| Power optimization in device-to-device communications: A deep reinforcement learning approach with dynamic reward Z Ji, AK Kiani, Z Qin, R Ahmad IEEE Wireless Communications Letters 10 (3), 508-511, 2020 | 32 | 2020 |
| Reconfigurable intelligent surface aided cellular networks with device-to-device users Z Ji, Z Qin, CG Parini IEEE Transactions on Communications 70 (3), 1808-1819, 2022 | 22* | 2022 |
| Joint mode selection and power adaptation for D2D communication with reinforcement learning Y Qiu, Z Ji, Y Zhu, G Meng, G Xie 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2018 | 21 | 2018 |
| Reconfigurable intelligent surface enhanced device-to-device communications Z Ji, Z Qin GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 18 | 2020 |
| Federated learning for distributed energy-efficient resource allocation Z Ji, Z Qin ICC 2022-IEEE International Conference on Communications, 1-6, 2022 | 9 | 2022 |
| Energy-efficient task offloading for semantic-aware networks Z Ji, Z Qin ICC 2023-IEEE International Conference on Communications, 3584-3589, 2023 | 5 | 2023 |
| Meta Federated Reinforcement Learning for Distributed Resource Allocation Z Ji, Z Qin, X Tao IEEE Transactions on Wireless Communications, 2023 | 2 | 2023 |
| Spectrum Sharing for Mobile Virtual Networks: A Game Theoretic Approach Y Zhu, G Meng, Y Qiu, Z Ji, G Xie, Y Song 2018 10th International Conference on Communication Software and Networks …, 2018 | 2 | 2018 |
| Resource Optimization for Semantic-Aware Networks with Task Offloading Z Ji, Z Qin, X Tao, Z Han IEEE Transactions on Wireless Communications, 2024 | 1 | 2024 |
| Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks Z Ji, Z Qin arXiv preprint arXiv:2402.18183, 2024 | | 2024 |
Zhijin QinTsinghua UniversityVerified email at tsinghua.edu.cn
