教师队伍

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王菲菲

职 称: 副教授


职 务:


电子邮箱: feifei.wang@ruc.edu.cn

教育经历

2008.9-2012.7,学士,中国人民大学 

2015.9-2016.9,交流学者,杜克大学 

2012.9-2017.7,博士,北京大学


工作经历

2017.7-2019.6,师资博士后,统计学院,中国人民大学 

2017.7-2021.7,讲师,统计学院,中国人民大学 

2021.7-至今,副教授,统计学院,中国人民大学


基金项目

中国博士后科学基金面上项目,2017-2019,主持,已结项 

中国人民大学科学研究基金,2017-2020,主持,已结项 

国家重点研发计划“公共安全风险防控与应急技术装备”重点专项,2018-2021,参与,已结项 

全国统计科学研究一般项目,2018-2021,主持,在研 

国家自然科学基金青年基金,2021~2023,主持,在研 

中国人民大学科学研究基金面上项目,2021-2023,主持,在研

学术奖励

2016 IEEE International Conference on Data Science in Cyberspace, Best Student Paper Award

开设课程

时间序列分析,2017-至今 

时间序列分析选讲,2020-至今 

数据科学概论,2021-至今 

回归分析,2021-至今


研究方向

文本挖掘,大数据计算,空间统计学,贝叶斯分析


论文成果

Lu X., Guo Y., Chen J. and Wang F.* Topic change point detection using a mixed Bayesian model. Data Mining and Knowledge Discovery. To appear. 

Zhou, J., Liu, J.*, Wang, F., and Wang, H. Autoregressive Model with Spatial Dependence and Missing Data. Journal of Business and Economic Statistics. To appear. 

Yang, Y. and Wang F.* (2021). Author Topic Model for Co-occurring Normal Documents and Short Texts to Explore Individual User Preferences. Information Sciences. 570 (2021), 185-199 

Wang, F., Zhang, L. J.*, Li, Y., Deng, K. and Liu, S. J. (2021). Bayesian Text Classification and Summarization via A Class-Specified Topic Model. Journal of Machine Learning Research. 22 (2021), 1-48 

Wang, F., Zhu, Y., Huang, D., Qi, H. and Wang, H. (2021). Distributed One-Step Upgraded Estimation for Non-Uniformly and Non-Randomly Distributed Data. Computational Statistics & Data Analysis. 162(2021), 107265 

Wang, F., Liu, J.*, and Wang, H. (2021) Sequential Text-Term Selection in Vector Space Models. Journal of Business and Economic Statistics. 39(1):82-97. 

Yang, Y., Liu, Y., Lu, X., Xu, J., and Wang, F.* (2020). A named entity topic model for news popularity prediction. Knowledge-Based Systems. 208:106430. 

Ren, T., Wang, F.*, and Wang, H. (2020). A Sequential Naive Bayes Method for Music Genre Classification Based on Transitional Information from Pitch and Beat. Statistics and Its Interface. 13: 361-371.

Huang, D., Wang, F.*, Zhu, X., and Wang, H. (2020). Two-Mode Network Autoregressive Model for Large-Scale Networks. Journal of Econometrics. 216:203-219. 

Wang, F., Yang, Y., Tso, G. K. F., and Li, Y.* (2019) Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews. Electronic Commerce Research. 19(4):863-884. 

Wang, F.*, Wang, J., Gelfand, A. E. and Li, F. (2018). Disease Mapping with Generative Models. The American Statistician. 1-11. 

Yang, Y., Wang, F.*, Zhang, J., Xu, J. and Yu, P. S. (2018). A Topic Model for Co-occurring Normal Documents and Short Texts. World Wide Web Journal. 21(2), 487-513. Wang, F.*, Wang, J., Gelfand, A. E. and Li, F. (2017). Accommodating the Ecological Fallacy in Disease Mapping in the Absence of Individual Exposures. Statistics in Medicine. 36(30): 4930-4942.

Yang, Y., Wang, F.*, Jiang, F., Xu, J. and Yu, P. S., A Topic Model for Hierarchical Documents. International Conference on Data Science in Cyberspace, IEEE (2016), Changsha, China, 2016/6/13-2016/6/16 

王菲菲,朱雪宁*,潘蕊. (2021). 广义网络向量自回归;中国科学(数学). 51(8): 1253-1266 

王雅琼,徐敏亚,王菲菲*. 隐含动态地理统计校准模型—以PM2.5污染分析为例;数理统计与管理. 已接收.