Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. - Shengkun Xie; Anna T. Lawniczak; Junlin Hao; Chong Gan (SSCI, 2019)

Modeling and Analysis of Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway. - Shengkun Xie; Anna T. Lawniczak; Chong Gan (Comput., 2019)

Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models. - Shengkun Xie; Chong Gan; Clare Chua-Chow (DATA, 2021)

Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities. - Shengkun Xie; Chong Gan (FUZZ-IEEE, 2022)

Optimal number of clusters in explainable data analysis of agent-based simulation experiments. - Shengkun Xie; Anna T. Lawniczak; Chong Gan (J. Comput. Sci., 2022)