, 877-894.
  16. Wu, C., Zhang, Q., Jiang, Y. and Ma, S.*(2018). Robust Network-based Analysis of the Associations between (Epi)Genetic Measurements. Journal of Multivariate Analysis, 168, 119-130.
  17. Fang, K., Fan, X., Zhang, Q. and Ma, S.*(2018). Integrative Sparse Principal Component Analysis. Journal of Multivariate Analysis, 166, 1-16.
  18. Bao, F., Deng, Y., Du, M., Ren, Z., Zhang, Q., Zhao, Y., Suo, J., Zhang, Z., Wang, M.* and Dai, Q. (2018) Probabilistic natural mapping of gene-level tests for genome-wide association studies. Briefings in Bioinformatics, 19(4), 545-553.
  19. Huang, Y., Zhang, Q., Zhang, S., Huang, J. and Ma, S.* (2017) Promoting similarity of sparsity structures in integrative analysis with penalization. Journal of the American Statistical Association, 112, 342-350.
  20. Sun, Z., Chen, F., Zhou, X. and Zhang, Q.* (2017). Improved model checking methods for parametric models with responses missing at random. Journal of Multivariate Analysis, 154, 147-161.
  21. Zhang, Q., Duan, X. and Ma, S.* (2017). Focused Information Criterion and Model Average Under Generalized Rank Regression. Statistics & Probability letters, 122, 11-19.
  22. Zang, Y., Zhang, S., Li, Q. and Zhang, Q.* (2016). Jackknife empirical likelihood test for high-dimensional regression coefficients.  Computational Statistics & Data Analysis, 94, 302-316. 
  23. Lai, P., Zhang, Q.*, Lian, H. and Wang, Q. (2016). Efficient estimation for the heteroscedastic single-index varying coefficient models. Statistics & Probability letters, 110, 84-93.
  24. Zhang, Q., Zhang, S., Liu, J., Huang, J. and Ma, S.* (2016). Penalized integrative analysis under the accelerated failure time model.  Statistica Sinica, 26, 493-508.
  25. Zhang, T., Zhang, Q. and Wang, Q.* (2014). Model detection for functional polynomial regression. Computational Statistics & Data Analysis, 70, 183-197.
  26. Zhang, Q., Li, D.* and Wang, H. (2013). A note on tail dependence regression. Journal of Multivariate Analysis, 120, 163-172.
  27. Zhang, Q. and Wang, Q.* (2013). Local least absolute relative error estimating approach for partially linear multiplicative model. Statistica Sinica, 23, 1091-1116.
  28. （* 通讯作者）
  1.  Dimension Reduction and Variable selection based on Quantile Regression for High Dimensional Data " National Science Foundation of China (11401561); Role: PI, 01/2015-12/2017
  2. Sufficient Dimension Reduction through Central Quantile Subspaces" China Postdoctoral Science Foundation Grant (2014M550799); Role: PI, 03/2014-06/2016