| Deep reinforcement learning-based spectrum allocation in integrated access and backhaul networks W Lei, Y Ye, M Xiao IEEE Transactions on Cognitive Communications and Networking 6 (3), 970-979, 2020 | 125 | 2020 |
| Decentralized beamforming design for intelligent reflecting surface-enhanced cell-free networks S Huang, Y Ye, M Xiao, HV Poor, M Skoglund IEEE wireless communications letters 10 (3), 673-677, 2020 | 105 | 2020 |
| Fully decentralized federated learning-based on-board mission for UAV swarm system Y Xiao, Y Ye, S Huang, L Hao, Z Ma, M Xiao, S Mumtaz, OA Dobre IEEE Communications Letters 25 (10), 3296-3300, 2021 | 39 | 2021 |
| Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization Y Ye, H Chen, M Xiao, M Skoglund, HV Poor IEEE Transactions on Signal Processing, 2020 | 37 | 2020 |
| Learning-based hybrid beamforming design for full-duplex millimeter wave systems S Huang, Y Ye, M Xiao IEEE Transactions on Cognitive Communications and Networking 7 (1), 120-132, 2020 | 34 | 2020 |
| Robustness in chinese remainder theorem for multiple numbers and remainder coding H Xiao, Y Huang, Y Ye, G Xiao IEEE Transactions on Signal Processing 66 (16), 4347-4361, 2018 | 31 | 2018 |
| Mobility-aware content preference learning in decentralized caching networks Y Ye, M Xiao, M Skoglund IEEE Transactions on Cognitive Communications and Networking 6 (1), 62-73, 2019 | 30 | 2019 |
| Decentralized consensus optimization based on parallel random walk Y Ye, H Chen, Z Ma, M Xiao IEEE Communications Letters 24 (2), 391-395, 2019 | 25 | 2019 |
| Coded stochastic ADMM for decentralized consensus optimization with edge computing H Chen, Y Ye, M Xiao, M Skoglund, HV Poor IEEE Internet of Things Journal 8 (7), 5360-5373, 2021 | 21 | 2021 |
| Hybrid beamforming for millimeter wave multi-user MIMO systems using learning machine S Huang, Y Ye, M Xiao IEEE Wireless Communications Letters 9 (11), 1914-1918, 2020 | 19 | 2020 |
| Joint beam training and data transmission control for mmWave delay-sensitive communications: A parallel reinforcement learning approach W Lei, D Zhang, Y Ye, C Lu IEEE Journal of selected topics in signal processing 16 (3), 447-459, 2022 | 15 | 2022 |
| Decentralized multi-task learning based on extreme learning machines Y Ye, M Xiao, M Skoglund arXiv preprint arXiv:1904.11366, 2019 | 12 | 2019 |
| Local differential privacy in decentralized optimization H Xiao, Y Ye, S Devadas arXiv preprint arXiv:1902.06101, 2019 | 12 | 2019 |
| Cache-enabled millimeter wave cellular networks with clusters Y Ye, S Huang, M Xiao, Z Ma, M Skoglund IEEE Transactions on Communications 68 (12), 7732-7745, 2020 | 11 | 2020 |
| Fully decentralized federated learning based beamforming design for UAV communications Y Xiao, Y Ye, S Huang, L Hao, Z Ma, M Xiao, S Mumtaz arXiv preprint arXiv:2007.13614, 2020 | 11 | 2020 |
| Performance analysis of mobility prediction based proactive wireless caching Y Ye, M Xiao, Z Zhang, Z Ma 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 11 | 2018 |
| Algorithms for comparison in residue number systems H Xiao, Y Ye, G Xiao, Q Kang 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 11 | 2016 |
| Adaptive stochastic ADMM for decentralized reinforcement learning in edge IoT W Lei, Y Ye, M Xiao, M Skoglund, Z Han IEEE Internet of Things Journal 9 (22), 22958-22971, 2022 | 9 | 2022 |
| Minimum cost based clustering scheme for cooperative wireless caching network with heterogeneous file preference Y Ye, Z Zhang, G Yang, M Xiao 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 9 | 2017 |
| Randomized neural networks based decentralized multi-task learning via hybrid multi-block ADMM Y Ye, M Xiao, M Skoglund IEEE Transactions on Signal Processing 69, 2844-2857, 2021 | 8 | 2021 |
Ming XiaoProfessor, KTHZweryfikowany adres z ieee.org