Yu Ye

36 papers B 3Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Heterogeneous Wireless Federated Learning Framework via Over-the-Air Computation.
IEEE Trans. Veh. Technol.
Yue Xiao, Yu Ye, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Yang You, George K. Karagiannidis
2025 — conf
Homomorphic-encryption-based Decentralized Federated Learning.
ICC
Yue Xiao, Yu Ye, Xiyu Sheng, Yang You, Sotiris A. Tegos, Guoqiang Xiao, George K. Karagiannidis, Carlo Fischione
2024 — conf
Fast Incremental ADMM for Decentralized Consensus Multi-Agent Optimization.
ICCA
Yang You, Yu Ye, Guoqiang Xiao, Qianwen Xu
2023 J jnl
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning.
IEEE Trans. Big Data
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
2022 J jnl
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT.
IEEE Internet Things J.
Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
2022 J jnl
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning.
CoRR
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
2022 J jnl
Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach.
IEEE J. Sel. Top. Signal Process.
Wanlu Lei, Deyou Zhang, Yu Ye, Chenguang Lu
2021 J jnl
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT.
CoRR
Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
2021 J jnl
Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing.
IEEE Internet Things J.
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2021 J jnl
Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks.
IEEE Wirel. Commun. Lett.
Shaocheng Huang, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund
2021 J jnl
Fully Decentralized Federated Learning-Based On-Board Mission for UAV Swarm System.
IEEE Commun. Lett.
Yue Xiao, Yu Ye, Shaocheng Huang, Li Hao, Zheng Ma, Ming Xiao, Shahid Mumtaz, Octavia A. Dobre
2021 J jnl
Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems.
IEEE Trans. Cogn. Commun. Netw.
Shaocheng Huang, Yu Ye, Ming Xiao
2021 J jnl
Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM.
IEEE Trans. Signal Process.
Yu Ye, Ming Xiao, Mikael Skoglund
2020 J jnl
Cache-Enabled Millimeter Wave Cellular Networks With Clusters.
IEEE Trans. Commun.
Yu Ye, Shaocheng Huang, Ming Xiao, Zheng Ma, Mikael Skoglund
2020 J jnl
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing.
CoRR
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2020 J jnl
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks.
CoRR
Shaocheng Huang, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund
2020 J jnl
Decentralized Consensus Optimization Based on Parallel Random Walk.
IEEE Commun. Lett.
Yu Ye, Hao Chen, Zheng Ma, Ming Xiao
2020 J jnl
Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks.
CoRR
Wanlu Lei, Yu Ye, Ming Xiao
2020 J jnl
Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks.
IEEE Trans. Cogn. Commun. Netw.
Wanlu Lei, Yu Ye, Ming Xiao
2020 J jnl
Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems Using Learning Machine.
IEEE Wirel. Commun. Lett.
Shaocheng Huang, Yu Ye, Ming Xiao
2020 B conf
Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization.
ISIT
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2020 J jnl
Learning Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems.
CoRR
Shaocheng Huang, Yu Ye, Ming Xiao
2020 J jnl
Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems.
CoRR
Shaocheng Huang, Yu Ye, Ming Xiao
2020 J jnl
Mobility-Aware Content Preference Learning in Decentralized Caching Networks.
IEEE Trans. Cogn. Commun. Netw.
Yu Ye, Ming Xiao, Mikael Skoglund
2020 J jnl
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Process.
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2020 J jnl
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization.
CoRR
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
2019 J jnl
Decentralized Consensus Optimization Based on Parallel Random Walk.
CoRR
Yu Ye, Hao Chen, Zheng Ma, Ming Xiao
2019 J jnl
Decentralized Multi-Task Learning Based on Extreme Learning Machines.
CoRR
Yu Ye, Ming Xiao, Mikael Skoglund
2019 J jnl
Mobility-aware Content Preference Learning in Decentralized Caching Networks.
CoRR
Yu Ye, Ming Xiao, Mikael Skoglund
2018 B conf
Analysis on Consistency of Content Update in Cache-Enabled Heterogeneous Networks.
GLOBECOM
Yu Ye, Ming Xiao, Shahid Mumtaz, Jing Yue, Anwer Al-Dulaimi
2018 B conf
Performance analysis of mobility prediction based proactive wireless caching.
WCNC
Yu Ye, Ming Xiao, Zhengquan Zhang, Zheng Ma
2018 J jnl
Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding.
IEEE Trans. Signal Process.
Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao
2017 — conf
Minimum cost based clustering scheme for cooperative wireless caching network with heterogeneous file preference.
ICC
Yu Ye, Zhengquan Zhang, Guang Yang, Ming Xiao
2017 J jnl
Robustness in Chinese Remainder Theorem.
CoRR
Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao
2016 J jnl
A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization.
IEEE Signal Process. Lett.
Yu Ye, Hanshen Xiao, Guoqiang Xiao
2016 — conf
Algorithms for comparison in residue number systems.
APSIPA
Hanshen Xiao, Yu Ye, Guoqiang Xiao, Qin Kang