程瑞华，博士，金融学院讲师

研究方向：

高维数据挖掘、保险精算、统计学习

教育经历：

2012.9 -2016.8 统计学博士，新泽西理工学院(New Jersey Institute of Technology)，美国

2008.9 -2012.7 理学学士，信息与计算科学，河南财经政法大学

讲授课程：

《基于Python的案例应用》、《数据挖掘技术》、《保险学》、《金融科技虚拟仿真实验》

论文发表（时间顺序）：

[1] Tian, Tian,Ruihua Cheng, and Zhi Wei. "An empirical Bayes change-point model for transcriptome time-course data." The Annals of Applied Statistics 15, no. 1 (2021): 509-526. (SCI Q2)

[2]Ruihua Cheng, Jie Zhang, and Pengcheng Hu. "Document-level emotion detection using graph-based margin regularization." Neurocomputing 398 (2020): 55-63. (SCI Q2)

[3]Ruihua Cheng, Zhi Wei and Kai Zhang, "Network Inference from Contrastive Groups Using Discriminative Structural Regularization", Proceedings of the 2018 SIAM International Conference on Data Mining. (CCF B, acceptance rate=19%)

[4]Ruihua Cheng, and Ji Meng Loh, "Learning-Based Method with Valence Shifters for Sentiment Analysis." 2017 IEEE International Conference on Data Mining Workshops. IEEE.

[5] Jie Zhang, Kuang Du,Ruihua Cheng, and Z.Wei, “Reliable gender prediction based on users' video viewing behavior", In 2016 IEEE 16th International Conference on Data Mining. pp. 649-658. (CCF B, acceptance rate=8.5%)

[6] Qingfu Li andRuihua Cheng, "Construction of Exact Traveling Wave for KP-Type Equation Based on Symbolic Computation", 2011 Communications in Computer and Information Science 175, PP 280-285.

科研项目：

[1]基于机器学习的长期护理保险精算预测模型与风险分析，国家自然科学基金面上项目,项目编号：71771163，参与

[2]大数据背景下社会医疗保险一体化精准治理体系研究，天津市教委重大课题，参与

[3]大数据背景下多层次养老服务体系建设研究，天津市社科规划办,参与

学术报告：

[1]北大数字金融中心第四届学术年会暨China & World Economy专题研讨会,中国北京,2019

[2] International Chinese Statistical Association，中国上海，2019

[3] 2018 SIAM International Conference on Data Mining，美国加州，2018

[4] 2017 international conference on Data Mining，美国路易斯安那州，2017

[5] From Industrial Statistics to Data Science Conference,美国密歇根州，2015

[6] Dana Knox Student Research Showcase workshop,美国新泽西州，2015

联系方式：

Email：crh665@163.com