Zhang, Sanguo  Professor
Phone: 86-10-88256077
School of Mathematical Sciences, 
University of CAS
Yuquan Road 19A, Beijing 100049, China

Research Interests

  • High Dimensional Data Analysis
  • Generalized Linear Models
  • Non(or Semi-)parametric Statistics
  • Measurement Errors Models
  • Change Point Analysis
  • Emprical Likelihood
  • Mixed Distributions
  • Machine Learning
  • Applied Statistics


  • Ph. D in Statistics, Department of Mathematics, University of Science and Technology of China (USTC) 2002
  • B.S. in Mathematics, Department of Mathematics, University of Science and Technology of China (USTC) 1998

Working Experience

  • Lecturer, University of CAS, 2002-2003
  • Post-doc, Department of Statistics, Chinese University of Hongkong, 2003-2004
  • Associate Professor, University of CAS, 2005-2007
  • Post-doc, Department of Biostatistics, Vanderbilt University, 2007-2008
  • Associate Professor, University of CAS, 2008-2010 
  • Professor, University of CAS, 2010-present


Selected Papers:

1) Zhang, S. & Chen, X. Consistency of modified MLE in EV model with replicated observations. Science in China (Series A), 304-310,2001.

2) Zhang, S. & Chen, X. Estimation in the polynomial errors-in-variables model. Science in China (Series A), 1-8, 2002.

3) Zhang, S. & Chen, X. Asymptotic normality of parameters estimation in EV model with replicated observations. Acta Mathematica Scientia (Series B), 107-114, 2002.

4) Zhang, S. & Chen, X. On asymptotic normality of parameters in linear EV model. Chinese Annals of Mathematics (Series B), 495-506, 2002.

5) Liu, J. Zhang, S. & Chen, X. Linear EV model with replicable observed independent variables, Science in China Series A: Mathematics, 752-769, 2006.

6) Zhang, S. & Liao, Y. On some problems of weak consistency of quasi-maximum likelihood estimates in generalized linear models, Science in China Series A: Mathematics, 1287-1296, 2008.

7) Jia, Y., Sun, J., Fan, L., Song, D., Tian, S., Yang, Y., Jia, M., Lu, L., Sun, X. Zhang, S., Kulczycki, A. & Vermund, H. S. Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture,Yunnan Province, International Journal of Epidemiology, 1287-1296, 2008.

8) Yu, C., Zhang, S., Zhou, C. & Sile, S. A likelihood test of population Hardy Weinberg Equilibrium for case-control studies. Genetic Epidemiology, 275-280, 2009.

9) Ning, W., Zhang, S. & Yu, C. A Moment-based Test for the Homogeneity in Natural Exponential Family with Quadratic Variance Functions, Statistics and Probability Letters, 828-834, 2009.

10) Ning, W., Gupta, A., K., Yu, C. & Zhang, S., A moment-based test for homogeneity in finite mixture models, Communications in Statistics - Theory and Methods, 1371-1382, 2009. 

11) Zhang, B., Halder, K. S., Zhang, S. & Datta, K. P. Targeting transforming growth factor-beta signaling in liver metastasis of colon cancer. Cancer letters, 114-120, 2009.
12) Wang, G., Zhang, S., Joggerst, S. J., McPherson, J. & Zhao, X. D. Effects of the number and interval of balloon inflations during primary PCI on the extent of myocardial injury in patients with STEMI: Does postconditioning exist in real-world practice?  Journal of Invasive Cardiology, 451-455, 2009.

13) Huang, F., Jiang, Z., Zhang, S. & Gao, S. Reliability evaluation of wireless sensor networks using logistic regression, International Conference on Communications and Mobile Computing, IEEE Computer Society, 334-338, 2010.

14) Wang, S., Zhang, S. & Xue, H. Sieve least squares estimator for partial linear models with current status data, Journal of Systems Science and Complexity, 335-346, 2011.

15) Jiang, J., Zhang, S., Guo, T. Russo’s formula, uniqueness of the infinite cluster, and continuous differentiability of free energy for continuum percolation, Journal of  Applied Probability,  597-610, 2011. 

16) Zhang, S., Liao, Y. & Ning, W. Asymptotic properties of quasi-Maximum likelihood estimates in generalized linear models, Communications in Statistics - Theory and Methods, 4417-4430, 2011.

17) Shi, Y. Li, T. Wang, Y. Gao, Q. Zhang, S. & Li, H. Optical image encryption via ptychography, Optics Letters, 1425-1427, 2013.

18) Liu,J. Chang,N. Zhang,S. & Lei,Z. Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis,International Journal of Communication Systems,28:1884–1897, 2015.

19) Wu,X. Zhang,Q. & Zhang, S. Detecting difference between coeficients in linear model using jackknife empirical likelihood,Journal of Systems Science and Complexity,29:542-556, 2016.

