Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. - Terence Jie Chua; Wenhan Yu; Chang Liu 093; Jun Zhao 007 (BDCAT, 2022)

Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (WF-IoT, 2022)

Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (CoRR, 2022)

Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches. - Wenhan Yu; Jun Zhao 007 (GLOBECOM, 2023)

Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (ICC, 2023)

Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (ICC, 2023)

Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions. - Wenhan Yu; Jun Zhao 007 (ICCA, 2023)

Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks. - Wenhan Yu; Jun Zhao 007 (ICDCS, 2023)

Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (INFOCOM Workshops, 2023)

Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (VTC2023-Spring, 2023)

UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach. - Peiyuan Si; Wenhan Yu; Jun Zhao 007; Kwok-Yan Lam; Qing Yang (CoRR, 2023)

User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (CoRR, 2023)

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (CoRR, 2023)

Semantic communications, semantic edge computing, and semantic caching. - Wenhan Yu; Jun Zhao 007 (CoRR, 2023)

FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007; Kwok-Yan Lam (CoRR, 2023)

Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (CoRR, 2023)

Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse Over Wireless Communications. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (IEEE J. Sel. Areas Commun., 2023)

Counterfactual Reward Estimation for Credit Assignment in Multi-agent Deep Reinforcement Learning over Wireless Video Transmission. - Wenhan Yu; Liangxin Qian; Terence Jie Chua; Jun Zhao 007 (ICDCS, 2024)

Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach. - Wenhan Yu; Terence Jie Chua; Jun Zhao 007 (VTC Spring, 2024)

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. - Guanhua Chen; Wenhan Yu; Lei Sha (CoRR, 2024)

PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models. - Yang Li 187; Wenhan Yu; Jun Zhao 007 (CoRR, 2024)

Applications of Inequalities to Optimization in Communication Networking: Novel Decoupling Techniques and Bounds for Multiplicative Terms Through Successive Convex Approximation. - Liangxin Qian; Wenhan Yu; Peiyuan Si; Jun Zhao 007 (CoRR, 2024)

Human-Centric Resource Allocation in the Metaverse Over Wireless Communications. - Jun Zhao 007; Liangxin Qian; Wenhan Yu (IEEE J. Sel. Areas Commun., 2024)

Play to Earn in Augmented Reality With Mobile Edge Computing Over Wireless Networks: A Deep Reinforcement Learning Approach. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (IEEE Trans. Wirel. Commun., 2025)

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning. - Peizhuang Cong; Wenpu Liu; Wenhan Yu; Haochen Zhao; Tong Yang 003 (CoRR, 2025)

Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse: A Deep Reinforcement Learning Approach. - Terence Jie Chua; Wenhan Yu; Jun Zhao 007 (IEEE Trans. Wirel. Commun., 2025)