| Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization H Du*, R Zhang*, Y Liu, J Wang, Y Lin, Z Li, D Niyato, J Kang, Z Xiong, ... IEEE Communications Surveys & Tutorials, 2024 | 264* | 2024 |
| Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach R Zhang, K Xiong, Y Lu, P Fan, DWK Ng, KB Letaief IEEE Journal on Selected Areas in Communications 41 (5), 1413-1430, 2023 | 239 | 2023 |
| Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission R Zhang, H Du, Y Liu, D Niyato, J Kang, Z Xiong, A Jamalipour, DI Kim IEEE Journal on Selected Areas in Communications, 2024 | 145 | 2024 |
| Exploring collaborative distributed diffusion-based AI-generated content (AIGC) in wireless networks H Du, R Zhang, D Niyato, J Kang, Z Xiong, DI Kim, X Shen, HV Poor Ieee network 38 (3), 178-186, 2023 | 137 | 2023 |
| Generative AI-enabled vehicular networks: Fundamentals, framework, and case study R Zhang, K Xiong, H Du, D Niyato, J Kang, X Shen, HV Poor IEEE Network 38 (4), 259-267, 2024 | 134 | 2024 |
| Interactive AI with Retrieval-Augmented Generation for Next Generation Networking R Zhang, H Du, Y Liu, D Niyato, J Kang, S Sun, X Shen, HV Poor IEEE Network, 2024 | 120 | 2024 |
| Joint coordinated beamforming and power splitting ratio optimization in MU-MISO SWIPT-enabled HetNets: A multi-agent DDQN-based approach R Zhang, K Xiong, Y Lu, B Gao, P Fan, KB Letaief IEEE Journal on Selected Areas in Communications 40 (2), 677-693, 2022 | 107 | 2022 |
| Generative AI for Space-Air-Ground Integrated Networks R Zhang, H Du, D Niyato, J Kang, Z Xiong, A Jamalipour, P Zhang, DI Kim IEEE Wireless Communications, 2024 | 101* | 2024 |
| Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services H Du, R Zhang, D Niyato, J Kang, Z Xiong, S Cui, X Shen, DI Kim IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 50* | 2025 |
| Deep reinforcement learning for secrecy energy efficiency maximization in RIS-assisted networks Y Zhang, Y Lu, R Zhang, B Ai, D Niyato IEEE Transactions on Vehicular Technology 72 (9), 12413-12418, 2023 | 49 | 2023 |
| Deep learning for energy efficient beamforming in MU-MISO networks: A GAT-based approach Y Li, Y Lu, R Zhang, B Ai, Z Zhong IEEE Wireless Communications Letters 12 (7), 1264-1268, 2023 | 47 | 2023 |
| SWIPT-enabled cell-free massive MIMO-NOMA networks: A machine learning-based approach R Zhang, K Xiong, Y Lu, DWK Ng, P Fan, KB Letaief IEEE Transactions on Wireless Communications 23 (7), 6701-6718, 2023 | 44 | 2023 |
| Deep reinforcement learning for energy efficiency maximization in RSMA-IRS-assisted ISAC system Z Ma, R Zhang, B Ai, Z Lian, L Zeng, D Niyato, Y Peng IEEE Transactions on Vehicular Technology, 2025 | 40 | 2025 |
| Toward democratized generative AI in next-generation mobile edge networks R Zhang, J He, X Luo, D Niyato, J Kang, Z Xiong, Y Li, B Sikdar IEEE Network, 2025 | 38 | 2025 |
| Generative AI-enabled wireless communications for robust low-altitude economy networking C Zhao, J Wang, R Zhang, D Niyato, G Sun, H Du, DI Kim, A Jamalipour arXiv preprint arXiv:2502.18118, 2025 | 35 | 2025 |
| Q-learning-based adaptive power control in wireless RF energy harvesting heterogeneous networks R Zhang, K Xiong, W Guo, X Yang, P Fan, KB Letaief IEEE Systems Journal 15 (2), 1861-1872, 2020 | 33 | 2020 |
| Generative AI for low-carbon artificial intelligence of things with large language models J Wen, R Zhang, D Niyato, J Kang, H Du, Y Zhang, Z Han IEEE Internet of Things Magazine 8 (1), 82-91, 2024 | 31* | 2024 |
| Graph neural networks for wireless networks: Graph representation, architecture and evaluation Y Lu, Y Li, R Zhang, W Chen, B Ai, D Niyato IEEE Wireless Communications, 2024 | 30 | 2024 |
| Embodied AI-enhanced vehicular networks: An integrated vision language models and reinforcement learning method R Zhang, C Zhao, H Du, D Niyato, J Wang, S Sawadsitang, X Shen, ... IEEE Transactions on Mobile Computing, 2025 | 29* | 2025 |
| An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic … R Zhang, Z Xu, X Gou Applied intelligence 51 (2), 713-735, 2021 | 28 | 2021 |
Dusit (Tao) NiyatoNanyang Technological University (NTU)Verified email at ntu.edu.sg
