Tailin Zhou

14 papers B 1Misc 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated Prompt-Based Decision Transformer for Resource Allocation of Customized VR Streaming in Mobile Edge Computing.
IEEE Trans. Wirel. Commun.
Tailin Zhou, Jiadong Yu, Jun Zhang, Danny H. K. Tsang
2025 J jnl
Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization.
CoRR
Tailin Zhou, Zhilin Chen, Wenlong Lyu, Zhitang Chen, Danny H. K. Tsang, Jun Zhang
2024 J jnl
Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality.
IEEE Trans. Wirel. Commun.
Jiadong Yu, Ahmad Yousef Alhilal, Tailin Zhou, Pan Hui, Danny H. K. Tsang
2024 J jnl
FedFA: Federated Learning With Feature Anchors to Align Features and Classifiers for Heterogeneous Data.
IEEE Trans. Mob. Comput.
Tailin Zhou, Jun Zhang, Danny H. K. Tsang
2024 J jnl
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System.
CoRR
Tailin Zhou, Jiadong Yu, Jun Zhang, Danny H. K. Tsang
2024 J jnl
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data.
IEEE Trans. Mob. Comput.
Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang
2023 J jnl
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency.
CoRR
Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang
2023 J jnl
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality.
CoRR
Jiadong Yu, Ahmad Alhilal, Tailin Zhou, Pan Hui, Danny H. K. Tsang
2023 J jnl
Mode Connectivity and Data Heterogeneity of Federated Learning.
CoRR
Tailin Zhou, Jun Zhang, Danny H. K. Tsang
2023 Misc conf
Mode Connectivity in Federated Learning with Data Heterogeneity.
ACSSC
Tailin Zhou, Jun Zhang, Danny H. K. Tsang
2023 B conf
QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC.
GLOBECOM
Jiadong Yu, Ahmad Alhilal, Tailin Zhou, Pan Hui, Danny H. K. Tsang
2023 J jnl
Understanding Model Averaging in Federated Learning on Heterogeneous Data.
CoRR
Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang
2022 J jnl
FedFA: Federated Learning with Feature Anchors to Align Feature and Classifier for Heterogeneous Data.
CoRR
Tailin Zhou, Jun Zhang, Danny H. K. Tsang
2021 J jnl
Real-Time Detection of Cyber-Physical False Data Injection Attacks on Power Systems.
IEEE Trans. Ind. Informatics
Tailin Zhou, Kaishun Xiahou, Luliang Zhang, Qinghua Wu