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 | 61 | 2022 |
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 | 60 | 2023 |
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 | 53* | 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 | 40 | 2023 |
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 | 29 | 2020 |
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, 713-735, 2021 | 24 | 2021 |
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, 2024 | 22 | 2024 |
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 | 15 | 2023 |
Inverse reinforcement learning meets power allocation in multi-user cellular networks R Zhang, K Xiong, X Tian, Y Lu, P Fan, KB Letaief IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 12 | 2022 |
5G-Enabled electricity Internet of things: the network architecture and key technologies K Xiong, RC Zhang, R Wang, GD Zhong, Y Zhang Electric power 54 (3), 99-108, 2021 | 12* | 2021 |
User-centric interactive AI for distributed diffusion model-based AI-generated content H Du, R Zhang, D Niyato, J Kang, Z Xiong, S Cui, X Shen, DI Kim arXiv preprint arXiv:2311.11094, 2023 | 11 | 2023 |
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 | 8 | 2023 |
STSM: spatio-temporal shift module for efficient action recognition Z Yang, G An, R Zhang Mathematics 10 (18), 3290, 2022 | 6 | 2022 |
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 | 5 | 2024 |
Generative AI for space-air-ground integrated networks (SAGIN) R Zhang, H Du, D Niyato, J Kang, Z Xiong, A Jamalipour, P Zhang, DI Kim arXiv preprint arXiv:2311.06523, 2023 | 5 | 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, 2023 | 4 | 2023 |
信息年龄受限下最小化无人机辅助无线供能网络的能耗: 一种基于 DQN 的方法 刘玲珊, 熊轲, 张煜, 张锐晨, 樊平毅 南京大学学报 (自然科学版) 57 (5), 847-856, 2021 | 4 | 2021 |
Sum rate maximization in muti-cell muti-user networks: An inverse reinforcement learning-based approach X Tian, K Xiong, R Zhang, P Fan, D Niyato, KB Letaief IEEE Wireless Communications Letters, 2023 | 3 | 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 arXiv preprint arXiv:2404.09134, 2024 | 2* | 2024 |
SRI3D: Two‐stream inflated 3D ConvNet based on sparse regularization for action recognition Z Yang, G An, R Zhang, Z Zheng, Q Ruan IET Image Processing 17 (5), 1438-1448, 2023 | 2 | 2023 |