Zhu Zhongyi
Professor
Statistics and Data Science
Add: Guoshun Road Siyuan Building Room 738, Siyuan Building
Tel: 25011215(TEL)
E-mail: zhuzy@fudan.edu.cn
Research Field: Nonlinear Statistical Models, Regression Diagnostics, Differential Geometric Method in Statistical Inference, Repeated Measured Data Analysis, Longitudinal Data Analysis, Nonparametric and Semiparamet
Teacher information
Achievements in scientific research
Academic activities and community service
Educational Background
Doctor Degree,Statistics,Southeast University
Bachelor Degree,Mathematics,Southeast University
Academic Background
2010.01——2010.02,Visiting Scholar,North Carolina State University, USA
2008.07——2008.08,Visiting Scholar,North Carolina State University, USA
2007.01——2007.03,Visiting Scholar,University of Illinois at Urbana Champaign, USA
2002.07——2002.12,Visiting Scholar,The University of Hong Kong, HK
1999.10——2000.04,Visiting Scholar,The University of Hong Kong, HK
1993.09——1994.09,Visiting Scholar,Southeast University
Awards on Research
2015.02,Natural Science Award,Second Prize,Ministry of Education of the People's Repulic of China
Awards on Teaching
Journal Papers
| 1. | Yanlin Tang, Jinglong Wang, Menghan Yi, and Zhongyi Zhu. 2025. Goodness of fit for the Waring distribution. Statistical Theory and Related Fields 9(1) 1-11.  |
| 2. | Yang Lv, Guoyou Qin, and Zhongyi Zhu. 2024. Population-level information for improving quantile regression efficiency. Statistics and Probability Letters 215(2024) 1-11. |
| 3. | Wenqi Lu, Zhongyi Zhu , Rui Li, and Heng Lian. 2024. Sparse multiple kernel learning: Minimax rates with random projection. Journal of Statistical Planning and Inference 231 1-13. |
| 4. | Wenqi Lu , Zhongyi Zhu, Rui Li and Heng Lian. 2024. Statistical performance of quantile tensor regression with convex regularization. Journal of Multivariate Analysis 200 1-12. |
| 5. | Wu Wang and Zhongyi Zhu. 2024. Homogeneity and sparsity analysis for high-dimensional panel data models. Journal of Business and Economic Statistics 42(1) 26-35. |
| 6. | Changxin Yang and Zhongyi Zhu. 2024. A review of nonparametric regression methods for longitudinal data. Statistics and Its Interface 17(1) 127-142. |
| 7. | Kecheng Wei, Guoyou Qin, and Zhongyi Zhu. 2023. Subgroup analysis for longitudinal data based on a partial linear varying coefficient model with a change plane. Statistics in Medicine 42(20) 3716-3731. |
| 8. | Yanlin Tang, Jinglong Wang, and Zhongyi Zhu. 2023. On the MLE of the waring distribution. Statistical Theory and Related Fields 7(2) 144-158. |
| 9. | Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2023. Sparse and low-rank matrix quantile estimation with application to quadratic regression. Statistica Sinica 33(2) 945-959. |
| 10. | Yuexia Zhang, Peibei Shi, Zhongyi Zhu, Linbo Wang, and Annie Qu. 2023. Weak signal identification and inference in penalized likelihood models for categorical responses. Statistica Sinica 33(2) 759-786. |
| 11. | Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Jiajia Zhang. 2022. Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study. Computational Statistics & Data Analysis 175 1-21. |
| 12. | Fangzheng Lin, Yanlin Tang, Huichen Zhu, and Zhongyi Zhu. 2022. Spatially clustered varying coefficient model. Journal of Multivariate Analysis 192 1-22. |
| 13. | Xiaohui Liu, Wenqi Lu, Heng Lian, Yuzi Liu, and Zhongyi Zhu. 2022. Partially linear additive functional regression. Statistica Sinica 32(4) 2199-2216. |
| 14. | Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2022. Single-index thresholding in quantile regression. Journal of the American Statistical Association 117(540) 2222–2237. |
