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ORCIDWenhan Yu
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2020 – today
- 2024
[j2]Jun Zhao
, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse Over Wireless Communications. IEEE J. Sel. Areas Commun. 42(3): 514-537 (2024)- [c11]Wenhan Yu, Liangxin Qian, Terence Jie Chua, Jun Zhao:
Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission. ICDCS 2024: 1177-1189 - [c10]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. VTC Spring 2024: 1-6 - [i16]Guanhua Chen, Wenhan Yu, Lei Sha:
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. CoRR abs/2404.12879 (2024) - 2023
- [j1]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse Over Wireless Communications. IEEE J. Sel. Areas Commun. 41(7): 2138-2157 (2023) - [c9]Wenhan Yu, Jun Zhao:
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. GLOBECOM 2023: 3336-3341 - [c8]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. ICC 2023: 316-322 - [c7]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning. ICC 2023: 6639-6644 - [c6]Wenhan Yu, Jun Zhao:
Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions. ICCA 2023: 1-7 - [c5]Wenhan Yu, Jun Zhao:
Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks. ICDCS 2023: 983-984 - [c4]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse. INFOCOM Workshops 2023: 1-6 - [c3]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. VTC2023-Spring 2023: 1-5 - [i15]Peiyuan Si, Wenhan Yu, Jun Zhao, Kwok-Yan Lam, Qing Yang:
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach. CoRR abs/2301.01474 (2023) - [i14]Wenhan Yu, Terence Jie Chua, Jun Zhao:
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. CoRR abs/2302.01471 (2023) - [i13]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning. CoRR abs/2303.04349 (2023) - [i12]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. CoRR abs/2303.10288 (2023) - [i11]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach. CoRR abs/2303.10289 (2023) - [i10]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. CoRR abs/2303.10291 (2023) - [i9]Jun Zhao, Liangxin Qian, Wenhan Yu:
Human-Centric Resource Allocation in the Metaverse over Wireless Communications. CoRR abs/2304.00355 (2023) - [i8]Wenhan Yu, Jun Zhao:
Semantic communications, semantic edge computing, and semantic caching. CoRR abs/2304.08096 (2023) - [i7]Wenhan Yu, Jun Zhao:
Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. CoRR abs/2308.04083 (2023) - [i6]Terence Jie Chua, Wenhan Yu, Jun Zhao, Kwok-Yan Lam:
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing. CoRR abs/2310.17491 (2023) - [i5]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. CoRR abs/2310.17492 (2023) - [i4]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. CoRR abs/2312.06293 (2023) - 2022
- [c2]Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao:
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. BDCAT 2022: 11-20 - [c1]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach. WF-IoT 2022: 1-7 - [i3]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach. CoRR abs/2209.13425 (2022) - [i2]Terence Jie Chua, Wenhan Yu, Jun Zhao:
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. CoRR abs/2212.09295 (2022) - [i1]Wenhan Yu, Terence Jie Chua, Jun Zhao:
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications. CoRR abs/2212.14749 (2022)
Coauthor Index
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