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Zehui Xiong
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A survey on consensus mechanisms and mining strategy management in blockchain networks
W Wang, DT Hoang, P Hu, Z Xiong, D Niyato, P Wang, Y Wen, DI Kim
IEEE Access 7, 22328-22370, 2019
11282019
A survey on consensus mechanisms and mining management in blockchain networks
W Wang, DT Hoang, Z Xiong, D Niyato, P Wang, P Hu, Y Wen
arXiv preprint arXiv:1805.02707, 1-33, 2018
1128*2018
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
J Kang, Z Xiong, D Niyato, S Xie, J Zhang
IEEE Internet of Things Journal, 2019
7552019
When mobile blockchain meets edge computing
Z Xiong, Y Zhang, D Niyato, P Wang, Z Han
IEEE Communications Magazine, 2018
5722018
Toward secure blockchain-enabled Internet of Vehicles: Optimizing consensus management using reputation and contract theory
J Kang, Z Xiong, D Niyato, D Ye, DI Kim, J Zhao
IEEE Transactions on Vehicular Technology, 2019
5572019
Reliable federated learning for mobile networks
J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani
IEEE Wireless Communications, 2020
4932020
Fusing Blockchain and AI with Metaverse: A Survey
Q Yang, Y Zhao, H Huang, Z Xiong, J Kang, Z Zheng
IEEE Open Journal of the Computer Society, 2022
4162022
Artificial-intelligence-enabled intelligent 6G networks
H Yang, A Alphones, Z Xiong, D Niyato, J Zhao, K Wu
IEEE network 34 (6), 272-280, 2020
4082020
Deep reinforcement learning based intelligent reflecting surface for secure wireless communications
H Yang, Z Xiong, J Zhao, D Niyato, L Xiao, Q Wu
IEEE Transactions on Wireless Communications, 2021
4042021
A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges
M Xu, WC Ng, WYB Lim, J Kang, Z Xiong, D Niyato, Q Yang, XS Shen, ...
IEEE Communications Surveys & Tutorials, 2022
3862022
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang, MS Hossain
IEEE Internet of Things Journal, 2021
3772021
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Y Liu, X Yuan, Z Xiong, J Kang, X Wang, D Niyato
China Communications, 2020
3702020
Cloud/fog computing resource management and pricing for blockchain networks
Z Xiong, S Feng, W Wang, D Niyato, P Wang, Z Han
IEEE Internet of Things Journal, arXiv preprint arXiv:1710.01567, 2019
341*2019
Edge computing resource management and pricing for mobile blockchain
Z Xiong, S Feng, D Niyato, P Wang, Z Han
IEEE Internet of Things Journal, 2018
341*2018
Deep reinforcement learning for mobile 5G and beyond: Fundamentals, applications, and challenges
Z Xiong, Y Zhang, D Niyato, R Deng, P Wang, LC Wang
IEEE Vehicular Technology Magazine 14 (2), 44-52, 2019
2662019
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
J Kang, Z Xiong, D Niyato, H Yu, YC Liang, DI Kim
IEEE APWCS, arXiv preprint arXiv:1905.07479, 2019
2502019
Optimal auction for edge computing resource management in mobile blockchain networks: A deep learning approach
NC Luong, Z Xiong, P Wang, D Niyato
2018 IEEE International Conference on Communications (ICC), 2018
2462018
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
WYB Lim, J Huang, Z Xiong, J Kang, D Niyato, XS Hua, C Leung, C Miao
IEEE Transactions on Intelligent Transportation Systems, 2021
2412021
Realizing the metaverse with edge intelligence: A match made in heaven
WYB Lim, Z Xiong, D Niyato, X Cao, C Miao, S Sun, Q Yang
IEEE Wireless Communications, 2022
2012022
Social welfare maximization auction in edge computing resource allocation for mobile blockchain
Y Jiao, P Wang, D Niyato, Z Xiong
2018 IEEE International Conference on Communications (ICC), 2018
2002018
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