| 15. | Ting Li, Tengfei Li, Zhongyi Zhu, and Hongtu Zhu. 2022. Regression analysis of asynchronous longitudinal functional and scalar data. Journal of the American Statistical Association 117(539) 1228-1242. |
| 16. | Wu Wang and Zhongyi Zhu. 2022. Group structure detection for a high-dimensional panel data model. The Canadian Journal of Statistics 50(3) 852-866. |
| 17. | Kecheng Wei, Huichen Zhu, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2022. Multiply robust subgroup analysis based on a single-index threshold linear marginal model for longitudinal data with dropouts. Statistics in Medicine 41(15) 2822-2839. |
| 18. | Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Bo Fu. 2022. Robust estimation of models for longitudinal data with dropouts and outliers. Journal of Applied Statistics 49(4) 902–925. |
| 19. | Ping Yu, Ting Li, Zhongyi Zhu, and Jianhong Shi. 2021. Composite quantile estimation in partial functional linear regression model based on polynomial spline. Acta Mathematica Sinica, English Series 37(10) 1627-1644. |
| 20. | Jianwei Shi, Guoyou Qin, Huichen Zhu, and Zhongyi Zhu. 2021. Communication-efficient distributed M-estimation with missing data. Computational Statistics & Data Analysis 161 1-21. |
| 21. | Yingying Zhang, Heng Lian, Guodong Li, and Zhongyi Zhu. 2021. Functional additive quantile regression. Statistica Sinica 31(3) 1331-1351. |
| 22. | Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, and Zhongyi Zhu. 2021. Clusterwise functional linear regression models. Computational Statistics & Data Analysis 158 1-15. |
| 23. | Rui Li, Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2021. Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces. Journal of Statistical Planning and Inference 211 162-170. |
| 24. | Wenqi Lu, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2021. Multiply robust subgroup identification for longitudinal data with dropouts via median regression. Journal of Multivariate Analysis 181 1-15. |
| 25. | Wu Wang, Xuming He, and Zhongyi Zhu. 2020. Statistical inference for multiple change-point models. Scandinavian Journal of Statistics 47(4) 1149-1170. |
| 26. | Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2020. High-dimensional quantile tensor regression. Journal of Machine Learning Research 21 1-31. |
| 27. | Yang Lv, Xiaolu Zhu, Zhongyi Zhu, and Annie Qu. 2020. Nonparametric cluster analysis on multiple outcomes of longitudinal data. Statistica Sinica 30(4) 1829-1856. |
| 28. | Ting Li and Zhongyi Zhu. 2020. Inference for generalized partial functional linear regression. Statistica Sinica 30(3) 1379-1397. |
| 29. | Fangzheng Lin, Yanlin Tang, and Zhongyi Zhu. 2020. Weighted quantile regression in varying-coefficient model with longitudinal data. Computational Statistics & Data Analysis 145 1-21. |
| 30. | Ping Yu, Zhongyi Zhu, Jianhong Shi, and Xikai Ai. 2020. Robust estimation for partial functional linear regression model based on modal regression. Journal of Systems Science & Complexity 33(2) 527-544. |
| 31. | Li-wen Zhang and Zhong-yi Zhu. 2019. Estimating restricted common structural changes for panel data. Acta Mathematicae Applicatae Sinica-English Series 35(4) 893-908. |
| 32. | Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2019. Quantile-regression-based clustering for panel data. Journal of Econometrics 213(1) 54-67. |
| 33. | Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2019. Robust subgroup identification. Statistica Sinica 29(4) 1873-1889. |
