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[1]TAO Meixia. Editorial Issue on 'Information Theoretic Foundations of Future Communication Systems' IEEE Journal on Selected Areas in Information Theory, 2022,
[2] Deep Learning for Hierarchical Beam Alignment in mmWave Communication Systems ICC 2022, 2022,
[3] Coded Over-the-Air Computation for Model Aggregation in Federated Learning IEEE Communications Letters, 2022,
[4] Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data IEEE Journal on Selected Areas in Communications, 2022,
[5] Clustered Federated Learning with Weighted Model Aggregation for Imbalanced Data CHINA COMMUNICATIONS, 2022,
[6] Ergodic Achievable Rate Maximization of RIS-assisted Millimeter-Wave MIMO-OFDM Communication Systems IEEE Transactions on Wireless Communications, 2022,
[7] Ergodic Achievable Rate Analysis and Optimization of RIS-assisted Millimeter-Wave MIMO Communication Systems IEEE Transactions on Wireless Communications, 2022,
[8] Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems WCSP 2022, 2022,
[9]TAO Meixia. Characteristics of Channel Eigenvalues and Mutual Coupling Effects for Holographic Reconfigurable Intelligent Surfaces SENSORS, 2022,
[10] ADMM-Based Fast Algorithm for Multi-Group Multicast Beamforming in Large-Scale Wireless Systems IEEE Transactions on Communications, 2017,
[11] Fundamental Storage-Latency Tradeoff in Cache-Aided MIMO Interference Networks IEEE Transactions on Wireless Communications, 2017,
[12]TAO Meixia. UAV-Assisted MEC Networks With Aerial and Ground Cooperation IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021,
[13] Double-Sided Information Aided Temporal-Correlated Massive Access IEEE Wireless Communications Letters, 2022,
[14] Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems IEEE Trans. on Communications, 2022,
[15] Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN IEEE Trans. on Wireless Communications, 2016,
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