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2020 – today
- 2026
[j9]Minh Ngoc Luu
, Minh-Duong Nguyen, Ebrahim Bedeer, Van Duc Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham:
Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control. IEEE Trans. Mob. Comput. 25(1): 372-387 (2026)- [j8]Senura Hansaja Wanasekara, Van-Dinh Nguyen, Kok-Seng Wong, Minh-Duong Nguyen, Symeon Chatzinotas, Octavia A. Dobre:
SC-GIR: Goal-Oriented Semantic Communication via Invariant Representation Learning for Image Transmission. IEEE Trans. Mob. Comput. 25(2): 1483-1498 (2026) - [j7]Minh-Duong Nguyen, Hoang-Khoi Do, Nam-Khanh Le, Nguyen Hoang Tran, Zhaohui Yang, Van-Duc Nguyen, Trinh Van Chien:
Toward Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients. IEEE Trans. Netw. 34: 3210-3225 (2026) - [i15]Minh-Duong Nguyen, Senura Hansaja, Le-Tuan Nguyen, Quoc-Viet Pham, Ken-Tye Yong, Nguyen H. Tran, Dung D. Le:
Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression. CoRR abs/2603.13795 (2026) - [i14]Minh-Duong Nguyen, Thien-Thanh Dao, Le-Tuan Nguyen, Dung D. Le, Kok-Seng Wong:
Prototypical Exemplar Condensation for Memory-efficient Online Continual Learning. CoRR abs/2603.13804 (2026) - [i13]Senura Hansaja Wanasekara, Minh-Duong Nguyen, Xiaochen Liu, Nguyen H. Tran, Ken-Tye Yong:
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards. CoRR abs/2603.26378 (2026) - 2025
- [j6]Ryu Junewoo, Nguyen Xuan Tung, Minh-Duong Nguyen, Quang Do Vinh, Won-Joo Hwang:
Resource Allocation for Federated Learning With Highly Distorted Model. IEEE Access 13: 63108-63119 (2025) - [j5]Thai-Hoc Vu, Senthil Kumar Jagatheesaperumal, Minh-Duong Nguyen, Nguyen Van Huynh, Sunghwan Kim, Quoc-Viet Pham:
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey. IEEE Internet Things J. 12(2): 1266-1290 (2025) - [j4]Hoang Khoi Do, Minh-Duong Nguyen, Nguyen H. Tran, Viet Dung Nguyen:
PAT: Pixel-wise Adaptive Training for long-tailed segmentation. Pattern Recognit. Lett. 192: 43-50 (2025) - [j3]Hoang Khoi Do, Minh-Duong Nguyen, Nguyen Tien Hoa, Long Tran-Thanh, Nguyen Hoang Tran, Quoc-Viet Pham:
Revisiting LARS for Large Batch Training Generalization of Neural Networks. IEEE Trans. Artif. Intell. 6(5): 1321-1333 (2025) - [j2]Minh-Duong Nguyen, Quang Do Vinh, Zhaohui Yang, Quoc-Viet Pham, Won-Joo Hwang:
Distortion Resilience for Goal-Oriented Semantic Communication. IEEE Trans. Mob. Comput. 24(5): 3489-3501 (2025) - [i12]Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen:
Multi-Agent Collaboration Mechanisms: A Survey of LLMs. CoRR abs/2501.06322 (2025) - [i11]Trong-Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Quoc-Viet Pham, Won-Joo Hwang:
Federated Domain Generalization with Data-free On-server Gradient Matching. CoRR abs/2501.14653 (2025) - [i10]Minh-Duong Nguyen, Le-Tuan Nguyen, Quoc-Viet Pham:
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset. CoRR abs/2506.12031 (2025) - [i9]Minh-Duong Nguyen, Quoc-Viet Pham, Nguyen H. Tran, Hoang Khoi Do, Duy T. Ngo, Won-Joo Hwang:
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach. CoRR abs/2507.17784 (2025) - [i8]Duc-Thien Phan, Minh-Duong Nguyen, Quoc-Viet Pham, Huilong Pi:
Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning. CoRR abs/2509.05377 (2025) - [i7]Le-Tuan Nguyen, Minh-Duong Nguyen, Seon-Geun Jeong, Dung D. Le, Quoc-Viet Pham:
Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation. CoRR abs/2509.26399 (2025) - 2024
- [i6]Thai-Hoc Vu, Senthil Kumar Jagatheesaperumal, Minh-Duong Nguyen, Nguyen Van Huynh, Sunghwan Kim, Quoc-Viet Pham:
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey. CoRR abs/2405.20024 (2024) - 2023
- [j1]Minh-Duong Nguyen, Sang-Min Lee, Quoc-Viet Pham, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang:
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks. IEEE Trans. Mob. Comput. 22(11): 6495-6507 (2023) - [i5]Minh-Duong Nguyen, Quang Vinh Do, Zhaohui Yang, Quoc-Viet Pham, Won-Joo Hwang:
Joint Communication and Computation Framework for Goal-Oriented Semantic Communication with Distortion Rate Resilience. CoRR abs/2309.14587 (2023) - [i4]Minh Ngoc Luu, Minh-Duong Nguyen, Ebrahim Bedeer, Van Duc Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham:
Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing. CoRR abs/2310.07497 (2023) - 2022
- [i3]Minh-Duong Nguyen, Sang-Min Lee, Quoc-Viet Pham, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang:
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks. CoRR abs/2204.06760 (2022) - [i2]Xuan-Tung Nguyen, Minh-Duong Nguyen, Quoc-Viet Pham, Quang Do Vinh, Won-Joo Hwang:
Resource Allocation for Compression-aided Federated Learning with High Distortion Rate. CoRR abs/2206.06976 (2022) - [i1]Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen, Won-Joo Hwang:
Label driven Knowledge Distillation for Federated Learning with non-IID Data. CoRR abs/2209.14520 (2022)
2010 – 2019
- 2014
- [c1]Ngoc-Tu Chau, Minh-Duong Nguyen, Seung Wook Jung, Souhwan Jung:
SecaaS Framework and Architecture: A Design of Dynamic Packet Control. WISA 2014: 190-201
Coauthor Index
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