Yu Ye

Orcid: 0000-0003-4686-0973

Affiliations:
  • Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden


According to our database1, Yu Ye authored at least 25 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning.
IEEE Trans. Big Data, August, 2023

2022
Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach.
IEEE J. Sel. Top. Signal Process., 2022

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT.
IEEE Internet Things J., 2022

2021
Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks.
IEEE Wirel. Commun. Lett., 2021

Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM.
IEEE Trans. Signal Process., 2021

Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems.
IEEE Trans. Cogn. Commun. Netw., 2021

Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing.
IEEE Internet Things J., 2021

Fully Decentralized Federated Learning-Based On-Board Mission for UAV Swarm System.
IEEE Commun. Lett., 2021

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT.
CoRR, 2021

2020
Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems Using Learning Machine.
IEEE Wirel. Commun. Lett., 2020

Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Process., 2020

Cache-Enabled Millimeter Wave Cellular Networks With Clusters.
IEEE Trans. Commun., 2020

Mobility-Aware Content Preference Learning in Decentralized Caching Networks.
IEEE Trans. Cogn. Commun. Netw., 2020

Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks.
IEEE Trans. Cogn. Commun. Netw., 2020

Decentralized Consensus Optimization Based on Parallel Random Walk.
IEEE Commun. Lett., 2020

Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems.
CoRR, 2020

Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Decentralized Multi-Task Learning Based on Extreme Learning Machines.
CoRR, 2019

2018
Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding.
IEEE Trans. Signal Process., 2018

Performance analysis of mobility prediction based proactive wireless caching.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Analysis on Consistency of Content Update in Cache-Enabled Heterogeneous Networks.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Robustness in Chinese Remainder Theorem.
CoRR, 2017

Minimum cost based clustering scheme for cooperative wireless caching network with heterogeneous file preference.
Proceedings of the IEEE International Conference on Communications, 2017

2016
A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization.
IEEE Signal Process. Lett., 2016

Algorithms for comparison in residue number systems.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016


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