| Deep reinforcement learning for multi-user access control in non-terrestrial networks Y Cao, SY Lien, YC Liang IEEE Transactions on Communications 69 (3), 1605-1619, 2020 | 77 | 2020 |
| User access control in open radio access networks: A federated deep reinforcement learning approach Y Cao, SY Lien, YC Liang, KC Chen, X Shen IEEE Transactions on Wireless Communications 21 (6), 3721-3736, 2021 | 66 | 2021 |
| Federated deep reinforcement learning for user access control in open radio access networks Y Cao, SY Lien, YC Liang, KC Chen ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 44 | 2021 |
| Deep reinforcement learning for channel and power allocation in UAV-enabled IoT systems Y Cao, L Zhang, YC Liang 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 39 | 2019 |
| Deep reinforcement learning for multi-user access control in UAV networks Y Cao, L Zhang, YC Liang ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 27 | 2019 |
| Deep learning-empowered semantic communication systems with a shared knowledge base P Yi, Y Cao, X Kang, YC Liang IEEE Transactions on Wireless Communications, 2023 | 12 | 2023 |
| Deep reinforcement learning for user access control in UAV networks Y Cao, L Zhang, YC Liang 2018 IEEE International Conference on Communication Systems (ICCS), 297-302, 2018 | 11 | 2018 |
| Multi-tier collaborative deep reinforcement learning for non-terrestrial network empowered vehicular connections Y Cao, SY Lien, YC Liang 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-6, 2021 | 10 | 2021 |
| Semantic communication for remote spectrum sensing in non-terrestrial networks P Yi, Y Cao, J Xu, YC Liang 2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022 | 5 | 2022 |
| Integrated distributed semantic communication and over-the-air computation for cooperative spectrum sensing P Yi, Y Cao, X Kang, YC Liang IEEE Transactions on Communications, 2024 | 4 | 2024 |
| Collaborative computing in non-terrestrial networks: A multi-time-scale deep reinforcement learning approach Y Cao, SY Lien, YC Liang, D Niyato, X Shen IEEE Transactions on Wireless Communications, 2023 | 4 | 2023 |
| Semantic communication systems with a shared knowledge base P Yi, Y Cao, X Kang, YC Liang 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | 3 | 2023 |
| Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks Y Cao, SY Lien, YC Liang, D Niyato, XS Shen 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 2 | 2023 |
| Learning-Based Multitier Split Computing for Efficient Convergence of Communication and Computation Y Cao, SY Lien, CH Yeh, DJ Deng, YC Liang, D Niyato IEEE Internet of Things Journal, 2024 | 1 | 2024 |
| Toward Intelligent Non-Terrestrial Networks through Symbiotic Radio: A Collaborative Deep Reinforcement Learning Scheme Y Cao, SY Lien, YC Liang, D Niyato IEEE Network, 2024 | 1 | 2024 |
| Multi-Tier Deep Reinforcement Learning for Non-Terrestrial Networks Y Cao, SY Lien, YC Liang, D Niyato IEEE Wireless Communications, 2024 | 1 | 2024 |
| Efficient Communication-Computation Tradeoff for Split Computing: A Multi-Tier Deep Reinforcement Learning Approach Y Cao, SY Lien, CH Yeh, YC Liang, D Niyato GLOBECOM 2023-2023 IEEE Global Communications Conference, 1-6, 2023 | 1 | 2023 |
Ying-Chang LiangIEEE Fellow & Highly Cited ResearcherVerified email at ieee.org
