姓　　名：李文东

职　　称：副教授
研究方向：统计过程控制、多重检验、因果推断

教授课程：机器学习、数理统计                      

E - mail：liwendong@mail.shufe.edu.cn

电话：(021)65902491    

研究领域

统计过程控制、多重检验、因果推断

教育经历

2015.9-2019.12 华东师范大学 统计学博士

2017.10-2018.10 佛罗里达大学 联合培养博士

2011.9-2015.6 华东师范大学 统计学学士

工作经历

2023.7-至今  韦德官方网站 副教授

2020.1-2023.6 韦德官方网站 助理研究员

2021.9-2022.8 东北师范大学 访问学者

2017.3-2017.8 香港科技大学 研究助理

研究成果

*代表通讯作者

1.     Li, Y., Wu, C., Li, W.*, Tsung, F. (2022+). Nonparametric Passenger Flow Monitoring Using a Minimum Distance Criterion. IISE Transactions, in press.

2.     Fang, Z., Li, W., Liu, X., Pu, X., Xiang, D. (2022+). Online Monitoring of High-Dimensional Binary Data Streams with Application to Extreme Weather Surveillance. Journal of Applied Statistics, in press.

3.     Xiang, D., Qiu, P., Wang, D., Li, W.* (2022). Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams. Technometrics, , 64(3), 323-334.

4.     Li, W., Tsung, F., Song, Z., Zhang, K., Xiang, D. (2021). Multi-Sensor Based Landslide Monitoring via Transfer Learning. Journal of Quality Technology, 53(5), 474-487.

5.     Li, W., Zhang, C., Tsung, F. and Mei, Y. (2021). Nonparametric Monitoring of Multivariate Data via KNN Learning. International Journal of Production Research, 59(20), 6311-6326.

6.     Xiang, D., Li, W.*, Tsung, F., Pu, X., Kang, Y. (2021). Fault Classification for High-Dimensional Data Streams: A Directional Diagnostic Framework Based on Multiple Hypothesis Testing. Naval Research Logistics, 68, 973-987.

7.     Kang, Y., Shi, Y., Jiao, Y., Li, W., Xiang, D. (2021). Fitting Jump Additive Models. Computational Statistics & Data Analysis, 162, 107266.

8.     Wang, X., Tsung, F., Li, W.*, Xiang, D, Cheng, C. (2021). Optimal Space-Filling Design for Symmetrical Global Sensitivity Analysis of Complex Black-Box Models. Applied Mathematical Modelling, 100, 303–319.

9.     Xiang, D., Mukherjee, A., Hu, Z., Li, W.* (2021). Online Anomaly Detection of Profiles with Varying Coefficients via Functional Mixed Effects Modelling. Applied Mathematical Modelling, 93, 467–484.

10.   Li, W., Xiang, D., Tsung, F. and Pu, X. (2020). A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control. Technometrics, 62(1), 84-100.

11.   Qiu P., Li, W.* and Li, J. (2020). A New Process Control Chart for Monitoring Short-Range Serially Correlated Data. Technometrics, 62(1), 71-83.

12.   Li, W. and Qiu P. (2020). A General Charting Scheme for Monitoring Serially Correlated Data with Short-Memory Dependence and Nonparametric Distributions. IISE Transactions, 52(1), 61-74.

13.   Xiang, D., Tsung, F., Pu, X. and Li, W.* (2020). Change Detection of Profile with Jumps and its Application to 3D Printing. Computers & Industrial Engineering, 139, 1-10.

14.   Xiang, D., Gao, S., Li, W.*, Pu, X. and Dou, W. (2019). A New Nonparametric Monitoring of Data Streams for Changes in Location and Scale via Cucconi Statistic. Journal of Nonparametric Statistics, 31, 743-760.

15.   Li, W., Dou, W., Pu, X. and Xiang, D. (2018). Monitoring Individuals with Irregular Semiparametric Longitudinal Behaviour. Quality Technology & Quantitative Management, 15, 37-52.

16.   Li, W., Pu, X., Tsung, F. and Xiang, D. (2017). A Robust Self-starting Spatial Rank Multivariate EWMA Chart Based on Forward Variable Selection. Computers & Industrial Engineering, 103, 116-130.

17.   Wang, L., Li, W., Liu, G. and Pu, X. (2015). Spatial Median Depth-based Robust Adjusted Empirical Likelihood. Journal of Nonparametric Statistics, 27, 485-502.

社会工作

全国工业统计学教学研究会数字经济与区块链技术协会理事

长期担任Technometrics、Journal of Quality Technology、Computers & Industrial Engineering、Journal of Statistical Computation and Simulation、Journal of Applied Statistics、应用概率统计、系统科学与数学等学术期刊的审稿人

奖励荣誉

2020 上海市“超级博士后”激励计划

2016 国家奖学金

2013 第十三届全国大员工挑战杯课外学术科技作品竞赛 一等奖

学术报告

中国现场统计研究会资源与环境统计分会2021年“统计科学与数据科学学术研讨会”，2021年10月，中国重庆

The ICSA 2020 Applied Statistics Symposium (Online), Dec 2020, Houston, USA.

The 10th ICSA International Conference, Dec 2016, Shanghai, China.

The Guangdong Statistical Postgraduate Forum, Oct 2016, Guangzhou, China

The 5th Annual Meeting of Applied Statistics in Yangtze River Delta, Nov 2014, Hefei, China (Best Paper Award)