Yuhang Wang

Orcid: 0000-0002-0873-2295

Affiliations:
  • Shenzhen University, Shenzhen, China


According to our database1, Yuhang Wang authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Intelligence-Based Reinforcement Learning for Dynamic Resource Optimization in Edge Computing-Enabled Vehicular Networks.
IEEE Trans. Mob. Comput., March, 2025

2024
Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., August, 2024

Intelligence-based Reinforcement Learning for Continuous Dynamic Resource Allocation in Vehicular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach.
IEEE Wirel. Commun., October, 2023

Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism.
IEEE Trans. Wirel. Commun., July, 2023

2022
Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks.
IEEE Trans. Veh. Technol., 2022

Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism.
IEEE Trans. Intell. Transp. Syst., 2022

$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2021

A Fast-adaptive Edge Resource Allocation Strategy for Dynamic Vehicular Networks.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021


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