| FedSEAL: semi-supervised federated learning with self-ensemble learning and negative learning J Bian, Z Fu, J Xu arXiv preprint arXiv:2110.07829, 2021 | 14 | 2021 |
| Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying J Bian, J Xu IEEE Transactions on Vehicular Technology, 2022 | 11* | 2022 |
| Federated Learning with Instance-Dependent Noisy Labels L Wang, J Bian, J Xu 2024 International Conference on Acoustics, Speech and Signal Processing …, 2023 | 9 | 2023 |
| Client clustering for energy-efficient clustered federated learning in wireless networks J Bian, J Xu Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | 9 | 2023 |
| CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers J Bian, L Wang, S Ren, J Xu The 15th ACM International Conference on Future and Sustainable Energy …, 2023 | 8 | 2023 |
| Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning J Bian, C Shen, J Xu arXiv preprint arXiv:2304.10744, 2023 | 6 | 2023 |
| Accelerating hybrid federated learning convergence under partial participation J Bian, L Wang, K Yang, C Shen, J Xu IEEE Transactions on Signal Processing, 2023 | 6 | 2023 |
| Federated learning via indirect server-client communications J Bian, C Shen, J Xu 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2023 | 5 | 2023 |
| On the Local Cache Update Rules in Streaming Federated Learning H Wang, J Bian, J Xu IEEE Internet of Things Journal, 2023 | 3 | 2023 |
| FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology Y Peng, J Bian, J Xu 2024 International Conference on Acoustics, Speech and Signal Processing …, 2024 | 2 | 2024 |
| Adaptive User-Centric Entanglement Routing in Quantum Data Networks L Wang, J Bian, J Xu IEEE International Conference on Distributed Computing Systems (ICDCS), 2024, 2024 | | 2024 |
| Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains L Wang, J Bian, L Zhang, C Chen, J Xu arXiv preprint arXiv:2403.09048, 2024 | | 2024 |
| Mobility-Assisted Federated Learning for Vehicular Edge Computing J Bian, J Xu 2023 57th Asilomar Conference on Signals, Systems, and Computers, 289-293, 2023 | | 2023 |
Jie XuAssociate Professor, Electrical and Computer Engineering, University of Miami在 miami.edu 的电子邮件经过验证
