张日权 经济与管理学部









导航
个人资料
个人概况
研究方向
开授课程
科研项目
学术成果
荣誉及奖励





10 访问







个人资料
部门： 经济与管理学部
性别： 男
专业技术职务： 统计学院 院长
研究标签：
毕业院校： 华东师范大学
学位： 博士
学历： 博士
联系电话： 021-6223 3223
电子邮箱： rqzhang@stat.ecnu.edu.cn
办公地址： 理科大楼A1703室
通讯地址： 上海市普陀区中山北路3663号理科大楼A1702室
邮编： 200062
传真： 021-6223 3223

教育经历
1988年于四川大学数学系获理学学士学位
1998年于华东师范大学统计系获理学硕士学位
2003年于华东师范大学统计系获理学博士学位


工作经历
1988年7月-2000年8月 山西大同大学 教师
2003年7月-2005年8月 中国科学院数学与系统科学研究院 博士后
2005年9月-2006年6月 香港理工大学 研究员
2006年7月至今 华东师范大学 教授、博士生导师



个人简介
张日权，华东师范大学统计学院院长、教育部统计与数据科学前沿理论及应用重点实验室主任。主持多项国家自然科学基金、教育部博士点基金、国家统计局重点项目等研究项目20多项；发表论文170余篇，SCI收录论文130余篇，出版专著2部，教材2部。先后获得上海市育才奖，上海市自然科学奖三等奖，上海市教学成果一等奖。主要研究方向：大数据统计，金融统计，非/半参数统计，超/高维数据分析，函数型数据分析、统计机器学习。

社会兼职
《应用概率统计》期刊常务副主编
中国现场统计研究会 大数据统计分会理事长
中国现场统计研究会 高维数据统计分会副理事长
中国现场统计研究会 经济与金融统计分会副理事长
中国商业统计学会 数据科学与商业智能分会 副理事长
上海市统计学会副会长



研究方向
大数据统计，金融统计，非/半参数统计，超/高维数据分析，函数型数据分析、统计机器学习


开授课程
数学分析、高等代数、高等数学、概率论与数理统计、回归分析、时间序列、多元统计分析、高等数理统计（研究生的）、线性模型（研究生的）、线性代数等



科研项目

1.中国民航科学技术研究院，典型安全事件风险量化分析模型开发，2020/07-2021/12，主持
2. 国家自然科学基金面上项目，**，分布式统计计算方法和理论若干研究，2020/01-2023/12，主持
3. 军事科学院项目，数据统计分析培训项目，2019/03-2019/05，主持
4. 中国民航科学技术研究院项目，飞行品质监控事件与风险量化分析模型及平台开发，2018/12-2019/11，主持
5. 中国民航科学技术研究院项目，开发基于R语言的WQAR数据分析与应用，2018/04—2018/12，主持
6. 中国民航科学技术研究院项目，WQAR数据分析相关统计理论模型构建与优化，2017/10-2018/05，主持
7. 环境保护部，生物多样性保护专项-子项，广布种分布和区域生物多样性指数的建模研究，2017/11-2018/07，主持
8. 中国民航科学技术研究院项目，大数据统计分析数据预处理，2016/11-2017/10，主持
9. 环境保护部，生物多样性保护专项-子项，鸟类和两栖动物观测数据动态变化分析方法研究，2016/09-2017/06，主持
10. 国家自然科学基金面上项目，**，函数型含指标项半参数回归模型的统计分析，2016/01-2019/12，主持
11. 教育部博士点基金(博导类)，20**4，含指标项半参数分位数和复合分位数回归模型的变量选择，2014/01-2016/12，主持
12. 国家自然科学基金面上项目，**，含指标项半参数分位数回归模型的统计分析，2012/01-2015/12，主持
13. 国家统计局重点科研项目，2011LZ051，含指标项半参数分位数模型的统计分析，2012/01-2013/12，主持
14. 上海市旅游局项目，**，上海市国内旅游调查方案论证与研究，2011/11-2012/03，主持
15. 教育部博士点基金(博导类)，001，含指标项半参数回归模型的变量选择及稳健估计，2010/01-2012/12，主持
16. 国家自然科学基金面上项目，**，含指标项的半参数模型的估计和检验，2009/01-2011/12，主持



