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Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems

Oct 27, 2021
Xianhua Yu, Dong Li, Yongjun Xu, Ying-Chang Liang

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Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing

May 07, 2021
Jun Fang, Bin Wang, Hongbin Li, Ying-Chang Liang

* This paper has been accepted by IEEE Wireless Communications Magazine for future publication 

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Toward Smart Security Enhancement of Federated Learning Networks

Aug 19, 2020
Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato

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Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

May 16, 2019
Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim

* submitted to the conference for potential publication 

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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Oct 18, 2018
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim

* 37 pages, 13 figures, 6 tables, 174 reference papers 

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Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks

Oct 03, 2018
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Ying-Chang Liang, Dong In Kim

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Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation

Jul 19, 2018
Zhiyuan Zha, Xin Yuan, Bei Li, Xinggan Zhang, Xin Liu, Lan Tang, Ying-Chang Liang

* arXiv admin note: substantial text overlap with arXiv:1611.08983 

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