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2020 – today
- 2024
[c6]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: 7:1-7:9- [i5]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 abs/2404.10730 (2024) - 2023
- [i4]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 abs/2308.04953 (2023) - [i3]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 abs/2310.10549 (2023) - 2022
- [j6]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): 8339-8363 (2022) - [j5]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): 2856-2866 (2022) - [j4]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): 4977-4990 (2022) - [c5]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: 1-6 - [i2]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 abs/2204.02005 (2022) - 2020
- [j3]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: 116974-117017 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1906.08452 (2019) - 2017
- [j2]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) - [j1]Mai Le, Jeffrey A. Fessler:
Efficient, Convergent SENSE MRI Reconstruction for Nonperiodic Boundary Conditions via Tridiagonal Solvers. IEEE Trans. Computational Imaging 3(1): 11-21 (2017) - 2014
- [c4]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: 168-178 - 2013
- [c3]Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin:
KNNs and Sequence Alignment for Churn Prediction. SGAI Conf. 2013: 279-285 - [c2]Mai Le, Detlef D. Nauck, Bogdan Gabrys:
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. SIMPDA 2013: 1-15 - 2012
- [c1]Mai Le, Bogdan Gabrys, Detlef D. Nauck:
A Hybrid Model for Business Process Event Prediction. SGAI Conf. 2012: 179-192
Coauthor Index
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