学术成果
到目前为止：发表论文170余篇，其中SCI收录论文130余篇，出版专著2部；出版教材2本；主持和参与各类项目30余项，其中主持国家自然基金面上项目4项，国家自然基金重点项目子项目1项，教育部博士点基金2项，国家统计局重点项目1项。

专著教材：
1. 张日权，卢一强， 《变系数模型》 科学出版社，2004，北京
2. 王黎明，张日权，景英川， 《应用回归分析》中国海洋大学出版社，2005，青岛
3. 张俊英，张日权，《超高维数据统计模型变量筛选方法》，重庆大学出版社，2019，重庆；
4. 茆诗松，周纪芗，张日权，《概率论与数理统计》（第四版），统计出版社，2020，北京
5. 茆诗松，周纪芗，张日权，《概率论与数理统计--习题与解答》（第四版），统计出版社，2020，北京


部分论文：

1. Yanghui Liu, Riquan Zhang, Shujie Ma, Xiuzhen Zhang. Personalized treatment selection via the covariatespecific treatment effect curve for longitudinal data.Statistical Theory and Related Fields, 2020, 4(2):1-16.DOI: 10.1080/**.2020.**
2. Xiuzhen Zhang，Zhiping Lu，Yangye Wang，RiquanZhang. Adjusted jackknife empirical likelihood for stationary ARMA and ARFIMA models. Statistics and Probability Letters, 2020, 165: 1–18, (SCI),https://doi.org/10.1016/j.spl.2020.108830
3. Li Zhang, Xin Shi, Chang Gu, Bo Chen, Ming Wang, Yu Yu, Kun Sun, Riquan Zhang. Identification of cell-to-cell interactions by ligand-receptor pairs in human fetal heart. BBA - Molecular Basis of Disease, 2020, 1866（12）: 1-9, 165917, https://doi.org/10.1016/j.bbadis.2020.165917
4. Niu, Y., Zhang, R., Liu, J., & Li, H. Group screening for ultra-high-dimensional feature under linear model.Statistical Theory and Related Fields, 2020，4(1):43-54. doi.org/10.1080/**.2019.**
5. Zhu Hanbing, Zhang Riquan, Zhu Gen. Estimation and Inference in Semi-Functional Partially Linear Measurement Error Models. Journal of Systems Science and Complexity, 2020, 33:1179-1199 (SCI), DOI: 10.1007/s11424-019-8045-z
6. Yuye Zou, Guoliang Fan,Riquan Zhang.Quantile regression and variable selection for partially linear single-index models with missing censoring indicators.Journal of Statistical Planning and Inference, 2020, 204:80-95 （SCI）doi.org/10.1016/j.jspi.2019.04.008
7. Wenchao Xu，Hui Ding，RiquanZhang，Hua Liang. Estimation and inference in partially functional linear regression with multiple functional covariates.Journal of Statistical Planning and Inference,2020, 209:44-61 （SCI）https://doi.org/10.1016/j.jspi.2020.02.007
8. Yuye Zou, Guoliang Fan, Riquan Zhang. The abstract of doctoral dissertation “nonlinear wavelet density estimation and hazard rate estimation with data missing at random”. Statistical Theory and Related Fields, 2020, 4(1):117-119. https://doi.org/10.1080/**.2019.**
9. Zhang Junying, Wang Hang, Zhang Riquan, Zhang Jiajia. Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data. Journal of Systems Science and Complexity, 2020, 33:510-526, (SCI), DOI: 10.1007/s11424-020-8273-2
10. 赵为华, 王玲, 张日权. 多元比例响应数据的贝叶斯推断及其应用.数理统计与管理,2019, 38(6): 1129-1140.
11. Hanbing Zhu, Riquan Zhang and Huiying Li. Estimation on semi-functional linear errors-in-variables models. Communications in Statistics-Theory and Methods, 2019, 48: 4380-4393 （SCI）DOI: 10.1080/**.2018.**
12. Yanghui Liu, Duck-chul Lee, Yehua Li, Weicheng Zhu, Riquan Zhang, XuemeiSui, Carl J. Lavie, Steven N. Blair. Associations of Resistance Exercise with CardiovascularDisease Morbidity and Mortality. Medicine & Science in Sports & Exercise, 2019, 51(3): 499-508（SCI）. DOI: 10.1249/MSS.1822
13. Wenchao Xu, Riquan Zhang, Hua Liang. Two-sample Functional Linear Models. Statistica Sinica, 2019, 29: 1891-1913（SCI）, doi: 10.5705/ss.202016.0459
14. Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian, Yanghui Liu.Estimation and Testing for Partially Functional Linear Errors-in-VariablesModels, Journal of Multivariate Analysis, 2019, 170: 296-314（SCI）. doi.org/10.1016/j.jmva.2018.11.005
