Yang ZHANG | 章阳
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When mobile blockchain meets edge computing
Z Xiong, Y Zhang, D Niyato, P Wang, Z Han
IEEE Communications Magazine 56 (8), 33-39, 2018
Reliable federated learning for mobile networks
J Kang, Z Xiong, D Niyato, Y Zou, Y Zhang, M Guizani
IEEE Wireless Communications 27 (2), 72-80, 2020
Offloading in mobile cloudlet systems with intermittent connectivity
Y Zhang, D Niyato, P Wang
IEEE Transactions on Mobile Computing 14 (12), 2516-2529, 2015
Auction approaches for resource allocation in wireless systems: A survey
Y Zhang, C Lee, D Niyato, P Wang
IEEE Communications surveys & tutorials 15 (3), 1020-1041, 2012
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 8 (8), 6348-6358, 2020
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
Data-driven trajectory quality improvement for promoting intelligent vessel traffic services in 6G-enabled maritime IoT systems
RW Liu, J Nie, S Garg, Z Xiong, Y Zhang, MS Hossain
IEEE Internet of Things Journal 8 (7), 5374-5385, 2020
Decentralized edge intelligence: A dynamic resource allocation framework for hierarchical federated learning
WYB Lim, JS Ng, Z Xiong, J Jin, Y Zhang, D Niyato, C Leung, C Miao
IEEE Transactions on Parallel and Distributed Systems 33 (3), 536-550, 2021
EDL-COVID: ensemble deep learning for COVID-19 case detection from chest x-ray images
S Tang, C Wang, J Nie, N Kumar, Y Zhang, Z Xiong, A Barnawi
IEEE Transactions on Industrial Informatics 17 (9), 6539-6549, 2021
Auction-based resource allocation in cognitive radio systems
Y Zhang, D Niyato, P Wang, E Hossain
IEEE Communications Magazine 50 (11), 108-120, 2012
The best of both worlds: A general architecture for data management in blockchain-enabled Internet-of-Things
Z Xiong, Y Zhang, NC Luong, D Niyato, P Wang, N Guizani
IEEE network 34 (1), 166-173, 2020
Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
RW Liu, M Liang, J Nie, WYB Lim, Y Zhang, M Guizani
IEEE Transactions on Network Science and Engineering 9 (5), 3080-3094, 2022
UAV-assisted wireless energy and data transfer with deep reinforcement learning
Z Xiong, Y Zhang, WYB Lim, J Kang, D Niyato, C Leung, C Miao
IEEE Transactions on Cognitive Communications and Networking 7 (1), 85-99, 2020
Economic analysis of network effects on sponsored content: A hierarchical game theoretic approach
Z Xiong, S Feng, D Niyato, P Wang, Y Zhang
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
Optimizing task assignment for reliable blockchain-empowered federated edge learning
J Kang, Z Xiong, X Li, Y Zhang, D Niyato, C Leung, C Miao
IEEE Transactions on Vehicular Technology 70 (2), 1910-1923, 2021
An auction mechanism for resource allocation in mobile cloud computing systems
Y Zhang, D Niyato, P Wang
Wireless Algorithms, Systems, and Applications: 8th International Conference …, 2013
Incentive mechanisms for federated learning: From economic and game theoretic perspective
X Tu, K Zhu, NC Luong, D Niyato, Y Zhang, J Li
IEEE Transactions on Cognitive Communications and Networking, 2022
Dynamic offloading algorithm in intermittently connected mobile cloudlet systems
Y Zhang, D Niyato, P Wang, CK Tham
2014 IEEE international conference on communications (ICC), 4190-4195, 2014
Information trading in internet of things for smart cities: A market-oriented analysis
Y Zhang, Z Xiong, D Niyato, P Wang, Z Han
IEEE Network 34 (1), 122-129, 2020
Joint optimization of service chain caching and task offloading in mobile edge computing
K Peng, J Nie, N Kumar, C Cai, J Kang, Z Xiong, Y Zhang
Applied Soft Computing 103, 107142, 2021
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