| 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 | 246 | 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 | 204 | 2021 |
| Sst-emotionnet: Spatial-spectral-temporal based attention 3d dense network for eeg emotion recognition Z Jia, Y Lin, X Cai, H Chen, H Gou, J Wang Proceedings of the 28th ACM international conference on multimedia, 2909-2917, 2020 | 151 | 2020 |
| SalientSleepNet: Multimodal salient wave detection network for sleep staging Z Jia, Y Lin, J Wang, X Wang, P Xie, Y Zhang arXiv preprint arXiv:2105.13864, 2021 | 114 | 2021 |
| Multi-modal physiological signals based squeeze-and-excitation network with domain adversarial learning for sleep staging Z Jia, X Cai, Z Jiao IEEE Sensors Journal 22 (4), 3464-3471, 2022 | 95 | 2022 |
| HetEmotionNet: two-stream heterogeneous graph recurrent neural network for multi-modal emotion recognition Z Jia, Y Lin, J Wang, Z Feng, X Xie, C Chen Proceedings of the 29th ACM international conference on multimedia, 1047-1056, 2021 | 94 | 2021 |
| MMCNN: A multi-branch multi-scale convolutional neural network for motor imagery classification Z Jia, Y Lin, J Wang, K Yang, T Liu, X Zhang Machine learning and knowledge discovery in databases: European conference …, 2021 | 69 | 2021 |
| SleepPrintNet: A multivariate multimodal neural network based on physiological time-series for automatic sleep staging Z Jia, X Cai, G Zheng, J Wang, Y Lin IEEE Transactions on Artificial Intelligence 1 (3), 248-257, 2020 | 67 | 2020 |
| Hybrid spiking neural network for sleep electroencephalogram signals Z Jia, J Ji, X Zhou, Y Zhou Science China Information Sciences 65 (4), 140403, 2022 | 60 | 2022 |
| Refined nonuniform embedding for coupling detection in multivariate time series Z Jia, Y Lin, Y Liu, Z Jiao, J Wang Physical Review E 101 (6), 062113, 2020 | 44 | 2020 |
| Delay propagation network in air transport systems based on refined nonlinear Granger causality Z Jia, X Cai, Y Hu, J Ji, Z Jiao Transportmetrica B: Transport Dynamics 10 (1), 586-598, 2022 | 41 | 2022 |
| Emotionkd: a cross-modal knowledge distillation framework for emotion recognition based on physiological signals Y Liu, Z Jia, H Wang Proceedings of the 31st ACM International Conference on Multimedia, 6122-6131, 2023 | 31 | 2023 |
| Detecting causality in multivariate time series via non-uniform embedding Z Jia, Y Lin, Z Jiao, Y Ma, J Wang Entropy 21 (12), 1233, 2019 | 29 | 2019 |
| Interpretable and robust ai in eeg systems: A survey X Zhou, C Liu, Z Wang, L Zhai, Z Jia, C Guan, Y Liu arXiv preprint arXiv:2304.10755, 2023 | 25 | 2023 |
| Bstt: A bayesian spatial-temporal transformer for sleep staging Y Liu, Z Jia The Eleventh International Conference on Learning Representations, 2023 | 23 | 2023 |
| ADFCNN: attention-based dual-scale fusion convolutional neural network for motor imagery brain–computer interface W Tao, Z Wang, CM Wong, Z Jia, C Li, X Chen, CLP Chen, F Wan IEEE Transactions on Neural Systems and Rehabilitation Engineering 32, 154-165, 2023 | 20 | 2023 |
| Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG. H Liang, Y Liu, H Wang, Z Jia, B Center IJCAI, 3948-3956, 2023 | 20 | 2023 |
| Learning space-time-frequency representation with two-stream attention based 3D network for motor imagery classification Z Li, J Wang, Z Jia, Y Lin 2020 IEEE International Conference on Data Mining (ICDM), 1124-1129, 2020 | 20 | 2020 |
| Exploiting interactivity and heterogeneity for sleep stage classification via heterogeneous graph neural network Z Jia, Y Lin, Y Zhou, X Cai, P Zheng, Q Li, J Wang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 19 | 2023 |
| Representation based on ordinal patterns for seizure detection in EEG signals Y Liu, Y Lin, Z Jia, Y Ma, J Wang Computers in Biology and Medicine 126, 104033, 2020 | 18 | 2020 |
