Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads. - Abhinand Nasari; Hieu Le 002; Richard Lawrence; Zhenhua He; Xin Yang; Mario Krell; Alex Tsyplikhin; Mahidhar Tatineni; Tim Cockerill; Lisa M. Perez; Dhruva Chakravorty; Honggao Liu (PEARC, 2022)

Development of a Training Framework for Novel Accelerators. - Zhenhua He; Sandra B. Nite; Joshua Winchell; Abhinand Nasari; Hieu Le 002; Jiao Tao; Dhruva Chakravorty; Lisa Perez; Honggao Liu (FIE, 2023)

Porting AI/ML Models to Intelligence Processing Units (IPUs). - Abhinand Nasari; Lujun Zhai; Zhenhua He; Hieu Le 002; Suxia Cui; Dhruva Chakravorty; Jian Tao; Honggao Liu (PEARC, 2023)

Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data. - Hieu Le 002; Hernán Santos; Jian Tao (CoRR, 2023)

Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication. - Alyssa Cassity; Hieu Le 002; Hernán Santos; Erik Priest; Jian Tao (DDDAS/Infosymbiotics, 2024)

Guiding Wireless Signals with Arrays of Metallic Linear Fresnel Reflectors: A Low-cost, Frequency-versatile, and Practical Approach. - Hieu Le 002; Oguz Bedir; Mostafa Ibrahim; Jian Tao; Sabit Ekin (VTC Fall, 2024)

Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units. - Hieu Le 002; Zhenhua He; Mai Le; Dhruva Chakravorty; Lisa M. Perez; Akhil Chilumuru; Yan Yao; Jiefu Chen (PEARC, 2024)