| Resource allocation for mobile metaverse with the Internet of Vehicles over 6G wireless communications: A deep reinforcement learning approach TJ Chua, W Yu, J Zhao 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), 1-7, 2022 | 16 | 2022 |
| Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications W Yu, TJ Chua, J Zhao IEEE Journal on Selected Areas in Communications (JSAC), 2023., 2023 | 15 | 2023 |
| User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks W Yu, TJ Chua, J Zhao IEEE Transactions on Wireless Communications (TWC), 2023 | 12 | 2023 |
| Human-centric resource allocation in the metaverse over wireless communications J Zhao, L Qian, W Yu IEEE Journal on Selected Areas in Communications, 2023 | 5 | 2023 |
| Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning W Yu, TJ Chua, J Zhao IEEE International Conference on Communications (ICC), 2023., 2023 | 4 | 2023 |
| Multi-agent deep reinforcement learning for digital twin over 6G wireless communication in the metaverse W Yu, TC Jie, J Zhao IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | 3 | 2023 |
| Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning TJ Chua, W Yu, J Zhao IEEE International Conference on Communications (ICC), 2023., 2023 | 2 | 2023 |
| UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach P Si, W Yu, J Zhao, KY Lam, Q Yang arXiv preprint arXiv:2301.01474, 2023 | 2 | 2023 |
| Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing TJ Chua, W Yu, J Zhao arXiv preprint arXiv:2212.09295, 2022 | 2 | 2022 |
| Play to earn in the Metaverse over wireless networks with deep reinforcement learning TJ Chua, W Yu, J Zhao | 2* | |
| Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach W Yu, TJ Chua, J Zhao arXiv preprint arXiv:2310.17492, 2023 | 1 | 2023 |
| FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing TJ Chua, W Yu, J Zhao, KY Lam arXiv preprint arXiv:2310.17491, 2023 | 1 | 2023 |
| Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches W Yu, J Zhao IEEE Global Communications Conference (GLOBECOM) 2023, 2023 | 1 | 2023 |
| Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse: A Deep Reinforcement Learning Approach TJ Chua, W Yu, J Zhao IEEE Transactions on Wireless Communications (TWC), 2023 | 1 | 2023 |
| Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions J Zhao, W Yu Authorea Preprints, 2023 | | 2023 |
| Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions W Yu, J Zhao 2023 International Conference on Computer and Applications (ICCA), 1-7, 2023 | | 2023 |
| Semantic communications, semantic edge computing, and semantic caching with applications to the Metaverse and 6G mobile networks W Yu, J Zhao 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | | 2023 |
| Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach W Yu, TJ Chua, J Zhao 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | | 2023 |
| Semantic communications, semantic edge computing, and semantic caching W Yu, J Zhao arXiv preprint arXiv:2304.08096, 2023 | | 2023 |
| Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach TJ Chua, W Yu, J Zhao arXiv preprint arXiv:2303.10289, 2023 | | 2023 |
