Mai Le

22 papers B 1Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials
Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham
2025 B conf
Sum Rate Maximization in Downlink HAP-RSMA-based THz Systems: A Generative Diffusion Model enabled RL Approach.
GLOBECOM
Mai Le, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen
2025 — conf
Sustainable Federated Learning with Mobile Crowdsensing: A DRL Approach for Learning Efficiency Maximization.
ICC
Jiahui Zhao, Ming Chen, Mai Le, Mengyan Huang, Zhaohui Yang, Quoc-Viet Pham
2024 — conf
Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units.
PEARC
Hieu Le, Zhenhua He, Mai Le, Dhruva Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, Jiefu Chen
2024 J jnl
Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units.
CoRR
Hieu Le, Zhenhua He, Mai Le, Dhruva K. Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, Jiefu Chen
2024 J jnl
Resource Allocation in THz-NOMA-Enabled HAP Systems: A Deep Reinforcement Learning Approach.
IEEE Trans. Consumer Electron.
Mai Le, Quoc-Viet Pham, Quang Vinh Do, Zhu Han, Won-Joo Hwang
2024 J jnl
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation.
IEEE Internet Things J.
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Won-Joo Hwang
2023 J jnl
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey.
CoRR
Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham
2023 J jnl
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation.
CoRR
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham
2022 J jnl
Aerial Computing: A New Computing Paradigm, Applications, and Challenges.
CoRR
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
2022 J jnl
Aerial Computing: A New Computing Paradigm, Applications, and Challenges.
IEEE Internet Things J.
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
2022 J jnl
Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications.
IEEE Trans. Veh. Technol.
Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang
2022 J jnl
Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum.
IEEE Syst. J.
Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang
2022 — conf
UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning.
ICC
Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang
2020 J jnl
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art.
IEEE Access
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2019 J jnl
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art.
CoRR
Quoc-Viet Pham, Fang Fang, Ha-Nguyen Vu, Mai Le, Zhiguo Ding, Long Bao Le, Won-Joo Hwang
2017 J jnl
A hybrid model for business process event and outcome prediction.
Expert Syst. J. Knowl. Eng.
Mai Le, Bogdan Gabrys, Detlef D. Nauck
2017 J jnl
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers.
IEEE Trans. Computational Imaging
Mai Le, Jeffrey A. Fessler
2014 — conf
Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction.
IPMU (1)
Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
2013 — conf
KNNs and Sequence Alignment for Churn Prediction.
SGAI Conf.
Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
2013 — conf
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning.
SIMPDA
Mai Le, Detlef D. Nauck, Bogdan Gabrys
2012 — conf
A Hybrid Model for Business Process Event Prediction.
SGAI Conf.
Mai Le, Bogdan Gabrys, Detlef D. Nauck