Cross-image relational knowledge distillation for semantic segmentation C Yang, H Zhou, Z An, X Jiang, Y Xu, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 213 | 2022 |
Self-supervised contrastive learning for EEG-based sleep staging X Jiang, J Zhao, B Du, Z Yuan 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 76 | 2021 |
Local adaptive joint sparse representation for hyperspectral image classification J Peng, X Jiang, N Chen, H Fu Neurocomputing 334, 239-248, 2019 | 33 | 2019 |
An effective multi-model fusion method for EEG-based sleep stage classification P An, Z Yuan, J Zhao, X Jiang, B Du Knowledge-Based Systems 219, 106890, 2021 | 29 | 2021 |
Negative Label Guided OOD Detection with Pretrained Vision-Language Models X Jiang, F Liu, Z Fang, H Chen, T Liu, F Zheng, B Han International Conference on Learning Representations (ICLR), 2024 | 28 | 2024 |
Detecting out-of-distribution data through in-distribution class prior X Jiang, F Liu, Z Fang, H Chen, T Liu, F Zheng, B Han International Conference on Machine Learning, 15067-15088, 2023 | 19 | 2023 |
MRNet: A multi-scale residual network for EEG-based sleep staging X Jiang, J Zhao, D Bo, A Panfeng, H Guo, Z Yuan 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
On the stability and generalization of triplet learning J Chen, H Chen, X Jiang, B Gu, W Li, T Gong, F Zheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7033-7041, 2023 | 4 | 2023 |
Multi-subband and multi-subepoch time series feature learning for EEG-based sleep stage classification P An, Z Yuan, J Zhao, X Jiang, Z Wang, B Du 2021 IEEE International Joint Conference on Biometrics (IJCB), 1-8, 2021 | 4 | 2021 |
Asynchronous dual free stochastic dual coordinate ascent for distributed data mining Z Huo, X Jiang, H Huang 2018 IEEE International Conference on Data Mining (ICDM), 167-176, 2018 | 4 | 2018 |
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs L Huang, X Jiang, Z Wang, W Mo, X Xiao, B Han, Y Yin, F Zheng arXiv preprint arXiv:2501.01042, 2025 | 1 | 2025 |
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications H Chen, Y Fu, X Jiang, Y Chen, W Li, Y Zhou, F Zheng IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
Feature Map Matters in Out-of-distribution Detection X Jiang, F Liu, Z Fang, H Chen, T Liu, F Zheng, B Han | | |