个人简历
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，在研国家重点研发计划“公共安全风险防控与应急技术装备”重点专项，2018-2021，参与，在研全国统计科学研究一般项目，2018-2020，主持，在研学术奖励2016 IEEE International Conference on Data Science in Cyberspace, Best Student Paper Award开设课程分布式计算，2017-2018时间序列分析，2017-至今
研究领域
文本挖掘，大数据计算，空间统计学，贝叶斯分析""
近期论文
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, 2016/6/13-2016/6/162.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. Sequential Text-Term Selection in Vector Space Models. Journal of Business and Economic Statistics. To appear.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.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
