| Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach Z Wei, B Li, R Zhang, X Cheng, L Yang IEEE Transactions on Mobile Computing 23 (3), 2107-2122, 2023 | 46 | 2023 |
| Contract-based charging protocol for electric vehicles with vehicular fog computing: An integrated charging and computing perspective Z Wei, B Li, R Zhang, X Cheng IEEE Internet of Things Journal 10 (9), 7667-7680, 2022 | 26 | 2022 |
| Hierarchical task offloading for vehicular fog computing based on multi-agent deep reinforcement learning Y Hou, Z Wei, R Zhang, X Cheng, L Yang IEEE Transactions on Wireless Communications, 2023 | 18 | 2023 |
| OCVC: An overlapping-enabled cooperative vehicular fog computing protocol Z Wei, B Li, R Zhang, X Cheng, L Yang IEEE Transactions on Mobile Computing 22 (12), 7406-7419, 2022 | 18 | 2022 |
| Dynamic many-to-many task offloading in vehicular fog computing: A multi-agent drl approach Z Wei, B Li, R Zhang, X Cheng, L Yang GLOBECOM 2022-2022 IEEE Global Communications Conference, 6301-6306, 2022 | 14 | 2022 |
| TBOMC: A task-block-based overlapping matching-coalition scheme for task offloading in vehicular fog computing Z Wei, B Li, R Zhang, X Cheng, L Yang IEEE Internet of Things Journal 10 (17), 15209-15222, 2023 | 7 | 2023 |
| OCVC: An overlapping-enabled cooperative computing protocol in vehicular fog computing Z Wei, B Li, R Zhang, X Cheng, L Yang 2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022 | 2 | 2022 |
| AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing Z Wei, C Huang, B Li, Y Zhao, X Cheng, L Yang, R Zhang arXiv preprint arXiv:2409.02518, 2024 | 1 | 2024 |
| Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving J Zhang, Z Wei, B Liu, X Wang, Y Yu, R Zhang IEEE Wireless Communications 31 (4), 40-47, 2024 | 1 | 2024 |
| Towards Ever-Evolution Network Threats: A Hierarchical Federated Class-Incremental Learning Approach for Network Intrusion Detection in IIoT J Mao, Z Wei, B Li, R Zhang, L Song IEEE Internet of Things Journal, 2024 | 1 | 2024 |
| Cross-regional task offloading with multi-agent reinforcement learning for hierarchical vehicular fog computing Y Hou, Z Wei, S Liu, B Li, R Zhang, X Cheng, L Yang 2023 IEEE Symposium on Computers and Communications (ISCC), 272-277, 2023 | 1 | 2023 |
| A Contract-Based Computing-Charging Protocol for Electric Vehicles with Vehicular Fog Computing Z Wei, B Li, R Zhang, X Cheng GLOBECOM 2022-2022 IEEE Global Communications Conference, 5868-5873, 2022 | 1 | 2022 |
| Learning-to-Adaptation for Security Service in Industrial IoT: An AI-Enabled Slice-Specific Solution Z Wei, B Li, R Zhang, L Song IEEE Transactions on Services Computing, 2024 | | 2024 |
| Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing Z Wei, J Mao, B Li, R Zhang IEEE Open Journal of the Communications Society, 2024 | | 2024 |
| Adaptive Security Service Provisioning for Industrial IoT: Harnessing Deep Reinforcement Learning Within a Slice-Specific Framework Z Wei, B Li, R Zhang, L Song ICC 2024-IEEE International Conference on Communications, 244-249, 2024 | | 2024 |
| 面向道路目标检测的多模态融合语义传输 朱增乐， 魏智伟， 张荣庆， 杨柳青 模式识别与人工智能, 1, 2023 | | 2023 |
