教育经历
2008.9-2012.7，学士，集团
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，团队博士后，澳门尼威斯人网站，集团
2017.7-2021.7，讲师，澳门尼威斯人网站，集团
2021.7-至今，副教授，澳门尼威斯人网站，集团
基金项目
中国博士后科学基金面上项目，2017-2019，主持，已结项
集团科学研究基金，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
国家自然科学基金青年基金，2021~2023，主持，在研
集团科学研究基金面上项目，2021-2023，主持，在研
全国统计科学研究重大项目，2022-2024，主持，在研
学术或教学奖励
2016 IEEE International Conference on Data Science in Cyberspace, Best Student Paper Award
集团优秀科研成果奖（2020、2021）
集团本科课外教学优秀奖（2021）
集团本科优秀论文指导教师（2021、2022）
集团青年教师基本功大赛二等奖
开设课程
时间序列分析（本科），2017-至今
数据科学概论（本科），2021-至今
回归分析（本科），2021-至今
非结构化数据分析（硕士），2022-至今
时间序列分析选讲（博士），2020-至今
研究方向
文本挖掘及其商业应用，大规模数据的统计分析，社交网络分析、联邦学习等
论文成果
l Wang, F., Liang, D., Li, Y., Ma, S. (2023). Prior Information Assisted Integrative Analysis of Multiple Datasets. Bioinformatics. To appear.
l Qi, H., Wang, F.*, Wang, H. (2023). Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator. Journal of Computational and Graphical Statistics. To appear.
l Wang, F., Li, H., Li, Y. (2023). Spatial Correlated Incidence Modeling with Zero-Inflation. Biometrical Journal. To appear.
l Song, J., Wang, F.*, Yang, Y. (2023). Peer-Label Assisted Hierarchical Text Classification. Accepted by the 61st Annual Meeting of the Association for Computational Linguistics (ACL' 23)
l Li, X., Wang, F.*, Lan, W., Wang, H. (2023). Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks. Electronic Journal of Statistics,17: 1768-1805.
l Lu, X., Guo, Y., Chen, J., and Wang, F.* (2022). Topic Change Point Detection Using a Mixed Bayesian Model. Data Mining and Knowledge Discovery. 36(1): 146-173.
l Guo, Y., Wang, F., Xing, C., Lu, X. (2022). Mining Multi-brand Characteristics from Online Reviews for Competitive Analysis A Brand Joint Model Using Latent Dirichlet Allocation. Electronic Commerce Research and Applications. 53(2022):101141.
l Zhou, J., Liu, J., Wang, F., and Wang, H. (2022). Autoregressive Model with Spatial Dependence and Missing Data. Journal of Business and Economic Statistics. 40(1):28-34.
l Wang, F., Huang, D., Gao, T., Wu, S., Wang, H. (2022). Sequential One-Step Estimator by Subsampling for Customer Churn Analysis with Massive Datasets. Journal of the Royal Statistical Society: Series C (Applied Statistics). 71(5): 1753-1786.
l Zhu, Y., Lu, X., Hong, J., Wang, F.* (2022). Joint Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora. Data Mining and Knowledge Discovery. 36: 2272–2298.
l Wang, F., Zhou, R., Feng, Y., Lu, X. (2022). Bayesian Sparse Joint Dynamic Topic Model with Flexible Lead-Lag Order. Information Sciences. 616: 392-410.
l Wang, F., Duan, C., Li, Y., Huang, H., Shia, B.C. (2022). Spatiotemporal Varying Coefficient Model for Respiratory Disease Mapping in Taiwan. Biostatistics. DOI: 10.1093/biostatistics/kxac046
l 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
l 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
l 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
l 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.
l 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.
l 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.
l 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.
l 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.
l Wang, F., Wang, J., Gelfand, A. E. and Li, F. (2018). Disease Mapping with Generative Models. The American Statistician. 1-11.
l 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.
l 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.
l 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
l 王菲菲，朱雪宁，潘蕊，高天辰. (2021). 广义网络向量自回归；中国科学（数学）. 2021, 51（8）: 1253-1266.
l 王雅琼，徐敏亚，王菲菲*. (2021). 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. 40(2): 191-204.
l 王菲菲，贾珂，张开宇，李扬. (2023). 融合先验信息的整合财务预警模型研究. 统计研究，已接收.