GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification Z Jia, Y Lin, J Wang, R Zhou, X Ning, Y He, Y Zhao Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 245 | 2020 |
Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification Z Jia, Y Lin, J Wang, X Ning, Y He, R Zhou, Y Zhou, HL Li-wei IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1977-1986, 2021 | 203 | 2021 |
MetaEmotionNet: spatial-spectral-temporal based attention 3D dense network with meta-learning for EEG emotion recognition X Ning, J Wang, Y Lin, X Cai, H Chen, H Gou, X Li, Z Jia IEEE Transactions on Instrumentation and Measurement, 2023 | 15 | 2023 |
A Bayesian Graph Neural Network for EEG Classification—A Win-Win on Performance and Interpretability J Wang, X Ning, W Shi, Y Lin 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2126-2139, 2023 | 6 | 2023 |
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition J Wang, X Ning, W Xu, Y Li, Z Jia, Y Lin Neural Networks 180, 106742, 2024 | 2 | 2024 |
Multi-view Consistency Contrastive Learning with Hard Positives for Sleep Signals J Deng, Y Lin, X Jin, X Ning, J Wang IEEE Signal Processing Letters, 2023 | 2 | 2023 |
Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification J Wang, X Wang, X Ning, Y Lin, H Phan, Z Jia IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
Sleep stage classification model by meta transfer learning in few-shot scenarios W Shi, J Wang, X Ning, Y Lin Journal of Computer Applications 44 (5), 1445, 2024 | | 2024 |