Publications

Journal paper


preprint

  • Wenhan Yu, Jun Zhao. “QoE Optimization for Wireless Heterogeneous VR and Non-VR 360 Degree Videos: A Differentiated Reinforcement Learning Approach.”
    — IEEE Transactions on Wireless Communications (TWC), Major revision, 2023.
  • 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.”
    — IEEE Transactions on Wireless Communications (TWC), Major revision, 2023.
  • Peiyuan Si, Wenhan Yu, Jun Zhao, Kowk-Yan Lam. “Hybrid Convex Optimization and Reinforcement Learning (HCORL).”
    — IEEE Transactions on Communications (TCOM), Submitted, 2023.
  • Terence Jie Chua, Wenhan Yu, Jun Zhao. “Unified, User and Task Centered (UUT) Artificial Intelligence for Metaverse Edge Computing.
    — IEEE Vehicular Technology Magazine, Submitted, 2022.
  • Terence Jie Chua*, Wenhan Yu*, Jun Zhao. “FedPEAT: Convergence of 6G-enabled Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Foundation Models”
    — submit to Nature Scientific Reports, February, 2024. (* means equal contribution)

Conference paper


preprint