Mai Le

According to our database, Mai Le authored at least 15 papers between 2012 and 2024.

Collaborative distances:

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

2024

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation.

Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Won-Joo Hwang

IEEE Internet Things J., November, 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

2023

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey.

Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham

CoRR, 2023

2022

Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications.

Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang

IEEE Trans. Veh. Technol., 2022

Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum.

Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang

IEEE Syst. J., 2022

Aerial Computing: A New Computing Paradigm, Applications, and Challenges.

Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang

IEEE Internet Things J., 2022

UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning.

Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang

Proceedings of the IEEE International Conference on Communications, 2022

2020

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art.

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding

IEEE Access, 2020

2019

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art.

Quoc-Viet Pham, Fang Fang, Ha-Nguyen Vu, Mai Le, Zhiguo Ding, Long Bao Le, Won-Joo Hwang

CoRR, 2019

2017

Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers.

Mai Le, Jeffrey A. Fessler

IEEE Trans. Computational Imaging, 2017

A hybrid model for business process event and outcome prediction.

Mai Le, Bogdan Gabrys, Detlef D. Nauck

Expert Syst. J. Knowl. Eng., 2017

2014

Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction.

Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013

Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning.

Mai Le, Detlef D. Nauck, Bogdan Gabrys

Proceedings of the 3rd International Symposium on Data-driven Process Discovery and Analysis, 2013

KNNs and Sequence Alignment for Churn Prediction.

Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin

Proceedings of the Research and Development in Intelligent Systems XXX, 2013

2012

A Hybrid Model for Business Process Event Prediction.

Mai Le, Bogdan Gabrys, Detlef D. Nauck

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012