15. Hui Ding, Riquan Zhang, Jian Zhang. Quantile estimation for ahybrid model of functional and varying coefficient regressions. Journal of Statistical Planning andInference, 2018, 196:1-18 （SCI）https://doi.org/10.1016/j.jspi.2017.10.005
16. Huapeng Li, Yang Liu, Yukun Liu and Riquan Zhang. Comparison ofempirical likelihood and its dual likelihood under density ratio model. Journal of Nonparametric Statistics. 2018,30(3): 581-597（SCI）. https://doi.org/10.1080/**.2018.**
17. Yong Niu, Riquan Zhang, Jicai Liu & Huapeng Li. Nonparametricindependence screening for ultra-high-dimensional longitudinal data underadditive models. Journal ofNonparametric Statistics, 2018, 30(4): 884-905, (SCI), DOI:10.1080/**.2018.**
18. Jianbo Li, Yuan Li, RiquanZhang. B spline variable selection for the single index models. StatisticalPapers, 2017, 58: 691-706 (SCI), DOI 10.1007/s00362-015-0721-z
19. Hui Ding, Yanghui Liu, WenchaoXu, Riquan Zhang. A class of functional partially linear single-index models.Journal of Multivariate Analysis, 2017, 161:68–82（SCI）, http://dx.doi.org/10.1016/j.jmva.2017.07.004
20. Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Quantile regression and variable selection ofsingle-index coefficient model. Annals of the Institute of StatisticalMathematics. 2017, 69：761-789（SCI）, doi:10.1007/s10463-016-0558-9.
21. Hongmei Lin, Wenchao Xu, RiquanZhang, Jianhong Shi, Yuedong Wang. Multiple-index varying-coefficient modelsfor longitudinal data, Journal of Applied Statistics, 2017, 44(11): 1960-1978（SCI）, DOI:10.1080/**.2016.**
22. Yanghui Liu, Riquan Zhang,Hongmei Lin. Local estimation for longitudinal semiparametricvarying-coefficient partially linear model. Journal of the Korean StatisticalSociety, 2017, 46: 246-266（SCI）http://dx.doi.org/10.1016/j.jkss.2016.10.003
23. Hongmei Lin, Riquan Zhang,Jian-Hong Shi. Local Estimation for Varying-Coefficient Models withLongitudinal Data. Communications in Statistics- Theory and Methods,2017,46:15,7511-7528,（SCI）ID: ** DOI:10.1080/**.2016.**
24. Zean Li, Weihua Zhao, RiquanZhang, Jicai Liu.Robust estimation for partially linear single-index model. Communicationsin Statistics- Theory and Methods,2017, 46(11): 5342-5356（SCI）DOI:10.1080/**.2015.**
25. Hongmei Lin, Riquan Zhang,Wenchao Xu, Yuedong Wang.Estimating time-varying treatment switching effectsvia local linear smoothing and quasi-likelihood. Computational Statistics andData Analysis. 2017, 110:50-63（SCI）http://dx.doi.org/10.1016/j.csda.2016.12.012
26. Hongmei Lin, Riquan Zhang,Jianhong Shi, Yuedong Wang. Varying-coefficient single-index model forlongitudinal data. Statistics and Its Interface, 2017，10: 495-504（SCI）doi.org/10.1080/**.2016.**
27. Zhensheng Huang, Riquan Zhang,Yazhao Lv. Semiparametric inference on partially linear single-index model.Communications in Statistics- Theory and Methods,2016, 45(14): 4068-4085（SCI）ID:doi.org/10.1080/**.2014.915045
28. Hongmei Lin, Riquan Zhang,Jianhong Shi, Jicai Liu, Yanghui Liu. A new local estimation method for singleindex models for longitudinal data. Journal of Nonparametric Statistics, 2016，28(3): 644-658（SCI）doi.org/10.1080/**.2016.**
29. Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. Variable selection in partially linear hazard regressionfor multivariate failure time data. Journal of Nonparametric Statistics, 2016，28(2): 375-394（SCI）doi.org/10.1080/**.2016.**
30. Lu Yiqiang, Zhang Riquan, HuBin. The adaptive LASSO spline estimation of single-index model. Journal ofSystems Science and Complexity, 2016, 29(4):1100-1111 (SCI)
31. Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Bayesian Regularized Regression Based on CompositeQuantile Method. Acta Mathematicae Applicatae Sinica, English Series, 2016,32(2): 495-512（SCI）DOI: 10.1007/s10255-016-0579-4
32. Riquan Zhang, Yazhao Lv, WeihuaZhao, Jicai Liu. Composite quantile regression and variable selection insingle-index coefficient model. Journal of Statistical Planning and Inference,2016, 176:1-21（SCI）http://dx.doi.org/10.1016/j.jspi.2016.04.003
33. Alan T. K. Wan, Jinhong You andRiquan Zhang. A Seemingly Unrelated Nonparametric Additive Model withAutoregressive Errors. Econometric Reviews, 2016, 35(5):894-928, (SSCI) DOI:10.1080/**.2014.998149
34. Jianbo Li, Yuan Li, ZhenshengHuang and Riquan Zhang. Empirical likelihood-based serial correlation testingin partially varying coefficient single-index models. Communication inStatistics- Theory and Methods, 2016, 45(15):4471-4485（SCI）DOI:10.1080/**.2014.921306
35. Weihua Zhao, Heng Lian, RiquanZhang, Peng Lai. Estimation and variable selection for proportional responsedata with partially linear single-index models. Computational Statistics andData Analysis. 2016, 96:40-56（SCI）doi.org/10.1016/j.csda.2015.11.004
36. Junying Zhang, Riquan Zhang andZhiping Lu. Quantile-adaptive variable screening in ultra-high dimensionalvarying coefficient models. Journal of Applied Statistics, 2016, 43(4):643-654（SCI）DOI: 10.1080/**.2015.**
37. Jianbo Li, Minglong Guo,Changxin Du, Riquan Zhang,Heng Lian. Empirical likelihood for the class ofsingle index hazard regression models. Journal of the Korean StatisticalSociety, 2015, 44:619-631（SCI）doi.org/10.1016/j.jkss.2015.04.002
38. Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. Variable selection in semiparametric hazard regression formultivariate survival data. Journal of Multivariate Analysis, 2015, 142: 26-40(SCI)doi.org/10.1016/j.jmva.2015.07.015
39. Weihua Zhao, Riquan Zhang, YukunLiu and Jicai Liu. Empirical likelihood based modal regression, StatisticalPapers, 2015, 56: 411-530 (SCI) DOI 10.1007/s00362-014-0588-4
40. Weihua Zhao, Riquan Zhang,Yazhao Lv, Jicai Liu. Variable Selection of Varying Dispersion Student-tRegression Models. Journal of Systems Science and Complexity, 2015, 28:961-977,(SCI) DOI: 10.1007/s11424-014-2223-9
41. Weihua Zhao, Riquan Zhang, JicaiLiu and Hongchang Hu. Robust adaptive estimation for semivarying coefficientmodels. Statistics and probability letters, 2015, 97: 132-141（SCI）http://dx.doi.org/10.1016/j.spl.2014.11.015
42. Yazhao Lv, Riquan Zhang, WeihuaZhao and Jicai Liu. Quantile regression and variable selection of partiallinear single-index model. Annals of the Institute of Statistical Mathematics,2015,67:375-409（SCI）DOI 10.1007/s10463-014-0457-x
43. Jingyan Feng, Riquan Zhang,Yiqiang Lu. Inference on Varying-Coefficient Partially Linear Regression Model.Acta Mathematicae Applicatae Sinica, English Series. 2015, 31(1): 139–156（SCI）DOI: 10.1007/s10255-015-0457-5
44. Jianbo Li, Yuanyuan Wang,Zhensheng Huang, Riquan Zhang and Lin Liu.Testing Serial Correlation in SingleIndex Models. Communication in Statistics-Simulation and Computation, 2015,44:1020-1035（SCI）DOI: 10.1080/**.2013.800878
45. Weihua Zhao, Riquan Zhang, JicaiLiu, Yazhao Lv. Semi-varying coefficient zero-inflated generalized Poissonregression model. Communications in Statistics - Theory and Methods, 2015,44:171-185 (SCI) DOI: 10.1080/**.2012.735325