20) Zhang, Q., Zhang, S. Liu, J. Huang, J. & Ma, S. Panelized integrative analysis under the accelerated failure time model, Statistica Sinica, 26:493-508, 2016.

21) Wu,X. Zhang,S. Zhang, Q. & Ma,S. Detecting change point in linear regression using jackknife empirical likelihood,Statistics and its interface,9: 113–122, 2016.

22)Zang, Y. Zhang, S.  Li, Q. Zhang, Q. Jackknife empirical likelihood test for high-dimensional regression coefficients, Computational Statistics & Data Analysis, 94:302–316, 2016.

23) Hu, X., Zhang W, Zhang S, Ma S, & Li. Q. Group-combined p-values with applications to genetic association studies. Bioinformatics, 32, 2737–2743, 2016.

24) Zang, Y., Zhao, Y., Zhang, Q., Cai, H., Zhang, S. & Ma, S. Identifying Gene-Environment Interactions with a Least Relative Error Approach, Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics: Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins[M]. Springer, 305-321, 2016.

25) Zang, Y. Zhang, Q., Zhang, S.  Li, Q. & Ma, S. Empirical likelihood test for high dimensional generalized linear models. Invited book chapter. Big and Complex Data Analysis: Statistical Methodologies and Applications, Springer, 29-50, 2017. 

26) Wang, G., Zhang, Q., Zang, Y., Zhang, S. & Ma, S. Identifying gene-environment interactions associated with prognosis using penalized robust regression. Invited book chapter. Big and Complex Data Analysis: Statistical Methodologies and Applications, Springer. 347-367, 2017. 

27) Hu, X., Duan, X., Pan, D., Zhang, S., & Li, Q. A Model-embedded Trend Test with Incorporating Hardy-Weinberg Equilibrium Information. Journal of Systems Science and Complexity, 101-110, 2017.

28) Huang, Y., Zhang, Q., Zhang, S., Huang, J. & Ma, S. Promoting similarity of sparsity structures in intergrative analysis with penalization. Journal of American Statistical Association,  342-350, 2017.

29) Wu,X. Zhang,S. & Zhang,Q. A note on the two sample mean problem based on jackknife empirical likelihood,Communications in Statistics - Theory and Methods,7827-7836, 2017. 

30) Wang, G., Zhang,S., & Dai, P. A Robust image denoising algorithm based on Exponential squared loss and SELO penalty,Acta Mathematicae Applicatae Sinica, English Series,753-770, 2017. 

31) Zang, Y., Zhao, Q., Zhang, Q., Li, Y., Zhang,S. & Ma, S. Inferring gene regulatory relations using high-dimensional robust estimation. Genetic Epidemiology, 437-454, 2017. 

32) Wu, M.,Zang, Y., Zhang,S., Huang, J. & Ma, S. Accommodating missingness in environmental measurements in gene-environment interaction analysis. Genetic Epidemiology, 523-554, 2017. 

33) Fu, S., Zhang, S. & Liu, Y. Adaptively weighted large-margin angle-based classifiers,  Journal of multivariate analysis, 282-299, 2018.

34) Li, J., Zhang, W., Zhang, S. & Li, Q. A theoretic study of a distance-based regression model, Science China Mathematics, 979-998, 2019.

35) Fu, S., He, Q., Zhang, S. & Liu, Y. Robust outcome weighted learning for optimal individualized treatment rules,  Journal of biopharmaceutical statistics, 606-624, 2019.

36) Xue, Y., Wang, J., Ding, J., Zhang, S. & Li, Q. A powerful test for ordinal trait genetic association analysis,  Statistical Applications in Genetics and Molecular Biology, vol. 18, issue 2, 2019.

37) Xue, Y., Ding, J., Wang, J.,Zhang, S. & Pan, D. Two-phase SSU and SKAT in genetic association studies. Journal of Genetics, 99:9, 2020.

38) Zhang, S., Xue, Y., Zhang, Q., Ma, C., Wu, M. & Ma, S. Identification of gene–environment interactions with marginal penalization. Genetic Epidemiology, 44:159–196, 2020.

39) Bu, D., Yang, Q., Meng, Z., Zhang, S. & Li, Q. Truncated tests for combining evidence of summary statistics. Genetic Epidemiology. 44:687–701, 2020.

40) Liu, Y., Zhang, S., Ma, S. & Zhang, Q. Tests for regression coefficients in high dimensional partially linear models. Statistics and Probability Letters, 163: 108772-108777, 2020.

41) Zhang, S., Fan, Y., Zhong, T. & Ma, S. Histopathological imaging features‑ versus molecular measurements‑based cancer prognosis modeling. Scientific Reports, 10:15030-15038, 2020.

42) Sun, X., Zhang, S., Ma, R., Tao, Y., Zhu, Y., Yang, D. & Shi, Y. Natural speckle-based watermarking with random-like illuminated decoding.  Optics Express,  31832-31843, 2020.