A Hybrid Model for Business Process Event Prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (SGAI Conf., 2012)

KNNs and Sequence Alignment for Churn Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (SGAI Conf., 2013)

Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. - Mai Le; Detlef D. Nauck; Bogdan Gabrys (SIMPDA, 2013)

Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (IPMU (1), 2014)

A hybrid model for business process event and outcome prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (Expert Syst. J. Knowl. Eng., 2017)

Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers. - Mai Le; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2017)

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art. - Quoc-Viet Pham; Fang Fang 005; Ha-Nguyen Vu; Mai Le; Zhiguo Ding 001; Long Bao Le; Won-Joo Hwang (CoRR, 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 005; Vu Nguyen Ha; Md. Jalil Piran; Mai Le; Long Bao Le; Won-Joo Hwang; Zhiguo Ding 001 (IEEE Access, 2020)

UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning. - Quoc-Viet Pham; Mai Le; Thien Huynh-The; Zhu Han 001; Won-Joo Hwang (ICC, 2022)

Aerial Computing: A New Computing Paradigm, Applications, and Challenges. - Quoc-Viet Pham; Rukhsana Ruby; Fang Fang 005; Dinh C. Nguyen; Zhaohui Yang 001; Mai Le; Zhiguo Ding 001; Won-Joo Hwang (IEEE Internet Things J., 2022)

Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum. - Mai Le; Quoc-Viet Pham; Hee-Cheol Kim 001; Won-Joo Hwang (IEEE Syst. J., 2022)

Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications. - Quoc-Viet Pham; Mai Le; Thien Huynh-The; Zhu Han 001; Won-Joo Hwang (IEEE Trans. Veh. Technol., 2022)

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)

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., 2024)

Resource Allocation in THz-NOMA-Enabled HAP Systems: A Deep Reinforcement Learning Approach. - Mai Le; Quoc-Viet Pham; Quang Vinh Do 001; Zhu Han 001; Won-Joo Hwang (IEEE Trans. Consumer Electron., 2024)

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 (IEEE Commun. Surv. Tutorials, 2025)