| 34. | Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Wanghong Xu. 2019. A novel robust approach for analysis of longitudinal data. Computational Statistics & Data Analysis 138 83-95. |
| 35. | Ping Yu, Ting Li, Zhongyi Zhu, and Zhongzhan Zhang. 2019. Composite quantile estimation in partial functional linear regression model with dependent errors. Metrika 82(6) 633-656. |
| 36. | Yang Lv, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2019. Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout, with applications to quality of life measurements from clinical trials. Statistics in Medicine 38(16) 2972-2991. |
| 37. | Ping Yu, Zhongyi Zhu, and Zhongzhan Zhang. 2019. Robust exponential squared loss-based estimation in semi-functional linear regression models. Computational Statistics 34(2) 503-525. |
| 38. | Haiqiang Ma, Ting Li, Hongtu Zhu, and Zhongyi Zhu. 2019. Quantile regression for functional partially linear model in ultra-high dimensions. Computational Statistics & Data Analysis 129 135-147. |
| 39. | Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Jiajia Zhang. 2018. Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers. Journal of Multivariate Analysis 168 261-275. |
| 40. | Huiming Lin, Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2018. Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation. Computational Statistics & Data Analysis 121 104-112. |
| 41. | Yali Fan, Yanlin Tang, and Zhongyi Zhu. 2018. Variable selection in censored quantile regression with high dimensional data. Science China Mathematics 61(4) 641-658. |
| 42. | Huiming Lin, Bo Fu, Guoyou Qin, and Zhongyi Zhu. 2017. Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts. Biometrics 73(4) 1132-1139. |
| 43. | Wu Wang and Zhongyi Zhu. 2017. Variable selection for the partial linear single-index model. Acta Mathematicae Applicatae Sinica (English Series) 33(2) 373-388. |
| 44. | Liwen Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2017. Composite change point estimation for bent line quantile regression. Annals of the Institute of Statistical Mathematics 69(1) 145-168. |
| 45. | Wu Wang and Zhongyi Zhu. 2017. Conditional empirical likelihood for quantile regression models. Metrika 80(1) 1-16. |
| 46. | Guoyou Qin, Jiajia Zhang, Zhongyi Zhu, and Wing Fung. 2016. Roubust estimation of partially linear moderls for longitudinal data with dropouts and measurement error. Statistics in Medicine 35(29) 5401-5416. |
| 47. | Haiqiang Ma, Yang Bai, and Zhongyi Zhu. 2016. Dynamic single-index model for functional data. Science China Mathematics 59(12) 2561-2584. |
| 48. | Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2016. Quantile regression in longitudinal studies with dropouts and measurement errors. Journal of Statistical Computation and Simulation 86(17) 3527-3542. |
| 49. | Qin Guoyou, Zhongyi Zhu, and Wing K. Fung. 2016. Robust estimation of generalized partially linear model for longitudinal data with dropouts. Annals of The Institute of Statistical Mathematics 68(5) 977-1000. |
| 50. | Haiqiang Ma and Zhongyi Zhu. 2016. Continuously dynamic additive models for functional data. Journal of Multivariate Analysis 150 1–13. |
| 51. | Guoyou Qin, Jie Mao, and Zhongyi Zhu. 2016. Joint mean–covariance model in generalized partially linear varying coefficient models for longitudinal data. Journal of Statistical Computation and Simulation 86(6) 1166-1182. |
| 52. | Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2016. Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error. Computational Statistics & Data Analysis 96 24-39. |
