Mingzhe Chen

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Walid SaadProfessor, Electrical and Computer Engineering, Virginia TechVerified email at vt.edu
HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Changchuan YinProfessor, School of Information and Communication Engineering, BUPTVerified email at bupt.edu.cn
Shuguang CuiDistinguished Presidential Chair Professor, School of Science and Engineering, CUHKSZVerified email at cuhk.edu.cn
Zhaohui YangAssistant Professor at Zhejiang UniversityVerified email at zju.edu.cn
Choong Seon HongProfessor of Computer Science and Engineering, Kyung Hee UniversityVerified email at khu.ac.kr
Bennis MehdiFull Professor, IEEE Fellow, Head of ICON, University of OuluVerified email at oulu.fi
Mohammad Shikh-BahaeiProfessor of Telecommunications, King's College LondonVerified email at kcl.ac.uk
Merouane DebbahKhalifa University, Centralesupelec, Lagrange Mathematics CenterVerified email at centralesupelec.fr
Ursula ChallitaSenior Researcher at EricssonVerified email at sms.ed.ac.uk
Sihua WangBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Nir ShlezingerBen-Gurion University of the NegevVerified email at post.bgu.ac.il
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Wei Xu (许威)Professor, Southeast UniversityVerified email at seu.edu.cn
Omid SemiariAI Research Scientist at Intel LabsVerified email at intel.com
Yang YangBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Mohammad MozaffariEricsson ResearchVerified email at vt.edu
Kai Kit WongProfessor of Wireless Communications, University College LondonVerified email at ucl.ac.uk
Ye HuAssistant Professor at University of MiamiVerified email at miami.edu
Deniz GunduzProfessor of Information Processing, Imperial College LondonVerified email at imperial.ac.uk

Mingzhe Chen

Assistant Professor, Electrical and Computer Engineering Department, University of Miami

Verified email at miami.edu - Homepage

Machine learning virtual reality caching unmanned aerial vehicles.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A vision of 6G wireless systems: Applications, trends, technologies, and open research problems W Saad, M Bennis, M Chen IEEE Network, 2020	2959	2020
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial M Chen, U Challita, W Saad, C Yin, M Debbah IEEE Communications Surveys & Tutorials, 2019	1118*	2019
A joint learning and communications framework for federated learning over wireless networks M Chen, Z Yang, W Saad, C Yin, HV Poor, S Cui IEEE Transactions on Wireless Communications 20 (1), 269-283, 2020	1048	2020
Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience M Chen, M Mozaffari, W Saad, C Yin, M Debbah, CS Hong IEEE Journal on Selected Areas in Communications 35 (5), 1046-1061, 2017	745	2017
Energy efficient federated learning over wireless communication networks Z Yang, M Chen, W Saad, CS Hong, M Shikh-Bahaei IEEE Transactions on Wireless Communications 20 (3), 1935-1949, 2020	668	2020
Distributed learning in wireless networks: Recent progress and future challenges M Chen, D Gündüz, K Huang, W Saad, M Bennis, AV Feljan, HV Poor IEEE Journal on Selected Areas in Communications 39 (12), 3579-3605, 2021	281	2021
Convergence time optimization for federated learning over wireless networks M Chen, HV Poor, W Saad, S Cui IEEE Transactions on Wireless Communications 20 (4), 2457-2471, 2020	260	2020
Virtual reality over wireless networks: Quality-of-service model and learning-based resource management M Chen, W Saad, C Yin IEEE Transactions on Communications 66 (11), 5621-5635, 2018	224	2018
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs U Challita, A Ferdowsi, M Chen, W Saad IEEE Wireless Communications 26 (1), 28 - 35, 2019	200*	2019
Echo state networks for proactive caching in cloud-based radio access networks with mobile users M Chen, W Saad, C Yin, M Debbah IEEE Transactions on Wireless Communications 16 (6), 3520-3535, 2017	200	2017
6G white paper on machine learning in wireless communication networks S Ali, W Saad, N Rajatheva, K Chang, D Steinbach, B Sliwa, C Wietfeld, ... arXiv preprint arXiv:2004.13875, 2020	184	2020
Communication-efficient federated learning M Chen, N Shlezinger, HV Poor, YC Eldar, S Cui Proceedings of the National Academy of Sciences 118 (17), e2024789118, 2021	183	2021
Energy-efficient wireless communications with distributed reconfigurable intelligent surfaces Z Yang, M Chen, W Saad, W Xu, M Shikh-Bahaei, HV Poor, S Cui IEEE Transactions on Wireless Communications 21 (1), 665-679, 2021	179	2021
Federated learning for 6G: Applications, challenges, and opportunities Z Yang, M Chen, KK Wong, HV Poor, S Cui Engineering 8, 33-41, 2022	177	2022
Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks M Chen, W Saad, C Yin IEEE Transactions on Wireless Communications 18 (3), 1504-1517, 2019	165	2019
UVeQFed: Universal vector quantization for federated learning N Shlezinger, M Chen, YC Eldar, HV Poor, S Cui IEEE Transactions on Signal Processing 69, 500-514, 2020	159	2020
Federated learning in the sky: Joint power allocation and scheduling with UAV swarms T Zeng, O Semiari, M Mozaffari, M Chen, W Saad, M Bennis ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020	155	2020
Wireless Communications for Collaborative Federated Learning M Chen, HV Poor, W Saad, S Cui IEEE Communications Magazine, 2020	146	2020
Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling M Chen, W Saad, C Yin IEEE Transactions on Wireless Communications, 2016	114	2016
Echo-liquid state deep learning for content transmission and caching in wireless VR networks with cellular-connected UAVs M Chen, W Saad, C Yin IEEE Transactions on Communications, 2019	106	2019

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