| Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications X Li, L Lu, W Ni, A Jamalipour, D Zhang, H Du IEEE Transactions on Vehicular Technology 71 (8), 8810-8824, 2022 | 94 | 2022 |
| Adaptive method for packet loss types in IoT: an naive Bayes distinguisher Y Chen, L Lu, X Yu, X Li Electronics 8 (2), 134, 2019 | 23 | 2019 |
| A3C-based load-balancing solution for computation offloading in SDN-enabled vehicular edge computing networks L Lu, J Yu, H Du, X Li Peer-to-Peer Networking and Applications 16 (2), 1242-1256, 2023 | 7 | 2023 |
| Cooperative Computation Offloading and Resource Management for Vehicle Platoon: A Deep Reinforcement Learning Approach L Lu, X Li, J Sun, Z Yang 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | 4 | 2022 |
| Multiband Cooperative Spectrum Sensing Meets Vehicular Network: Relying on CNN‐LSTM Approach L Lu, X Li, G Wang, W Ni Wireless Communications and Mobile Computing 2023 (1), 4352786, 2023 | 2 | 2023 |