46. Weihua Zhao, Riquan Zhang, JicaiLiu, Zhensheng Huang and Yazhao Lv. Generalized varying-coefficientsingle-index model. Statistics, 2014, 48(6): 1311–1323 (SCI) doi.org/10.1080/**.2013.858719
47. Weihua Zhao, Riquan Zhang, JicaiLiu, Yazhao Lv. Robust and efficient variable selection for semiparametricpartially linear varying coefficient model based on modal regression. Annals ofthe Institute of Statistical Mathematics, 2014, 66: 165-191（SCI）DOI10.1007/s10463-013-0410-4
48. Weihua Zhao, Riquan Zhang,Yazhao Lv and Jicai Liu. Variable selection for varying dispersion betaregression model. Journal of Applied Statistics, 2014, 41(1): 95-108（SCI）doi.org/10.1080/**.2013.830284
49. Jianbo Li, Minggao Gu, RiquanZhang and Heng Lian. Variable selection for general transformation models withranking data. Statistics, 2014, 48(1): 81–100 (SCI) doi.org/10.1080/**.2012.708034
50. Jicai Liu, Riquan Zhang andWeihua Zhao. Hierarchically penalized additive hazards model with divergingnumber of parameters. Science China Mathematics，2014, 57（4）：873-886（SCI）doi:10.1007/s11425-013-4679-9
51. Weihua Zhao, Riquan Zhang andJicai Liu. Sparse group variable selection based on quantile hierarchicalLasso. Journal of Applied Statistics, 2014, 41(8): 1658-1677（SCI）doi.org/10.1080/**.2014.888541
52. Yazhao Lv, Riquan Zhang, WeihuaZhao and Jicai Liu. Quantile regression and variable selection for thesingle-index model. Journal of Applied Statistics, 2014, 41(7): 1565-1577（SCI）doi.org/10.1080/**.2014.881786
53. Weihua Zhao, Riquan Zhang andJicai Liu. Regularization and model selection for quantile varying coefficientmodel with categorical effect modifiers. Computational Statistics and DataAnalysis. 2014, 79:44-62（SCI）doi.org/10.1016/j.csda.2014.05.003
54. Lin Liu, Jianbo Li and RiquanZhang. General partially linear additive transformation model withright-censored data. Journal of Applied Statistics, 2014, 41(10): 2257-2269（SCI）doi.org/10.1080/**.2014.909788
55. Wenli Deng, Zukang Zheng andRiquan Zhang. Nonparametric Regression with Interval-Censored Data. ActaMathematica Sinica, English Series. 2014, 30(8):1422-1434（SCI）DOI:10.1007/s10114-014-0729-7
56. Riquan Zhang, Weihua Zhao, JicaiLiu. Robust estimation and variable selection for semiparametric partiallylinear varying coefficient model based on modal regression. Journal ofNonparametric Statistics, 2013，25(2): 523-544（SCI）
57. Huang Zhensheng, Zhang Riquan.Profile empirical-likelihood inferences for the single-index-coefficientregression model. Statistics and Computing, 2013, 23: 455-465（SCI）
58. Weihua Zhao, Riquan Zhang,Yazhao Lv and Jicai Liu.Variable selection of the quantile varying coefficientregression models. Journal of the Korean Statistical Society, 2013, 42:343-358（SCI）
59. Zhensheng Huang, Zhen Pang,Riquan Zhang. Adaptive profile-empirical-likelihood inferences for generalizedsingle-index models. Computational Statistics and Data Analysis. 2013, 62:70-82（SCI）
60. Pengcheng Chen, Jiajia Zhang, RiquanZhang. Estimation of the accelerated failure time frailty model undergeneralized gamma frailty. Computational Statistics and Data Analysis. 2013,62:171-180（SCI）
61. Jianbo Li, Minggao Gu, RiquanZhang. Variable selection for general transformation models with right censoreddata via nonconcave penalties. Journal of Multivariate Analysis, 2013, 115:445-456 (SCI)
62. Heung Wong, Riquan Zhang,Bartholomew Leung, Zhensheng Huang. Testing the significance of indexparameters in varying-coefficient single-index models. Computational Statisticsand Data Analysis. 2013, 57:297-308（SCI）
