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Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork

Jan 12, 2021
Chang-Jen Wang, Chao-Kai Wen, Shang-Ho, Tsai, Shi Jin, Geoffrey Ye Li

* 13 pages, 9 figures, submitted to IEEE SP 

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Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches

Jun 16, 2020
Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang, Zaichen Zhang, Geoffrey Ye Li


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Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks

Mar 08, 2020
Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li

* 14 pages, 13 figures, accepted by IEEE Transactions on Vehicular Technology 

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Learn to Compress CSI and Allocate Resources in Vehicular Networks

Aug 12, 2019
Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li

* arXiv admin note: text overlap with arXiv:1908.03447 

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Learn to Allocate Resources in Vehicular Networks

Jul 30, 2019
Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li


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Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection

Jul 22, 2019
Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 27 Pages, 8 Figures, 1 Table. This paper has been submitted to the IEEE for possible publication 

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Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

Jul 07, 2019
Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li

* 13 pages; 8 figures; 3 tables; submitted to IEEE journals for possbile publication 

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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

May 04, 2019
Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 5 pages, 4 figures, updated manuscript, International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019). arXiv admin note: substantial text overlap with arXiv:1903.04766 

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Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results

Dec 20, 2018
Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

* 29 pages, 13 figures, submitted to IEEE Journal on Selected Areas in Communications 

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Towards Intelligent Vehicular Networks: A Machine Learning Framework

Sep 28, 2018
Le Liang, Hao Ye, Geoffrey Ye Li

* Accepted by IEEE Internet of Things Journal 

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Model-Driven Deep Learning for Physical Layer Communications

Sep 17, 2018
Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu

* 14 pages,6 figures 

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