| 53. | Yanlin Tang, Xinyuan Song, and Zhongyi Zhu. 2015. Threshold effect test in censored quantile regression. Statistics & Probability Letters 105 149-156. |
| 54. | Liwen Zhang and Zhongyi Zhu. 2015. Testing for change points in partially linear models. Acta Mathematicae Applicatae Sinica 31(4) 879-892. |
| 55. | Guoyou Qin and Zhongyi Zhu. 2015. Robust estimation of mean and covariance for longitudinal data with dropouts. Journal of Applied Statistics 42(6) 1240-1254. |
| 56. | Yanlin Tang, Xinyuan Song, and Zhongyi Zhu. 2015. Variable selection via composite quantile regression with dependent errors. Statistica Neerlandica 69(1) 1-20. |
| 57. | Xiaobing Zhao, Jinglong Wang, Zhou Xian, and Zhongyi Zhu. 2015. Recurrent events analysis in the presence of terminal event and zero-recurrence subjects. Communications in Statistics-Theory and Methods 44(4) 710-725. |
| 58. | Yali Fan, Guoyou Qin, and Zhongyi Zhu. 2014. Robust variable selection in linear mixed models. Communications in Statistics-Theory and Methods 43(21) 4566-4581. |
| 59. | Liwen Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2014. Testing for change points due to a covariate threshold in quantile regression. Statistica Sinica 24(4) 1859-1877. |
| 60. | Yanlin Tang, Liya Xiang, and Zhongyi Zhu. 2014. Risk factor selection in rate making: EM adaptive lasso for zero-inflated poisson regression models. Risk Analysis 34(6) 1112-1127. |
| 61. | Xueying Zheng, Wing Kam Fung, and Zhongyi Zhu. 2014. Variable selection in robust joint mean and covariance model for longitudinal data analysis. Statistica Sinica 24(2) 515-531. |
| 62. | Qingming Zou and Zhongyi Zhu. 2014. M-estimators for single-index model using B-spline. Metrika 77(2) 225-246. |
| 63. | Yanlin Tang, Xinyuan Song, Huixia Judy Wang, and Zhongyi Zhu. 2013. Variable selection in high-dimensional quantile varying coefficient models. Journal of Multivariate Analysis 122 115-132. |
| 64. | Xiaolu Zhu and Zhongyi Zhu. 2013. Comparison of criteria to select working correlation matrix in generalized estimating equations. Chinese Journal of Applied Probability and Statistics 29(5) 515-530. |
| 65. | Xueying Zheng, Wing Kam Fung, and Zhongyi Zhu. 2013. Robust estimation in joint mean-covariance regression model for longitudinal data. Annals of the Institute of Statistical Mathematics 65(4) 617-638. |
| 66. | Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu. 2013. Variable selection in quantile varying coefficient models with longitudinal data. Computational Statistics & Data Analysis 57(1) 435-449. |
| 67. | Tang,Y anlin, Huixia Judy Wang, Xuming He, and Zhongyi Zhu. 2012. An informative subset-based estimator for censored quantile regression. Test 21(4) 635-655. |
| 68. | Fan, Yali, Guoyou Qin, and Zhongyi Zhu. 2012. Variable selection in robust regression models for longitudinal data. Journal of Multivariate Analysis 109(1) 156-167. |
| 69. | Qin, Guoyou, Zhongyi Zhu, and Wing K. Fung. 2012. Robust estimation of the generalised partial linear model with missing covariates. Journal of Nonparametric Statistics 24(2) 517-530. |
| 70. | Wang, Huixia Judy, Leonard A. Stefanski, and Zhongyi Zhu. 2012. Corrected-loss estimation for quantile regression with covariate measurement errors. Biometrika 99(2) 405-421. |
| 71. | Tang, Yanlin, Huixia Judy Wang, Zhongyi Zhu, and Xinyuan Song. 2012. A unified variable selection approach for varying coefficient models. Statistica Sinica 22(2) 601-628. |
| 72. | Qin, Guoyou, Yang Bai, and Zhongyi Zhu. 2012. Robust empirical likelihood inference for generalized partial linear models with longitudinal data. Journal of Multivariate Analysis 105(1) 32-44. |
