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教学团队

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王菲菲

职 称: 讲师


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

2017.7-2019.7,师资博士后,统计学院,中国人民大学
2017.7-至今,讲师,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


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

1.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
2.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.
3.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.
4.Wang, F.*, Wang, J., Gelfand, A. E. and Li, F. (2018). Disease Mapping with Generative Models. The American Statistician. 1-11.
5.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.
6.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.
7.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.
8.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.
9.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.
10.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.
11.Wang, F., Zhu, Y., Huang, D., Qi, H. and Wang, H. Distributed One-Step Upgraded Estimation for Non-Uniformly and Non-Randomly Distributed Data. Computational Statistics & Data Analysis. To appear.
12.Yang, Y. and Wang F.* Author Topic Model for Co-occurring Normal Documents and Short Texts to Explore Individual User Preferences. Information Sciences. To appear.
13.Wang, F., Zhang, L. J.*, Li, Y., Deng, K. and Liu, S. J. Bayesian Text Classification and Summarization via A Class-Specified Topic Model. Journal of Machine Learning Research. To appear.
14.王菲菲,朱雪宁*,潘蕊. 广义网络向量自回归;中国科学(数学). 2020年7