刘进

2009.09-2013.06 武汉大学数学与统计学院统计学专业 获得学士学位

2013.09-2019.07 北京大学光华管理学院统计学专业 获得博士学位，导师：王汉生教授

2019.07- 至今   南开大学统计与数据科学院   讲师

高维数据统计推断、分布式和在线学习、大规模网络数据、时空数据分析

本科课程：

非参数统计

研究生课程：

商务数据分析

2023.01-2025.12 国家自然科学基金青年项目，主持

1. Liu, J., Ma, W., Wang, L.*, Lian, H. Sparse and Debiased Lasso Estimation and Statistical Inference for Long Time Series via Divide-and-Conquer. Statistics and Computing, forthcoming.

2.Yang, J., Shao, Y., Liu, J., Wang, L.* (2025). Double Machine Learning for Partially Linear Mediation Models with High-dimensional Confounders, Neurocomputing, 128766.

3. Han, D., Xie, J., Liu, J.*, Sun, L., Huang, J., Jian, B., and Kong, L. (2024). Inference on high-dimensional single-index models with streaming data.  Journal of Machine Learning Research, 25(337)，1-68. 

4. Liu, J., Zhou, J.*, Lan, W., Wang, H. (2023). Spatial dynamic panel models with missing data, Stat, e585.

5. Zhou, J., Liu, J.*, Wang, F., and Wang, H. (2022). Autoregression Model with Spatial Dependence and Missing Data, Journal of Business & Economic Statistics, 40:1, 28-34. 

6. Liu, J., Ma, Y.*, and Wang, H. (2020). Semiparametric Model for Covariance Regression Analysis, Computational Statistics and Data Analysis, 142, 106815.

7. Xu, K., Sun, L., Liu, J., Zhu, X.*, and Wang, H. (2020). A Spatial Autoregression Model with Time Varying Coefficients, Statistics and Its Interface, 13:2, 261-270.

8. Liu, J.* (2019). Averaging Estimation for Conditional Covariance Models. Communications in Statistics: Theory and Methods, 48:16, 3992-4007.