| 73. | Zhang, Tao and Zhongyi Zhu. 2011. Empirical likelihood inference for longitudinal data with missing response variables and error-prone covariates. Communications in Statistics-Theory and Methods 40(18) 3230-3244. |
| 74. | Mao, Jie and Zhongyi Zhu. 2011. Joint mean-covariance models with applications to longitudinal data in partially linear model. Communications in Statistics-Theory and Methods 40(17) 3119-3140. |
| 75. | Mao, Jie, Zhongyi Zhu, and Wing K. Fung. 2011. Joint estimation of mean-covariance model for longitudinal data with basis function approximations. Computational Statistics & Data Analysis 55(2) 983-992. |
| 76. | Jiarui Feng and Zhongyi Zhu. 2011. Semiparametric analysis of longitudinal zero-inflated count data. Journal of Multivariate Analysis 102(1) 61-72. |
| 77. | Mao, Jie and Zhongyi Zhu. 2011. Joint semiparametric mean-covariance model in longitudinal study. Science China-Mathematics 54(1) 145-164. |
| 78. | Yang Bai, Wing Kam Fung, Zhongyi Zhu. 2010. Weighted Empirical Likelihood for Generalized Linear Models with Longitudinal Data. Journal of Statistical Planning and Inference 140(11) 3446-3456. |
| 79. | Huixia Judy Wang, Zhongyi Zhu, Jianhui Zhou. 2009. Quantile Regression in Partially Linear Varying Coefficient Models. The Annals of Statistics 37(6B) 3841-3866. |
| 80. | Qingming Zou,Zhongyi Zhu,Jinglong Wang. 2009. Local Influence Analysis for Penalized Gaussian Likelihood Estimation in Partially Linear Single-index Models. Annals of the Institute of Statistical Mathematics Vol.61(4) 905-918. |
| 81. | Guoyou Qin,Yang Bai,Zhongyi Zhu. 2009. Robust Empirical Likelihood Inference for Longitudinal Data. Statistics & Probability Letters Vol.79(20) 2101-2108. |
| 82. | Guoyou Qin,Zhongyi Zhu. 2009. Local Asymptotic Behavior of Regression Splines for Marginal Semiparametric Models with Longitudinal Data. Science in China Series A: Mathematics Vol.52(9) 1982-1994. |
| 83. | Guoyou Qin,Zhongyi Zhu. 2009. Robustified Maximum Likelihood Estimation in Generalized Partial Linear Mixed Model for Longitudinal Data. Biometrics Vol.65(1) 52-59. |
| 84. | Guoyou Qin,Zhongyi Zhu,Wing K. Fung. 2009. Robust Estimation of Covariance Parameters in Partial Linear Model for Longitudinal Data. Journal of Statistical Planning and Inference Vol.139(2) 558-570. |
| 85. | Yang Bai,Wing K. Fung,Zhongyi Zhu. 2009. Penalized Quadratic Inference Functions for Single-Index Models with Longitudinal Data. Journal of Multivariate Analysis Vol.100(1) 152-161. |
| 86. | ZHONGYI ZHU,WING K.FUNG,XUMING HE. 2008. On the asymptotics of marginal regression splines with longitudinal data. Biometrika vol.95(4) 907-917. |
| 87. | Jianhui Zhou, Zhongyi Zhu, Wing K. Fung. 2008. Robust Testing With Generalized partial linear models for longitudinal data. Journal of Statistical Planning and Inference Vol.138(6) 1871-1883. |
| 88. | YANG BAI, ZHONGYI ZHU, WING K. FUNG. 2008. Partial linear models for longitudinal Data Based on Quadratic Inference function. Scandinavian Journal Vol.35(1) 104-118. |
| 89. | Qin Guoyou, Zhu Zhongyi. 2008. ROBUST ESTIMATION IN PARTIAL LINEAR MIXED MODEL FOR LONGITUDINAL DATA. Acta Mathematica Scientia Vol.28B（2） 333-347. |
| 90. | Guo You Qin, Zhong Yi Zhu, Wing K.Fung. 2008. Robust estimating equations and bias correction of correlation parameters for longitudinal data. Computational Statistics and Data Analysis vol.52(10) 4745-4753. |
| 91. | Chi Ho Zo, Wing Kam Fung, ZhongYi Zhu. 2007. STRUCTURAL PARAMETER ESTIMATION USING GENERALIZED ESTIMATING EQUATIONS FOR REGRESSION CREDIBILITY MODELS. ASTIN Bulletin vol.37(2) 323-343. |
