A Low-Cost Hardware-in-the-Loop Agent-Based Simulation Testbed for Autonomous Vehicles. - Ray Barker; Aaron Hurst; Ridge Shrubsall; Ghulam Mubashar Hassan; Tim French 002 (AIM, 2018)

Direct Analytics of Generalized Deduplication Compressed IoT Data. - Aaron Hurst; Qi Zhang 013; Daniel E. Lucani; Ira Assent (GLOBECOM, 2021)

GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics. - Aaron Hurst; Daniel E. Lucani; Ira Assent; Qi Zhang 013 (IEEE Internet Things J., 2023)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)

PairwiseHist: Fast, Accurate, and Space-Efficient Approximate Query Processing with Data Compression. - Aaron Hurst; Daniel E. Lucani; Qi Zhang 013 (Proc. VLDB Endow., 2024)

GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. - Aaron Hurst; Daniel E. Lucani; Qi Zhang 013 (IEEE Trans. Ind. Informatics, 2024)

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT. - Aaron Hurst; Andrey V. Kalinichev; Klaus Koren; Daniel E. Lucani (CoRR, 2025)

dreaMLearning: Data Compression Assisted Machine Learning. - Xiaobo Zhao; Aaron Hurst; Panagiotis Karras; Daniel E. Lucani (CoRR, 2025)

Power Stabilization for AI Training Datacenters. - Esha Choukse; Brijesh Warrier; Scot Heath; Luz Belmont; April Zhao; Hassan Ali Khan; Brian Harry; Matthew Kappel; Russell J. Hewett; Kushal Datta; Yu Pei; Caroline Lichtenberger; et al. (CoRR, 2025)