Federated Multi-Task Learning with Non-Stationary Heterogeneous Data. - Hongwei Zhang 006; Meixia Tao; Yuanming Shi; Xiaoyan Bi (ICC, 2022)

A Wyner-Ziv Coding-Based Semantic Communication Approach with a Shared Semantic Codebook. - Hongwei Zhang 006; Meixia Tao; Shuo Shao 001 (GLOBECOM (Workshops), 2023)

Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data. - Hongwei Zhang 006; Shuo Shao 001; Meixia Tao; Xiaoyan Bi; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2023)

Federated Multi-Task Learning with Non-Stationary and Heterogeneous Data in Wireless Networks. - Hongwei Zhang 006; Meixia Tao; Yuanming Shi; Xiaoyan Bi; Khaled B. Letaief (IEEE Trans. Wirel. Commun., 2024)

Improving Learning-Based Semantic Coding Efficiency for Image Transmission via Shared Semantic-Aware Codebook. - Hongwei Zhang 006; Meixia Tao; Yaping Sun; Khaled B. Letaief (IEEE Trans. Commun., 2025)

SNR-EQ-JSCC: Joint Source-Channel Coding With SNR-Based Embedding and Query. - Hongwei Zhang 006; Meixia Tao (IEEE Wirel. Commun. Lett., 2025)