| 92. | Guoyou Qin, Zhongyi Zhu. 2007. Robust estimation in generalized semiparametric mixed models for longitudinal data. Journal of Multivariate Analysis 98(8) 1658-1683. |
| 93. | Lo, C. H. and Fung, W. K, ZHU Zhongyi. 2006. Generalized estimating equations for variance and covariance parameters in regression credibility models. Insurance: Mathematics and Economics 39(1) 99-113. |
| 94. | Xuming He,Wing K.Fung,Zhongyi Zhu. 2005. Robust Estimation in Generalized Partial Linear Models for Clustered Data. Journal of the American Statistical Assoctiation Vol.100(472) 1176-1184. |
| 95. | Zhongyi Zhu, Wing. K. Fung. 2004. Variance component testing in semiparametric mixed models. Journal of Multivariate Analysis vol.91 107-118. |
| 96. | Zhongyi Zhu, Xuming He, Wing-Kam Fung. 2003. Local Influence Analysis for Penalized Gaussian Likelihood Estimators in Partially Linear Models. Scandinavian Journal of Statistics 30(4) 767-780. |
| 97. | Wing-Kam Fung, Zhong-yi Zhu, Bo-cheng Wei, Xuming He. 2002. He Influence diagnostic and outlier tests for semiparametric mixed models. . J. R. Stat. Soc Ser B,. vol.64(3) 565-579. |
| 98. | XUMING HE, ZHONG-YI ZHU, W K Fung. 2002. Estimation in a semiparametric model for longitudinal data with unspecified dependence structure. Biometrika vol.89(3) 567-590. |
| 99. | ZHU Zhongyi, TANG Ninsheng, WEI Bocheng. 2000. ON CONFIDENCE REGIONS IN SEMIPARAMETRIC NONLINEAR REGRESSION(A GEOMETRIC APPROACH). Acta Math.Scientia. vol.20(1) 68-75. |
| 100. | Yang Lyu, Ziyi Zhu, Xingyan Guo, and Zhongyi Zhu. 2023. User ranking model based on answer quality for online Q&A platform: A case study of “Zhihu”. Journal of Applied Statistics and Management 42(5) 761-774. (in Chinese) |
| 101. | Yang Lyu and Zhongyi Zhu. 2018. Regression splines estimation for semiparametric panel data models with fixed effects.. Chinese Journal of Applied probability statistics 34(1) 84-94. (in Chinese) |
| 102. | Qingming Zou and Zhongyi Zhu. 2014. Asymptotic properties of Two-step M-estimators in a partial linear single-index model. Acta Mathematicae Applicatae Sinica 37(2) 218-233. (in Chinese) |
| 103. | Liya Xiang and Zhongyi Zhu. 2013. Comparison of two ZIP models with an application to ratemaking. Journal of Applied Statistics and Management 32(5) 854-862. (in Chinese) |
| 104. | Ni, Yanfeng and Zhongyi Zhu. 2012. Partial linear models for longitudinal data based on penalized general method of moments. Chinese Journal of Applied Probability and Statistics 28(3) 285-300. (in Chinese) |
| 105. | Chen, Congjie, and Zhongyi Zhu. 2011. The testing of random effect in mixed generalized single index models. Chinese Journal of Applied Probability and Statistics 27(1) 29-38. (in Chinese) |
| 106. | Qinming Zou,Jinglong Wang,Zhongyi Zhu. 2009. Maximum Likelihood Estimation of Multivariate t-Model with Rao's Simple Structure and Its Exact Distribution. Chinese Journal of Applied Probability and Statistics Vol.25(4) 398-408. (in Chinese) |
| 107. | Hao Zhang,Zhongyi Zhu. 2009. Asymptotic Properties of Estimation in Generalized Partial Linear Mixed Models. Chinese Journal of Applied Probability and Statistics Vol.25(2) 171-184. (in Chinese) |
| 108. | Congjie Chen, Zhongyi Zhu. 2009. Statistical Analysis on RMB Equilibrium Exchange Rate. Application of Statistics and Management Vol.28(1) 103-110. (in Chinese) |
| 109. | JI Yunqi, ZHU Zhongyi. 2008. The Testing In GEE Method Without PA Condition. Chinese Journal of Applied Probability and Statistics 24(5) 541-553. (in Chinese) |
