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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning

Sep 13, 2020
Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, Branka Vucetic

* This work has been submitted to Proceedings of the IEEE (in the second round of review) 

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Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles

Jul 27, 2020
Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li, Branka Vucetic


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Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G

Mar 29, 2020
Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic

* The manuscript has been submitted to IEEE TWC. It is in the second round of review 

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Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

Feb 22, 2020
Changyang She, Rui Dong, Zhouyou Gu, Zhanwei Hou, Yonghui Li, Wibowo Hardjawana, Chenyang Yang, Lingyang Song, Branka Vucetic

* The manuscript contains 4 figures 2 tables. It has been submitted to IEEE Network (in the second round of revision) 

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Crowd Scene Analysis by Output Encoding

Jan 27, 2020
Yao Xue, Siming Liu, Yonghui Li, Xueming Qian


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A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels

Jul 21, 2019
Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic

* 46 pages, 10 figures, accepted by IEEE Transactions on Signal Processing 2019 

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Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin

Jun 30, 2019
Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic

* To appear in IEEE Trans. on Wireless Commun. (accepted with minor revision) 

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