Blockchain-based edge computing resource allocation in IoT: A deep reinforcement learning approach Y He, Y Wang, C Qiu, Q Lin, J Li, Z Ming IEEE Internet of Things Journal 8 (4), 2226-2237, 2020 | 170 | 2020 |
Meta-hierarchical reinforcement learning (MHRL)-based dynamic resource allocation for dynamic vehicular networks Y He, Y Wang, Q Lin, J Li IEEE Transactions on Vehicular Technology 71 (4), 3495-3506, 2022 | 58 | 2022 |
Efficient resource allocation for multi-beam satellite-terrestrial vehicular networks: A multi-agent actor-critic method with attention mechanism Y He, Y Wang, FR Yu, Q Lin, J Li, VCM Leung IEEE Transactions on Intelligent Transportation Systems 23 (3), 2727-2738, 2021 | 40 | 2021 |
Efficient resource allocation in multi-UAV assisted vehicular networks with security constraint and attention mechanism Y Wang, Y He, FR Yu, Q Lin, VCM Leung IEEE Transactions on Wireless Communications 22 (7), 4802-4813, 2022 | 11 | 2022 |
Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach Y Ren, R Xie, FR Yu, R Zhang, Y Wang, Y He, T Huang IEEE Transactions on Intelligent Transportation Systems, 2024 | 10 | 2024 |
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach Y Wang, Y He, FR Yu, B Song, VCM Leung IEEE Wireless Communications 30 (5), 152-159, 2023 | 4 | 2023 |
Resource allocation in vehicular networks with multi-uav served edge computing Y Wang, Y He, M Dong 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-6, 2021 | 3 | 2021 |
: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing S Zhuang, C Gao, Y He, FR Yu, Y Wang, W Pan, Z Ming 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
A fast-adaptive edge resource allocation strategy for dynamic vehicular networks Y He, Y Wang, Q Lin, J Li, VC Leung 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-6, 2021 | 2 | 2021 |
Intelligence-Based Reinforcement Learning for Dynamic Resource Optimization in Edge Computing-Enabled Vehicular Networks Y Wang, Y He, FR Yu, K Wu, S Chen IEEE Transactions on Mobile Computing, 2024 | | 2024 |
Intelligence-based Reinforcement Learning for Continuous Dynamic Resource Allocation in Vehicular Networks Y Wang, Y He, FR Yu, K Wu 2024 IEEE Wireless Communications and Networking Conference (WCNC), 01-06, 2024 | | 2024 |