姓　　名：李文东
职　　称：助理研究员
研究方向：应用统计、工业统计
教授课程：概率论、数理统计
E - mail：liwendong@mail.shufe.edu.cn
电话：(021)**










研究领域


工业大数据、统计过程控制、在线监控与异常诊断、大规模多重检验等


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 理学学士（统计学）


工作经历


2020.1-至今 上海财经大学 助理研究员
2017.3-2017.8 香港科技大学 研究助理
研究成果


1. Xiang, D., Mukherjee, A., Hu, Z., Li, W.*(2020+). Online Anomaly Detection of Profiles with Varying Coefficients via Functional Mixed Effects Modelling. Applied Mathematical Modelling, https://doi.org/10.1016/j.apm.2020.11.039.
2. Li, W., Zhang, C., Tsung, F. and Mei, Y. (2020+). Nonparametric Monitoring of Multivariate Data via KNN Learning. International Journal of Production Research, https://doi.org/10.1080/**.2020.**.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Li, W., Dou, W., Pu, X. and Xiang, D. (2018). Monitoring Individuals with Irregular Semiparametric Longitudinal Behaviour. Quality Technology & Quantitative Management, 15, 37-52.
9. 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.
10. 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、Computers & Industrial Engineering、Journal of Applied Statistics等学术期刊的匿名审稿人


奖励荣誉
2020 上海市超级博士后激励计划
2016 国家奖学金
2013 第十三届全国大学生挑战杯课外学术科技作品竞赛 一等奖


学术报告
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)