Real-Time Detection of Cyber-Physical False Data Injection Attacks on Power Systems. - Tailin Zhou; Kaishun Xiahou; Luliang Zhang; Qinghua Wu 003 (IEEE Trans. Ind. Informatics, 2021)

FedFA: Federated Learning with Feature Anchors to Align Feature and Classifier for Heterogeneous Data. - Tailin Zhou; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2022)

Mode Connectivity in Federated Learning with Data Heterogeneity. - Tailin Zhou; Jun Zhang 004; Danny H. K. Tsang (ACSSC, 2023)

QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC. - Jiadong Yu; Ahmad Alhilal; Tailin Zhou; Pan Hui 001; Danny H. K. Tsang (GLOBECOM, 2023)

Understanding Model Averaging in Federated Learning on Heterogeneous Data. - Tailin Zhou; Zehong Lin; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2023)

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. - Jiawei Shao; Zijian Li 023; Wenqiang Sun; Tailin Zhou; Yuchang Sun 001; Lumin Liu; Zehong Lin; Jun Zhang 004 (CoRR, 2023)

Mode Connectivity and Data Heterogeneity of Federated Learning. - Tailin Zhou; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2023)

Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System. - Tailin Zhou; Jiadong Yu; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2024)

FedFA: Federated Learning With Feature Anchors to Align Features and Classifiers for Heterogeneous Data. - Tailin Zhou; Jun Zhang 004; Danny H. K. Tsang (IEEE Trans. Mob. Comput., 2024)

Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality. - Jiadong Yu; Ahmad Yousef Alhilal; Tailin Zhou; Pan Hui 001; Danny H. K. Tsang (IEEE Trans. Wirel. Commun., 2024)

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data. - Tailin Zhou; Zehong Lin; Jun Zhang 004; Danny H. K. Tsang (IEEE Trans. Mob. Comput., 2024)

Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization. - Tailin Zhou; Zhilin Chen; Wenlong Lyu; Zhitang Chen; Danny H. K. Tsang; Jun Zhang 004 (CoRR, 2025)