| Personalized federated learning for intelligent IoT applications: A cloud-edge based framework Q Wu, K He, X Chen IEEE Open Journal of the Computer Society 1, 35-44, 2020 | 344 | 2020 |
| HFEL: Joint edge association and resource allocation for cost-efficient hierarchical federated edge learning S Luo, X Chen, Q Wu, Z Zhou, S Yu IEEE Transactions on Wireless Communications 19 (10), 6535-6548, 2020 | 330 | 2020 |
| Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring Q Wu, X Chen, Z Zhou, J Zhang IEEE Transactions on Mobile Computing 21 (8), 2818-2832, 2020 | 244 | 2020 |
| Online orchestration of cross-edge service function chaining for cost-efficient edge computing Z Zhou, Q Wu, X Chen IEEE Journal on Selected Areas in Communications 37 (8), 1866-1880, 2019 | 109 | 2019 |
| Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control Q Wu, X Chen, Z Zhou, L Chen, J Zhang IEEE/ACM transactions on networking 29 (2), 935-948, 2021 | 76 | 2021 |
| Graph attention spatial-temporal network with collaborative global-local learning for citywide mobile traffic prediction K He, X Chen, Q Wu, S Yu, Z Zhou IEEE Transactions on mobile computing 21 (4), 1244-1256, 2020 | 66 | 2020 |
| Mobile social data learning for user-centric location prediction with application in mobile edge service migration Q Wu, X Chen, Z Zhou, L Chen IEEE Internet of Things Journal 6 (5), 7737-7747, 2019 | 42 | 2019 |
| Deep transfer learning across cities for mobile traffic prediction Q Wu, K He, X Chen, S Yu, J Zhang IEEE/ACM Transactions on Networking 30 (3), 1255-1267, 2021 | 23 | 2021 |
| HiFlash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association Q Wu, X Chen, T Ouyang, Z Zhou, X Zhang, S Yang, J Zhang IEEE Transactions on Parallel and Distributed Systems 34 (5), 1560-1579, 2023 | 22 | 2023 |
| Olive branch learning: A topology-aware federated learning framework for space-air-ground integrated network Q Fang, Z Zhai, S Yu, Q Wu, X Gong, X Chen IEEE Transactions on Wireless Communications 22 (7), 4534-4551, 2022 | 10 | 2022 |
| FedLEO: An offloading-assisted decentralized federated learning framework for low earth orbit satellite networks Z Zhai, Q Wu, S Yu, R Li, F Zhang, X Chen IEEE Transactions on Mobile Computing, 2023 | 8 | 2023 |
| Eco-fl: Adaptive federated learning with efficient edge collaborative pipeline training S Ye, L Zeng, Q Wu, K Luo, Q Fang, X Chen Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 8 | 2022 |
| DeepCP: Deep learning driven cascade prediction-based autonomous content placement in closed social network Q Wu, M Wu, X Chen, Z Zhou, K He, L Chen IEEE Journal on Selected Areas in Communications 38 (7), 1570-1583, 2020 | 5 | 2020 |
| Feddd: Toward communication-efficient federated learning with differential parameter dropout Z Feng, X Chen, Q Wu, W Wu, X Zhang, Q Huang IEEE Transactions on Mobile Computing, 2023 | 4 | 2023 |
| Fedbranch: Heterogeneous federated learning via multi-branch neural network J Cui, Q Wu, Z Zhou, X Chen 2022 IEEE/CIC International Conference on Communications in China (ICCC …, 2022 | 3 | 2022 |
| Information cascades over diffusion-restricted social network: A data-driven analysis B Zhang, Q Wu, X Chen, L Chen IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 3 | 2019 |
| IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content G Huang, Q Wu, J Li, X Chen IEEE Transactions on Mobile Computing, 2024 | 2 | 2024 |
| Wechat toxic article detection: A data-driven machine learning approach Y Weng, M Wu, X Chen, Q Wu, L He, L Chen 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 2 | 2018 |
| WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence J Shao, J Tong, Q Wu, W Guo, Z Li, Z Lin, J Zhang arXiv preprint arXiv:2405.17053, 2024 | 1 | 2024 |
| User-centric location prediction in mobile social networks: A factor graph learning approach Q Wu, X Chen, Z Zhou, L Chen 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 1 | 2018 |
Xu ChenProfessor, Sun Yat-sen university, Guangzhou, China在 mail.sysu.edu.cn 的电子邮件经过验证
