| Personalized Federated Learning with Feature Alignment and Classifier Collaboration J Xu, X Tong, SL Huang ICLR 2023-The Eleventh International Conference on Learning Representations, 2023 | 52 | 2023 |
| Byzantine-robust federated learning through collaborative malicious gradient filtering J Xu, SL Huang, L Song, T Lan 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 30* | 2022 |
| Live gradient compensation for evading stragglers in distributed learning J Xu, SL Huang, L Song, T Lan IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 16 | 2021 |
| An improved hybrid CNN-SVM based method for bearing fault diagnosis under noisy environment J Xu, L Ma, W Zhang, Q Yang, X Li, S Liu 2019 Chinese control and decision conference (CCDC), 4660-4665, 2019 | 12 | 2019 |
| A novel method for detection of wind turbine blade imbalance based on multi-variable spectrum imaging and convolutional neural network Z Cao, J Xu, W Xiao, Y Gao, H Wu 2019 Chinese Control Conference (CCC), 4925-4930, 2019 | 7 | 2019 |
| Byzantine-resilient decentralized collaborative learning J Xu, SL Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| FedPer++: toward improved personalized federated learning on heterogeneous and imbalanced data J Xu, Y Yan, SL Huang 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 4 | 2022 |
| An information-theoretic method for collaborative distributed learning with limited communication X Tong, J Xu, SL Huang 2022 IEEE Information Theory Workshop (ITW), 49-54, 2022 | 2 | 2022 |
| RESC: REfine the SCore with adaptive transformer head for end-to-end object detection H Wang, R Jiang, J Xu, S Sun Neural Computing and Applications 34 (14), 12017-12028, 2022 | 2 | 2022 |
| Communication-efficient and Byzantine-robust distributed stochastic learning with arbitrary number of corrupted workers J Xu, X Tong, SL Huang ICC 2022-IEEE International Conference on Communications, 5415-5420, 2022 | 2 | 2022 |
| NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector Y Li, H Huang, J Xu, SL Huang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data J Xu, G Yan, Z Zheng, SL Huang 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning J Xu, SL Huang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| FedHAP: Federated Hashing with Global Prototypes for Cross-Silo Retrieval M Yang, J Xu, W Ding, Y Liu IEEE Transactions on Parallel and Distributed Systems, 2023 | | 2023 |
| Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout J Xu, M Yang, W Ding, SL Huang arXiv e-prints, arXiv: 2303.06314, 2023 | | 2023 |
| Distilling DETR-Like Detectors with Instance-Aware Feature H Wang, J Xu, S Sun 2022 IEEE International Conference on Image Processing (ICIP), 1186-1190, 2022 | | 2022 |
| Federated Capsule Graph Neural Network with Personalization M Yang, J Xu, W Ding, Y Liu Adjunct Proceedings of the 2022 ACM International Joint Conference on …, 2022 | | 2022 |
