Mai Le

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Event Sequences

Outcome Prediction

Computing Paradigms

Resource Allocation

Top Venues

Expert Syst. J. Knowl. Eng.

IEEE Internet Things J.

Publications

Hieu Le, Zhenhua He, Mai Le, Dhruva K. Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, Jiefu Chen
Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units. CoRR (2024)
Hieu Le, Zhenhua He, Mai Le, Dhruva Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, Jiefu Chen
Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units. PEARC (2024)
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation. CoRR (2023)
Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey. CoRR (2023)
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
Aerial Computing: A New Computing Paradigm, Applications, and Challenges. IEEE Internet Things J. 9 (11) (2022)
Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang
Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum. IEEE Syst. J. 16 (2) (2022)
Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang
UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning. ICC (2022)
Quoc-Viet Pham, Mai Le, Thien Huynh-The, Zhu Han, Won-Joo Hwang
Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications. IEEE Trans. Veh. Technol. 71 (5) (2022)
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang, Dinh C. Nguyen, Zhaohui Yang, Mai Le, Zhiguo Ding, Won-Joo Hwang
Aerial Computing: A New Computing Paradigm, Applications, and Challenges. CoRR (2022)
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art. IEEE Access 8 (2020)
Quoc-Viet Pham, Fang Fang, Ha-Nguyen Vu, Mai Le, Zhiguo Ding, Long Bao Le, Won-Joo Hwang
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art. CoRR (2019)
Mai Le, Jeffrey A. Fessler
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers. IEEE Trans. Computational Imaging 3 (1) (2017)
Mai Le, Bogdan Gabrys, Detlef D. Nauck
A hybrid model for business process event and outcome prediction. Expert Syst. J. Knowl. Eng. 34 (5) (2017)
Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. IPMU (1) (2014)
Mai Le, Detlef D. Nauck, Bogdan Gabrys
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. SIMPDA (2013)
Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin
KNNs and Sequence Alignment for Churn Prediction. SGAI Conf. (2013)
Mai Le, Bogdan Gabrys, Detlef D. Nauck
A Hybrid Model for Business Process Event Prediction. SGAI Conf. (2012)