Terence Jie Chua

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 22

Top Topics

Ridge Detection

Reinforcement Learning

Wireless Communication

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Chang Liu, Terence Jie Chua, Jun Zhao
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn. INFOCOM (2024)
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 (2023)
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)
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 (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. CoRR (2023)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. CoRR (2023)
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) (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning. CoRR (2023)
Chang Liu, Terence Jie Chua, Jun Zhao
Optimization for the Metaverse over Mobile Edge Computing with Play to Earn. CoRR (2023)
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)
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 (2023)
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 (2023)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. CoRR (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning. ICC (2023)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. ICC (2023)
Terence Jie Chua, Wenhan Yu, Chang Liu, Jun Zhao
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer. BDCAT (2022)
Wenhan Yu, Terence Jie Chua, Jun Zhao
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications. CoRR (2022)
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 (2022)
Chang Liu, Terence Jie Chua, Jun Zhao
Time Minimization in Hierarchical Federated Learning. CoRR (2022)
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)
Chang Liu, Terence Jie Chua, Jun Zhao
Time Minimization in Hierarchical Federated Learning. SEC (2022)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. CoRR (2022)