| Infedge: A blockchain-based incentive mechanism in hierarchical federated learning for end-edge-cloud communications X Wang, Y Zhao, C Qiu, Z Liu, J Nie, VCM Leung IEEE Journal on Selected Areas in Communications 40 (12), 3325-3342, 2022 | 40 | 2022 |
| Learn to coordinate for computation offloading and resource allocation in edge computing: A rational-based distributed approach Z Liu, Y Zhao, J Song, C Qiu, X Chen, X Wang IEEE Transactions on Network Science and Engineering 9 (5), 3136-3151, 2021 | 11 | 2021 |
| Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models J Guan, Y Zhao Communications in Statistics-Theory and Methods 49 (16), 3835-3859, 2020 | 10 | 2020 |
| An incentive mechanism for big data trading in end-edge-cloud hierarchical federated learning Y Zhao, Z Liu, C Qiu, X Wang, FR Yu, VCM Leung 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 9 | 2021 |
| Socialized learning for smart cities: Cognitive paradigm, methodology, and solution Y Zhao, Z Liu, C Qiu, X Li, X Wang, Q Hu IEEE Wireless Communications 28 (5), 200-208, 2021 | 9 | 2021 |
| Uncertainty measured active client selection for federated learning in smart grid P Li, Y Zhao, L Chen, K Cheng, C Xie, X Wang, Q Hu 2022 IEEE International Conference on Smart Internet of Things (SmartIoT …, 2022 | 3 | 2022 |
| Multi-granularity weighted federated learning in heterogeneous mobile edge computing systems S Cai, Y Zhao, Z Liu, C Qiu, X Wang, Q Hu 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 3 | 2022 |
| A new robust parameter estimation approach for multinomial categorical response data with outliers and mismeasured covariates Y Zhao, J Guan Communications in Statistics-Theory and Methods 52 (17), 6179-6206, 2023 | 1 | 2023 |
| SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems Z Wang, Y Zhao, C Qiu, Q He, X Wang, X Wang, Q Hu 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | 1 | 2023 |
| Mgfl: multi-granularity federated learning in edge computing systems S Cai, Y Zhao, Z Liu, C Qiu, X Wang, Q Hu International Conference on Algorithms and Architectures for Parallel …, 2021 | 1 | 2021 |
| Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems X Wang, Y Zhao, C Qiu, Q Hu, V Leung arXiv preprint arXiv:2404.13348, 2024 | | 2024 |
| ENASFL: A Federated Neural Architecture Search Scheme for Heterogeneous Deep Models in Distributed Edge Computing Systems Z Zhang, Z Liu, Y Zhao, C Qiu, C Zhang, X Wang IEEE Transactions on Network Science and Engineering, 2023 | | 2023 |
| Enabling Real-Time Video Analytics with Adaptive Sampling and Detection-Based Tracking in Edge Computing Y Wang, Z Liu, Y Zhao, X Wang, C Qiu GLOBECOM 2023-2023 IEEE Global Communications Conference, 3554-3559, 2023 | | 2023 |
| MG2FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems Z Dai, Y Zhao, C Qiu, X Wang, FR Yu GLOBECOM 2023-2023 IEEE Global Communications Conference, 152-157, 2023 | | 2023 |
| SemanticICV: Endogenous Secure Full-Scenario Learning for Intelligent Connected Vehicles Driven by Semantics C Zhang, T Zhang, Y Zhao, C Qiu, X Wang, S Lan, J Cao IEEE Network, 2023 | | 2023 |
| Bat-FG: A Broad Attention Based Fine-Grained Offloading in Green Computing Power Networks Z Liu, C Qiu, Y Zhao, X Wang, J Jiang ICC 2023-IEEE International Conference on Communications, 5117-5122, 2023 | | 2023 |
| Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems Z Wang, Y Zhao, Y Wang, L Yan, Z Liu, C Qiu, X Wang, Q Hu Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2022 | | 2022 |
