A New Application of Machine Learning: Detecting Errors in Network Simulations. - Maciej K. Wozniak; Luke Liang; Hieu Phan; Philippe J. Giabbanelli (WSC, 2022)

Preserving Simulation Insight While Removing Data: Verification of Compressed Simulation Traces via Machine Learning. - My Nguyen; Duc Vu; Anh Vo; Luke Liang; Philippe J. Giabbanelli (ANNSIM, 2023)

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art. - Ryan Schuerkamp; Luke Liang; Ketra L. Rice; Philippe J. Giabbanelli (Comput., 2023)

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations. - Luke Liang; Hieu Phan; Philippe J. Giabbanelli (Simul., 2024)