63. Jicai Liu, Riquan Zhang, WeihuaZhao and Yazhao Lv. A robust and efficient estimation method for single indexmodels. Journal of Multivariate Analysis, 2013, 122: 226-238 (SCI)doi.org/10.1016/j.jmva.2013.08.007
64. Weihua Zhao, Riquan Zhang andJicai Liu. Robust variable selection for the varying coefficient model based oncomposite L1–L2regression. Journal of Applied Statistics, 2013, 40(9): 2024-2041（SCI）doi.org/10.1080/**.2013.804040
65. Yazhao Lv, Riquan Zhang andZhensheng Huang. Estimation of Semi-Varying Coefficient Model with SurrogateData and Validation Sampling. Acta Mathematicae Applicatae Sinica, EnglishSeries. 2013, 29(3):645-660（SCI）DOI: 10.1007/s10255-013-0241-3
66. Jingyan Feng and Riquan Zhang.Inference On Coefficient Function For Varying-Coefficient Partially LinearModel. Journal of Systems Science and Complexity, 2012, 25:1143-1157(SCI) DOI:10.1007/s11424-012-0324-x
67. Huang Zhensheng & ZhangRiquan.Testing for the parametric parts in a single-index varying-coefficientmodel. Science in China(A)，2012, 55（5）：1017-1028（SCI）
68. Jianbo Li and Riquan Zhang.General partially linear varying-coefficient transformation model with rightcensored data. Journal of Statistical Planning and Inference, 2012, 142:1285-1293（SCI）
69. Jinyan Feng, Zhensheng Huang,and Riquan Zhang. Estimation on Varying-Coefficient Partially Linear Model WithDifferent Smoothing Variables. Communication in Statistics-Theory and Methods,2012, 41:516-529（SCI）Zhao Weihua, Zhang Riquan, Huang Zhensheng, Feng Jingyan. Partiallylinear single-index beta regression model and score test. Journal ofMultivariate Analysis, 2012, 103: 116-123 (SCI)
70. Yazhao Lv, Riquan Zhang andZhensheng Huang. Nonparametric estimation of varying coefficienterror-in-variable models with validation sampling. Journal of StatisticalPlanning and Inference, 2011, 141: 3323-3344（SCI）
71. Huang Zhensheng & ZhangRiquan. Efficient Empirical-Likelihood-Based Inferences for the Single-IndexModels. Journal of Multivariate Analysis, 2011, 102: 937-947 (SCI)
72. Jianbo Li and Riquan Zhang.Partially Varying Coefficient Single Index Proportional Hazards RegressionModels. Computational Statistics and Data Analysis. 2011, 55:389-400（SCI）
73. Bratholomew Leung, Heung Wong,Riquan Zhang and Shengtong Han. Smoothing Spline Estimation for PartiallyLinear Single-index Models. Communication in Statistics-Simulation andComputation, 2010, 39:1953-1961（SCI）
74. Zhensheng Huang and RiquanZhang. Empirical Likelihood for the Varying-Coefficient Single-index Model. CanadianJournal of Statistics, 2010,38(3): 434-452(SCI)
75. Riquan Zhang, Zhensheng Huangand Yazhao Lv. Statistical inference for the index parameter in single-indexmodels. Journal of Multivariate Analysis,2010, 101: 1026-1041(SCI)
76. Zhensheng Huang and RiquanZhang. Tests for Varying-Coefficient Parts on Varying-Coefficient Single-indexModel. Journal of the Korean Mathematical Society, 2010,47(2): 385-407(SCI)
77. Jianbo Li and Riquan Zhang.Penalized Spline Varying-Coefficient Single Index Model. Communication inStatistics-Simulation and Computation, 2010, 39:221-239（SCI）
78. Zhensheng Huang, Zhangong Zhou,Rong Jiang, Weimin Qian and Riquan Zhang. Empirical Likelihood Based InferenceFor Semiparametric Varying Coefficient Partially Linear Models With Error-proneLinear Covariates. Statistics and probability letters, 2010, 80: 497-504（SCI）



荣誉及奖励
2018年，获华东师范大学教学成果奖一等奖
2017年，获上海市教学成果奖一等奖
2016年，获上海市自然科学奖三等奖
2014年，获上海市育才奖
2013年，获华东师范大学优秀博士生导师称号
2011年，获上海市研究生优秀成果奖（博士学位论文）