| 110. | ZENG Linrui, ZHU Zhongyi. 2008. Variance Component Testing in Semiparametric generalized Linear Models for Longitudinal Data. Acta Math.Scientia. vol.28A(4) 585-594. (in Chinese) |
| 111. | ZHANG Xiafeng，ZHU Zhongyi. 2007. Some Problems of Testing in Single Index Models.. Appl. Math. J. Chinese Univ. Ser. A. vol.22(4) 416-426. (in Chinese) |
| 112. | ZENG Linrui, ZHU Zhongyi, Lu Yiqiang. 2007. Variance components testing in semiparimetric generalized linear mixed models for longitudinal data.. Chinese Journal of Applied Probability and Statistics vol.23(3) 329-336. (in Chinese) |
| 113. | ZHANG Xiafeng，ZHU Zhongyi. 2007. Asymptotic Property of testing for Heteroscedasticity in single index model.. Chinese Journal of Engineering Mathematics, vol.24(2) 292-302. (in Chinese) |
| 114. | ZENG Linrui, ZHU Zhongyi. 2007. Influence analysis on semiparametric generalized linear mixed models.. Acta. Mathematica Scientia vol.27A(4) 584-593. (in Chinese) |
| 115. | ZOU Qiming, ZHU Zhongyi. 2007. Numerical character of maximum likelihood estimation of Multivariate t2model with Raos Simple Structure.. MATHEMATICA APPLICATA vol.20(3) 574-580. (in Chinese) |
| 116. | ZHANG Hao, ZHU Zhongyi. 2007. Influence Analysis of Generalized Partially Linear Mixed Models. Acta. Math. Appl. Sinica. vol.30（4） 743-756. (in Chinese) |
| 117. | QIN Guoyou, ZHU Zhongyi. 2007. Robust estimation of variance components in semiparametric linear mixed Models. Chinese Journal of Applied Probability and Statistics vol.23(2) 207-214. (in Chinese) |
| 118. | LI Mengjun, ZHU Zhongyi. 2006. The Estimation of Index for the surveying of the life Situation of the Citizens in Shanghai. Statistical Education vol.78(3) 18-20. (in Chinese) |
| 119. | ZHU Zhongyi, RAN Hao. 2006. Testing for Heteroscedasticity in Semiparametric Random Effect Model. Acta Math.Scientia. vol.26(A) 343-352. (in Chinese) |
| 120. | YU Huojun, ZHU Zhongyi. 2005. Influence Analysis for Mean and Covariance Parameters in Longitudinal Data Models. Chinese Journal of Applied Probability and Statistics vol.21(1) 40-52. (in Chinese) |
| 121. | ZENG Linrui, ZHU Zhongyi and MAO Shisong. 2004. Influence analysis and outlier tests for semiparametric generalized linear Model. Appl. Math. J. Chinese Univ. Ser. A. vol.19(3) 323-332. (in Chinese) |
| 122. | RAN Hao, ZHU Zhongyi. 2004. Statistical analysis of heteroscedasticity in semiparametric models. Chinese Journal of Applied Probability and Statistics vol.20(1) 83-90. (in Chinese) |
| 123. | ZHU Zhongyi, WEI Baocheng. 2001. Influence analysis in semiparametric nonlinear regression models. Acta. Math. Appl. Sinica vol.24(4) 568-581. (in Chinese) |
| 124. | ZHU Zhongyi, WEI Baocheng. 2001. Geometry of asymptotic inference in semiparametric nonlinear regression models. Acta. Math. Appl. Sinica vol.24(1) 87-99. (in Chinese) |
| 125. | Tan N.S，ZHU Zhongyi and Wei B.C. 2000. Asymptotic properties in nonlinear reproductive dispersion models.. Acta Math.Scientia. vol.20(3) 321-328. (in Chinese) |
| 126. | Tan N.S，ZHU Zhongyi and Wei B.C. 2000. Geometry of asymptotic inference in Reproductive Dispersion nonlinear Models. Chin. Ann. Math. vol.21A(3) 261-270. (in Chinese) |
Chapters in Books
Zhongyi Zhu, 2010. Robust Inference for Longitudinal Data Models. In: Qihua Wang, Ningzhong Shi, Zhi Geng (Eds.), Research Basic in Modern Statistics. Science Press, China, pp. 88-127
Translated Works
Zhiguo Xiao, Deyuan Li, Guoyou Qin, and Zhongyi Zhu, Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction,Shanghai,Gezhi Publishing House, Shanghai Sanlian Bookstore, Shanghai People's Publishing House,2025.07 (in Chinese)
Teaching Materials, etc.
