Hieu Le

According to our database, Hieu Le authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors.

Hieu Le, Mostafa Ibrahim, Oguz Bedir, Jian Tao, Sabit Ekin

CoRR, April, 2026

Bypassing the CSI Bottleneck: MARL-Driven Spatial Control for Reflector Arrays.

Hieu Le, Oguz Bedir, Mostafa Ibrahim, Jian Tao, Sabit Ekin

CoRR, April, 2026

Learning to Reflect: Hierarchical Multi-Agent Reinforcement Learning for CSI-Free mmWave Beam-Focusing.

Hieu Le, Oguz Bedir, Mostafa Ibrahim, Jian Tao, Sabit Ekin

CoRR, March, 2026

2024

Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units.

Hieu Le, Zhenhua He, Mai Le, Dhruva Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, Jiefu Chen

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Guiding Wireless Signals with Arrays of Metallic Linear Fresnel Reflectors: A Low-cost, Frequency-versatile, and Practical Approach.

Hieu Le, Oguz Bedir, Mostafa Ibrahim, Jian Tao, Sabit Ekin

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication.

Alyssa Cassity, Hieu Le, Hernán Santos, Erik Priest, Jian Tao

Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

2023

Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data.

Hieu Le, Hernán Santos, Jian Tao

CoRR, 2023

Porting AI/ML Models to Intelligence Processing Units (IPUs).

Abhinand Nasari, Lujun Zhai, Zhenhua He, Hieu Le, Suxia Cui, Dhruva Chakravorty, Jian Tao, Honggao Liu

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Development of a Training Framework for Novel Accelerators.

Zhenhua He, Sandra B. Nite, Joshua Winchell, Abhinand Nasari, Hieu Le, Jiao Tao, Dhruva Chakravorty, Lisa Perez, Honggao Liu

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads.

Abhinand Nasari, Hieu Le, Richard Lawrence, Zhenhua He, Xin Yang, Mario Krell, Alex Tsyplikhin, Mahidhar Tatineni, Tim Cockerill, Lisa M. Perez, Dhruva Chakravorty, Honggao Liu

Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022