| 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 IJCAI 2021, 1324-1330, 2020 | 169 | 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 | 128 | 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 | 2 | 2023 |
| 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 |
| 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 | | 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 | | 2023 |
