朱利平，中国人民大学教授研究方向是：降维，高维数据分析，半参数回归模型，教授课程有：数理统计学、时间序列和数据挖掘。

大规模数据分析技术、充分降维方法、半参数回归模型、生物统计

2001年6月获得华东师范大学理学学士

2006年6月获得华东师范大学理学博士学位

2007年

【1】 Li-Ping ZHU and Li-Xing ZHU：On Kernel Method for Sliced Average Variance Estimation，Journal of Multivariate Analysis，98(5), 970-991.

【2】 Li-Xing ZHU、Li-Ping ZHU and Xin LI：Transformed Partial Least Squares for Multivariate Data, Statistica Sinica, 17(4), 1657-1676.

2009年

【3】 Yu ZHOU, Li-Ping ZHU and Li-Xing ZHU，On Splines Approximation for Sliced Average Variance Estimation, Journal of Statistical Planning and Inference, 139(4), 1493-1505.

【4】 Li-Ping Zhu and Lixing Zhu . Nonconcave Penalized Inverse Regression in Single-Index Models with High Dimensional Predictors, Journal of Multivariate Analysis, 100(5), 862-875

【5】 Li-Ping Zhu and Lixing Zhu . On Distribution-weighted partial least squares with diverging number of highly correlated predictors, Journal of the Royal Statistical Society, Series B 71(2), 525-548.

【6】 Li-Ping ZHU and Li-Xing ZHU, Dimension-Reduction for Conditional Variance in Regressions, Statistica Sinica. 19(2), 869-883.

2010年

【7】 Li-Ping ZHU, Li-Xing ZHU and Songqiao Wen, Dimension reduction in regressions with multivariate responses, Statistica Sinica 20(3), 1291-1307

【8】 Gaorong LI， Li-Ping ZHU and Lixing ZHU, Confidence region for the direction in general single-index model, Journal of Multivariate Analysis 101(6), 1364-1377

【9】 Li-Ping Zhu, Zhou Yu and Lixing Zhu, A sparse eigen-decomposition estimation for semi-parametric models. Computational 统计学 and Data Analysis. 54(4), 976-986.

【10】 Li-Ping Zhu, Tao Wang，Lixing Zhu, and Louis Ferre, Sufficient dimension reduction through discretization-expectation estimation. Biometrika 97(2), 295-304.

《系统科学与数学》期刊编委

Editorial Service

2014---: The Annals of 统计学

2014---: Journal of Systems Science and 数学