Luke Liang

According to our database, Luke Liang authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Luke Liang, Ryan Schuerkamp, Ketra L. Rice, M. Melissa Brown, Nisha Nataraj, Jennifer Mendoza-Alonzo, Curtis S. Florence, Andrew Page, Christopher R. Harper, Benjamin D. Maldonado, Brendan Moran, Philippe J. Giabbanelli

Artif. Intell. Medicine, 2026

2024

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations.

Luke Liang, Hieu Phan, Philippe J. Giabbanelli

Simul., 2024

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., June, 2023

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

Proceedings of the Annual Modeling and Simulation Conference, 2023

2022

A New Application of Machine Learning: Detecting Errors in Network Simulations.

Maciej K. Wozniak, Luke Liang, Hieu Phan, Philippe J. Giabbanelli

Proceedings of the Winter Simulation Conference, 2022