Algorithms for comparison in residue number systems. - Hanshen Xiao; Yu Ye 001; Guoqiang Xiao 001; Qin Kang (APSIPA, 2016)

A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization. - Yu Ye 001; Hanshen Xiao; Guoqiang Xiao 001 (IEEE Signal Process. Lett., 2016)

Minimum cost based clustering scheme for cooperative wireless caching network with heterogeneous file preference. - Yu Ye 001; Zhengquan Zhang; Guang Yang 008; Ming Xiao 001 (ICC, 2017)

Robustness in Chinese Remainder Theorem. - Hanshen Xiao; Yufeng Huang; Yu Ye 001; Guoqiang Xiao 001 (CoRR, 2017)

Analysis on Consistency of Content Update in Cache-Enabled Heterogeneous Networks. - Yu Ye 001; Ming Xiao 001; Shahid Mumtaz; Jing Yue; Anwer Al-Dulaimi (GLOBECOM, 2018)

Performance analysis of mobility prediction based proactive wireless caching. - Yu Ye 001; Ming Xiao 001; Zhengquan Zhang; Zheng Ma 001 (WCNC, 2018)

Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding. - Hanshen Xiao; Yufeng Huang; Yu Ye 001; Guoqiang Xiao 001 (IEEE Trans. Signal Process., 2018)

Decentralized Multi-Task Learning Based on Extreme Learning Machines. - Yu Ye 001; Ming Xiao 001; Mikael Skoglund (CoRR, 2019)

Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization. - Yu Ye 001; Hao Chen 048; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (ISIT, 2020)

Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems. - Shaocheng Huang 001; Yu Ye 001; Ming Xiao 001 (CoRR, 2020)

Decentralized Consensus Optimization Based on Parallel Random Walk. - Yu Ye 001; Hao Chen 048; Zheng Ma 001; Ming Xiao 001 (IEEE Commun. Lett., 2020)

Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks. - Wanlu Lei; Yu Ye 001; Ming Xiao 001 (IEEE Trans. Cogn. Commun. Netw., 2020)

Mobility-Aware Content Preference Learning in Decentralized Caching Networks. - Yu Ye 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Cogn. Commun. Netw., 2020)

Cache-Enabled Millimeter Wave Cellular Networks With Clusters. - Yu Ye 001; Shaocheng Huang 001; Ming Xiao 001; Zheng Ma 001; Mikael Skoglund (IEEE Trans. Commun., 2020)

Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization. - Yu Ye 001; Hao Chen 048; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (IEEE Trans. Signal Process., 2020)

Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems Using Learning Machine. - Shaocheng Huang 001; Yu Ye 001; Ming Xiao 001 (IEEE Wirel. Commun. Lett., 2020)

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. - Wanlu Lei; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; Zhu Han 001 (CoRR, 2021)

Fully Decentralized Federated Learning-Based On-Board Mission for UAV Swarm System. - Yue Xiao 002; Yu Ye 001; Shaocheng Huang 001; Li Hao; Zheng Ma 001; Ming Xiao 001; Shahid Mumtaz; Octavia A. Dobre (IEEE Commun. Lett., 2021)

Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing. - Hao Chen 048; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (IEEE Internet Things J., 2021)

Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems. - Shaocheng Huang 001; Yu Ye 001; Ming Xiao 001 (IEEE Trans. Cogn. Commun. Netw., 2021)

Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM. - Yu Ye 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Signal Process., 2021)

Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks. - Shaocheng Huang 001; Yu Ye 001; Ming Xiao 001; H. Vincent Poor; Mikael Skoglund (IEEE Wirel. Commun. Lett., 2021)

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT. - Wanlu Lei; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; Zhu Han 001 (IEEE Internet Things J., 2022)

Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach. - Wanlu Lei; Deyou Zhang; Yu Ye 001; Chenguang Lu (IEEE J. Sel. Top. Signal Process., 2022)

Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. - Hao Chen 048; Yu Ye 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Big Data, 2023)