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Yu Ye 0001
Person information
- affiliation: Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
Other persons with the same name
- Yu Ye — disambiguation page
- Yu Ye 0002 — Tongji University, Shanghai, China
- Yu Ye 0003 — University of Science and Technology of China, Department of Precision Machinery and Instrumentation, Hefei, China
- Yu Ye 0004 — Fuzhou University, Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou, China
- Yu Ye 0005 — University of Murcia, Murcia, Spain
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2020 – today
- 2023
- [j16]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. IEEE Trans. Big Data 9(4): 1252-1259 (2023) - 2022
- [j15]Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT. IEEE Internet Things J. 9(22): 22958-22971 (2022) - [j14]Wanlu Lei, Deyou Zhang, Yu Ye, Chenguang Lu:
Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach. IEEE J. Sel. Top. Signal Process. 16(3): 447-459 (2022) - [i12]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. CoRR abs/2202.03263 (2022) - 2021
- [j13]Yue Xiao, Yu Ye, Shaocheng Huang, Li Hao, Zheng Ma, Ming Xiao, Shahid Mumtaz, Octavia A. Dobre:
Fully Decentralized Federated Learning-Based On-Board Mission for UAV Swarm System. IEEE Commun. Lett. 25(10): 3296-3300 (2021) - [j12]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing. IEEE Internet Things J. 8(7): 5360-5373 (2021) - [j11]Shaocheng Huang, Yu Ye, Ming Xiao:
Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems. IEEE Trans. Cogn. Commun. Netw. 7(1): 120-132 (2021) - [j10]Yu Ye, Ming Xiao, Mikael Skoglund:
Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM. IEEE Trans. Signal Process. 69: 2844-2857 (2021) - [j9]Shaocheng Huang, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund:
Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks. IEEE Wirel. Commun. Lett. 10(3): 673-677 (2021) - [i11]Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. CoRR abs/2107.00481 (2021) - 2020
- [j8]Yu Ye, Hao Chen, Zheng Ma, Ming Xiao:
Decentralized Consensus Optimization Based on Parallel Random Walk. IEEE Commun. Lett. 24(2): 391-395 (2020) - [j7]Yu Ye, Ming Xiao, Mikael Skoglund:
Mobility-Aware Content Preference Learning in Decentralized Caching Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 62-73 (2020) - [j6]Wanlu Lei, Yu Ye, Ming Xiao:
Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks. IEEE Trans. Cogn. Commun. Netw. 6(3): 970-979 (2020) - [j5]Yu Ye, Shaocheng Huang, Ming Xiao, Zheng Ma, Mikael Skoglund:
Cache-Enabled Millimeter Wave Cellular Networks With Clusters. IEEE Trans. Commun. 68(12): 7732-7745 (2020) - [j4]Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. 68: 5842-5854 (2020) - [j3]Shaocheng Huang, Yu Ye, Ming Xiao:
Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems Using Learning Machine. IEEE Wirel. Commun. Lett. 9(11): 1914-1918 (2020) - [c5]Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization. ISIT 2020: 209-214 - [i10]Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization. CoRR abs/2003.10615 (2020) - [i9]Shaocheng Huang, Yu Ye, Ming Xiao:
Learning Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems. CoRR abs/2004.08285 (2020) - [i8]Shaocheng Huang, Yu Ye, Ming Xiao:
Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems. CoRR abs/2004.12917 (2020) - [i7]Wanlu Lei, Yu Ye, Ming Xiao:
Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks. CoRR abs/2004.13133 (2020) - [i6]Shaocheng Huang, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund:
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks. CoRR abs/2006.12238 (2020) - [i5]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing. CoRR abs/2010.00914 (2020)
2010 – 2019
- 2019
- [i4]Yu Ye, Ming Xiao, Mikael Skoglund:
Decentralized Multi-Task Learning Based on Extreme Learning Machines. CoRR abs/1904.11366 (2019) - [i3]Yu Ye, Ming Xiao, Mikael Skoglund:
Mobility-aware Content Preference Learning in Decentralized Caching Networks. CoRR abs/1908.08576 (2019) - [i2]Yu Ye, Hao Chen, Zheng Ma, Ming Xiao:
Decentralized Consensus Optimization Based on Parallel Random Walk. CoRR abs/1911.09747 (2019) - 2018
- [j2]Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao:
Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding. IEEE Trans. Signal Process. 66(16): 4347-4361 (2018) - [c4]Yu Ye, Ming Xiao, Shahid Mumtaz, Jing Yue, Anwer Al-Dulaimi:
Analysis on Consistency of Content Update in Cache-Enabled Heterogeneous Networks. GLOBECOM 2018: 1-6 - [c3]Yu Ye, Ming Xiao, Zhengquan Zhang, Zheng Ma:
Performance analysis of mobility prediction based proactive wireless caching. WCNC 2018: 1-6 - 2017
- [c2]Yu Ye, Zhengquan Zhang, Guang Yang, Ming Xiao:
Minimum cost based clustering scheme for cooperative wireless caching network with heterogeneous file preference. ICC 2017: 1-6 - [i1]Hanshen Xiao, Yufeng Huang, Yu Ye, Guoqiang Xiao:
Robustness in Chinese Remainder Theorem. CoRR abs/1708.04089 (2017) - 2016
- [j1]Yu Ye, Hanshen Xiao, Guoqiang Xiao:
A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization. IEEE Signal Process. Lett. 23(9): 1236-1240 (2016) - [c1]Hanshen Xiao, Yu Ye, Guoqiang Xiao, Qin Kang:
Algorithms for comparison in residue number systems. APSIPA 2016: 1-6
Coauthor Index
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