近五年主要工作：
1. X.Li, X. Niu, G. Liu. Spatiotemporal RepresentationLearning for Rescue Route Selection: An Optimized Regularization Based Method. Electronic Commerce Research and Applications. DOI: 10.1016/j.elerap.2021.101065, 2021.
2. S. Li, X. Li*. Bank Competition,Regulation, and Efficiency: Evidence from the Asia-Pacific Region. Asia-Pacific Journal of Accounting &Economics. DOI: 10.1080/16081625.2020.1787854,2020.
3.刘冠男, 曲金铭, 李小琳*, 吴俊杰. 基于深度强化学习的救护车动态重定位调度研究. 管理科学学报 2020.
4. X.Li, L. Ma, X. He*, and H. X.. You AreHow You Behave-Spatiotemporal Representation Learning for College StudentAcademic Achievement. JCST 2020, 35(2): 353- 367.
5. X.Li, Zhuang Y, Fu Y, et al. A Trust-Aware Random Walk Model forReturn Propensity Estimation and Consumer Anomaly Scoring in Online Shopping.SCIENCE CHINA Information Sciences, 2019, 62(5).
6. X.Li, Zhuang Y, Lu B*, Chen G. AMulti-Stage Hidden Markov Model of Customer Repurchase Motivation in OnlineShopping. Decision Support Systems, 2019, 120:72-80.
7. P. Wang, X. Li*, Y. Zheng, C.Aggarwal, Y. Fu*. Spatiotemporal Representation Learning for Driving Behavior Analysis: AJoint Perspective of Peer and Temporal Dependencies. IEEE Transactions on Knowledge Discovery and Engineering, DOI:10.1109 /TKDE.2 019.293 5203.2019.
8. Y. Fu, J. Liu, X. Li*, and H.X. A Multi-Label Multi-View LearningFramework for In-App Service Usage Analysis. ACM TIST 2018, 9(4): Article 40.
