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Zehui Xiong
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Year
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
12952019
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
1295*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
8962019
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
6212019
Reliable federated learning for mobile networks
J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani
IEEE Wireless Communications, 2020
6052020
When mobile blockchain meets edge computing
Z Xiong, Y Zhang, D Niyato, P Wang, Z Han
IEEE Communications Magazine, 2018
6032018
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
5632022
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
5452022
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
5272020
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
5102021
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
5072021
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
4462020
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
360*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
360*2018
Semantic communications for future internet: Fundamentals, applications, and challenges
W Yang, H Du, ZQ Liew, WYB Lim, Z Xiong, D Niyato, X Chi, X Shen, ...
IEEE Communications Surveys & Tutorials 25 (1), 213-250, 2022
3352022
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
3002021
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
2972019
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
2892019
Healthcare in metaverse: A survey on current metaverse applications in healthcare
G Bansal, K Rajgopal, V Chamola, Z Xiong, D Niyato
Ieee Access 10, 119914-119946, 2022
2682022
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
2592018
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Articles 1–20