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）