Wenhan Yu
Orcid: 0000-0001-6098-5073
According to our database1,
Wenhan Yu
authored at least 23 papers
between 2022 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE J. Sel. Areas Commun., March, 2024
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models.
CoRR, 2024
CoRR, 2024
Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse Over Wireless Communications.
IEEE J. Sel. Areas Commun., July, 2023
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach.
CoRR, 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing.
CoRR, 2023
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer.
CoRR, 2023
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach.
CoRR, 2023
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks.
CoRR, 2023
CoRR, 2023
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse.
Proceedings of the IEEE INFOCOM 2023, 2023
Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions.
Proceedings of the International Conference on Computer and Applications, 2023
Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches.
Proceedings of the IEEE Global Communications Conference, 2023
2022
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing.
CoRR, 2022
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022