Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks. - Nang Hung Nguyen; Phi Le Nguyen; Hieu Dinh; Thanh-Hung Nguyen; Kien Nguyen 002 (EUC, 2021)

QIH: An Efficient Q-Learning Inspired Hole-Bypassing Routing Protocol for WSNs. - Phi Le Nguyen; Nang Hung Nguyen; Tuan Anh Nguyen Dinh; Khanh Le; Thanh-Hung Nguyen; Kien Nguyen 002 (IEEE Access, 2021)

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. - Nang Hung Nguyen; Phi Le Nguyen; Thuy Dung Nguyen; Trung Thanh Nguyen; Duc Long Nguyen; Thanh Hung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen (ICPP, 2022)

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks. - Hieu Dinh; Nang Hung Nguyen; Trung Thanh Nguyen; Thanh-Hung Nguyen; Truong Thao Nguyen; Phi Le Nguyen (WCNC, 2022)

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. - Nang Hung Nguyen; Phi Le Nguyen; Duc Long Nguyen; Trung Thanh Nguyen; Thuy Dung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen (CoRR, 2022)

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. - Quang-Ha Pham; Nang Hung Nguyen; Thanh Hung Nguyen; Huy Hieu Pham 001; Phi Le Nguyen; Truong Thao Nguyen (candar, 2023)

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. - Nang Hung Nguyen; Duc Long Nguyen; Trong Bang Nguyen; Thanh-Hung Nguyen; Huy Hieu Pham 001; Truong Thao Nguyen; Phi Le Nguyen (CCGrid, 2023)

SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning. - Nang Hung Nguyen; Truong Thao Nguyen; Trong Nghia Hoang; Hieu H. Pham 001; Thanh Hung Nguyen; Phi Le Nguyen (IEEE Trans. Computers, 2025)