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 | 131 | 2023 |
Byzantine-robust federated learning through collaborative malicious gradient filtering J Xu, SL Huang, L Song, T Lan ICDCS 2022-IEEE 42nd International Conference on Distributed Computing …, 2022 | 71* | 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 | 28 | 2021 |
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 | 13 | 2022 |
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 | 13 | 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 | 12 | 2019 |
Byzantine-resilient decentralized collaborative learning J Xu, SL Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning J Xu, SL Huang CIKM 2023-Proceedings of the 32nd ACM International Conference on …, 2023 | 4 | 2023 |
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 | 4 | 2022 |
COALA: A Practical and Vision-Centric Federated Learning Platform J Xu*, W Zhuang*, C Chen, J Li, L Lyu ICML 2024-The Forty-first International Conference on Machine Learning, 2024 | 3* | 2024 |
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 | 3 | 2023 |
Stabilizing and improving federated learning with highly non-iid data and client dropout J Xu, M Yang, W Ding, SL Huang Applied Intelligence 55 (3), 1-18, 2025 | 2* | 2025 |
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 |
Privacy in LLM-based Recommendation: Recent Advances and Future Directions S Luo, W Shao, Y Yao, J Xu, M Liu, Q Li, B He, M Wang, G Deng, H Hou, ... arXiv e-prints, arXiv: 2406.01363, 2024 | 1 | 2024 |
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 | 1 | 2024 |
Federated Capsule Graph Neural Network with Personalization M Yang*, J Xu*, W Ding, Y Liu Ubicomp 2022-Adjunct Proceedings of the 2022 ACM International Joint …, 2022 | 1 | 2022 |
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation Y Liang, Z Cai, J Xu, G Huang, Y Wang, X Liang, J Liu, Z Li, J Wang, ... NeurIPS 2024-The Thirty-eighth Annual Conference on Neural Information …, 2024 | | 2024 |
Cooperative Multi-Model Training for Personalized Federated Learning over Heterogeneous Devices J Xu, S Wan, Y Li, S Luo, Z Chen, Y Shao, Z Chen, SL Huang, L Song IEEE Journal of Selected Topics in Signal Processing, 2024 | | 2024 |
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Y Wang*, J Xu*, F Ma, SL Huang, DD Sun, XP Zhang arXiv preprint arXiv:2411.01419, 2024 | | 2024 |