Niansheng Tang, Hengjian Cui, Zhongyi Zhu, Ming Chen, and Zhi Geng. 2024. Statistical Method for Data Science. Higher Education Press, Beijing. (in Chinese)
Research Projects
2024.01—2028.12, Principal Investigator, Statistical Inference of Multi-source Heterogeneous Data based on Information Fusion and Migration, National Natural Science Foundation of China
2023.01—2023.12, Principal Investigator, High-dimensional Ivon-sparse Bayesian Estimation and Its Application, National Natural Science Foundation of China
2021.01—2024.12, Principal Investigator, The Study of Distributed Quantile Regression Random Forests, National Natural Science Foundation of China
2020.01—2020.12, Principal Investigator, Study of Statistical Modeling and Outlier Detection for Large Scale Data and Its Application, National Natural Science Foundation of China
2018.01—2022.12, Member, Statistical Inference of Ultra-High Dimensional Data, National Natural Science Foundation of China
2017.01—2020.12, Principal Investigator, The Statistical Analysis of Functional Data Based on Quantile Regression, National Natural Science Foundation of China
2017.01—2021.12, Member, Optimal Statistical Inference for non-IID Data, National Natural Science Foundation of China
2013.01—2016.12, Principal Investigator, The Study of Change Point for Quantile Regression Model in Longitudinal Data, National Natural Science Foundation of China
2012.03—2012.07, Principal Investigator, A Study of All Property Insurance Pricing Model, China Pacific Insurance (Group) Co., Ltd.
2010.01—2013.12, Member, The Study of Applied Statistical Method, National Natural Science Foundation of China
2010.01—2011.12, Principal Investigator, Semiparametric Quantile Regression for Longitudinal Data, National Natural Science Foundation of China
2008.06—2010.04, Principal Investigator, The Statistical Analysis of non-life Actuarial Data Basing on GEE, General Project Supported by National Social Science Foundation of China
2007.01—2008.12, Member, Generalized Estimating Equations for Structural Parameters in Regression Credibility Models of Actuarial Science, RGC Competitive Earmarked Research Grant 2006~2007
2007.01—2009.12, Principal Investigator, The Study of Joint Semiparametric Regression Modeling of Mean and Covariance Function, NSFC
2004.01—2006.12, Principal Investigator, Robust Statistical Inference of Longitudinal Data Basing on Semiparametric Models, NSFC
Academic Posts
2023.01—,Associate Editor,Journal of the American Statistical Association
2018.01—,Member of Editorial Committee,Science China Mathematics
2012.01—,Associate Editor,Statistica Sinica
2009.07—,Member of Editorial Board,Mathematical Statistics and Management
2009.07—,Standing Member of the Council,Chinese Association for Applied Statistics
2006.10—,Vice Chairperson of the Council,Chinese Society of Probability and Statistics
2006.10—,Member of Editorial Board,Applied Probability and Statistics
2006.06—,Standing Member of the Council,Branch of International Standards and Technical Regulations, Chinese Association for Applied Statistics
2005.07—,Standing Member of the Council,Chinese Association for Applied Statistics
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