Blockchain and machine learning for communications and networking systems Y Liu, FR Yu, X Li, H Ji, VCM Leung ieee communications surveys & tutorials 22 (2), 1392-1431, 2020 | 273 | 2020 |
Distributed resource allocation and computation offloading in fog and cloud networks with non-orthogonal multiple access Y Liu, FR Yu, X Li, H Ji, VCM Leung IEEE Transactions on Vehicular Technology 67 (12), 12137-12151, 2018 | 144 | 2018 |
Decentralized resource allocation for video transcoding and delivery in blockchain-based system with mobile edge computing Y Liu, FR Yu, X Li, H Ji, VCM Leung IEEE Transactions on Vehicular Technology 68 (11), 11169-11185, 2019 | 99 | 2019 |
Optimizing resources allocation for fog computing-based Internet of Things networks X Li, Y Liu, H Ji, H Zhang, VCM Leung IEEE Access 7, 64907-64922, 2019 | 96 | 2019 |
Grouping and cooperating among access points in user-centric ultra-dense networks with non-orthogonal multiple access Y Liu, X Li, FR Yu, H Ji, H Zhang, VCM Leung IEEE Journal on Selected Areas in Communications 35 (10), 2295-2311, 2017 | 79 | 2017 |
Blockchain-empowered data-driven networks: A survey and outlook X Li, Z Wang, VCM Leung, H Ji, Y Liu, H Zhang ACM Computing Surveys (CSUR) 54 (3), 1-38, 2021 | 34 | 2021 |
Hybrid computation offloading in fog and cloud networks with non-orthogonal multiple access Y Liu, FR Yu, X Li, H Ji, VCM Leung IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 33 | 2018 |
An intelligent UAV deployment scheme for load balance in small cell networks using machine learning JS Hu, H Zhang, YM Liu, X Li, H Ji 2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019 | 20 | 2019 |
A multi-user access scheme for throughput enhancement in UDN with NOMA Y Liu, X Li, H Ji, H Zhang 2017 IEEE International Conference on Communications Workshops (ICC …, 2017 | 20 | 2017 |
Resource allocation for video transcoding and delivery based on mobile edge computing and blockchain Y Liu, FR Yu, X Li, H Ji, VCM Leung 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 19 | 2018 |
Joint access and resource management for delay-sensitive transcoding in ultra-dense networks with mobile edge computing Y Liu, FR Yu, X Li, H Ji, H Zhang, VCM Leung 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 18 | 2018 |
Joint APs selection and resource allocation for self-healing in ultra dense network Y Liu, X Li, H Ji, K Wang, H Zhang 2016 International Conference on Computer, Information and Telecommunication …, 2016 | 17 | 2016 |
Energy-efficient federated learning framework for digital twin-enabled industrial internet of things J Zhang, Y Liu, X Qin, X Xu 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021 | 16 | 2021 |
Age-aware communication strategy in federated learning with energy harvesting devices X Liu, X Qin, H Chen, Y Liu, B Liu, P Zhang 2021 IEEE/CIC International Conference on Communications in China (ICCC …, 2021 | 16 | 2021 |
Evolution toward artificial intelligence of things under 6G ubiquitous-X P Zhang, X Xu, X Qin, Y Liu, N Ma, S Han Journal of Harbin Institute of Technology (New Series) 27 (3), 116-135, 2020 | 16 | 2020 |
Adaptive resource allocation for blockchain-based federated learning in internet of things J Zhang, Y Liu, X Qin, X Xu, P Zhang IEEE Internet of Things Journal, 2023 | 15 | 2023 |
A multiple APs cooperation access scheme for energy efficiency in UUDN with NOMA Y Liu, X Li, H Ji, H Zhang 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 9 | 2017 |
Energy-efficient caching and task offloading for timely status updates in uav-assisted vanets N Hu, X Qin, N Ma, Y Liu, Y Yao, P Zhang 2022 IEEE/CIC International Conference on Communications in China (ICCC …, 2022 | 8 | 2022 |
Self-optimizing interference management for non-orthogonal multiple access in ultra-dense networks Y Liu, FR Yu, X Li, H Ji, H Zhang, VCM Leung 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 7 | 2018 |
Blockchain-enabled online traffic congestion duration prediction in cognitive internet of vehicles H Chang, Y Liu, Z Sheng IEEE Internet of Things Journal 9 (24), 25612-25625, 2022 | 5 | 2022 |