| Deep reinforcement learning for resource management in blockchain-enabled federated learning network NQ Hieu, TA Tran, CL Nguyen, D Niyato, DI Kim, E Elmroth IEEE Networking Letters 4 (3), 137-141, 2022 | 41* | 2022 |
| Optimal power allocation for rate splitting communications with deep reinforcement learning NQ Hieu, DT Hoang, D Niyato, DI Kim IEEE wireless communications letters 10 (12), 2820-2823, 2021 | 41 | 2021 |
| Transferable deep reinforcement learning framework for autonomous vehicles with joint radar-data communications NQ Hieu, DT Hoang, D Niyato, P Wang, DI Kim, C Yuen IEEE Transactions on Communications 70 (8), 5164-5180, 2022 | 28 | 2022 |
| iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles NQ Hieu, DT Hoang, NC Luong, D Niyato IEEE Wireless Communications Letters, 2020 | 20 | 2020 |
| Predictive maintenance model for IIoT-based manufacturing: A transferable deep reinforcement learning approach KSH Ong, W Wang, NQ Hieu, D Niyato, T Friedrichs IEEE Internet of Things Journal 9 (17), 15725-15741, 2022 | 16 | 2022 |
| Joint power allocation and rate control for rate splitting multiple access networks with covert communications NQ Hieu, DT Hoang, D Niyato, DN Nguyen, DI Kim, A Jamalipour IEEE Transactions on Communications, 2023 | 15 | 2023 |
| When virtual reality meets rate splitting multiple access: A joint communication and computation approach NQ Hieu, DN Nguyen, DT Hoang, E Dutkiewicz IEEE Journal on Selected Areas in Communications 41 (5), 1536-1548, 2023 | 15 | 2023 |
| Integrating trickle timing in software defined WSNs for energy efficiency NQ Hieu, NH Thanh, TT Huong, NQ Thu, H Van Quang 2018 IEEE Seventh International Conference on Communications and Electronics …, 2018 | 14 | 2018 |
| Adaptive task offloading in coded edge computing: A deep reinforcement learning approach N Van Tam, NQ Hieu, NTT Van, NC Luong, D Niyato, DI Kim IEEE Communications Letters 25 (12), 3878-3882, 2021 | 7 | 2021 |
| A human-centric metaverse enabled by brain-computer interface: A survey HY Zhu, NQ Hieu, DT Hoang, DN Nguyen, CT Lin IEEE Communications Surveys & Tutorials, 2024 | 4 | 2024 |
| Defeating eavesdroppers with ambient backscatter communications N Van Huynh, NQ Hieu, NH Chu, DN Nguyen, DT Hoang, E Dutkiewicz 2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2023 | 4* | 2023 |
| Enhancing Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface NQ Hieu, DT Hoang, DN Nguyen, VD Nguyen, Y Xiao, E Dutkiewicz arXiv preprint arXiv:2303.10577, 2023 | 1 | 2023 |
| Enabling Technologies for Web 3.0: A Comprehensive Survey MA Hassan, MB Jamshidi, BD Manh, NH Chu, CH Nguyen, NQ Hieu, ... arXiv preprint arXiv:2401.10901, 2023 | | 2023 |
| Toward BCI-Enabled Metaverse: A Joint Learning and Resource Allocation Approach NQ Hieu, DT Hoang, DN Nguyen, E Dutkiewicz GLOBECOM 2023-2023 IEEE Global Communications Conference, 3342-3348, 2023 | | 2023 |
| Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach NQ Hieu, DT Hoang, DN Nguyen, MA Alsheikh arXiv preprint arXiv:2310.20228, 2023 | | 2023 |
| A Unified Resource Allocation Framework for Virtual Reality Streaming over Wireless Networks NQ Hieu, NH Chu, DT Hoang, DN Nguyen, E Dutkiewicz ICC 2023-IEEE International Conference on Communications, 3042-3047, 2023 | | 2023 |
| A Low-Power, High Reliable Data Collection Scheme for Wireless Sensor Networks NQ Hieu, TT Huong, NT Hung, NQ Thu, NH Thanh 2019 International Conference on Advanced Technologies for Communications …, 2019 | | 2019 |
Dinh Thai HoangUniversity of Technology Sydney (UTS), AustraliaEmail confirmado em uts.edu.au
