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 | 1146 | 2019 |
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 | 1146* | 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 | 762 | 2019 |
When mobile blockchain meets edge computing Z Xiong, Y Zhang, D Niyato, P Wang, Z Han IEEE Communications Magazine, 2018 | 574 | 2018 |
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 | 561 | 2019 |
Reliable federated learning for mobile networks J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani IEEE Wireless Communications, 2020 | 504 | 2020 |
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 | 430 | 2022 |
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 | 414 | 2020 |
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 | 412 | 2021 |
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 | 408 | 2022 |
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 | 387 | 2021 |
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 | 382 | 2020 |
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 | 344* | 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 | 344* | 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 | 271 | 2019 |
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 | 251 | 2019 |
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 | 249 | 2018 |
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 | 247 | 2021 |
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 | 207 | 2022 |
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 | 200 | 2018 |