| GMSS: Graph-based multi-task self-supervised learning for EEG emotion recognition Y Li, J Chen, F Li, B Fu, H Wu, Y Ji, Y Zhou, Y Niu, G Shi, W Zheng IEEE Transactions on Affective Computing, 2022 | 65 | 2022 |
| Decoding imagined speech from EEG signals using hybrid-scale spatial-temporal dilated convolution network F Li, W Chao, Y Li, B Fu, Y Ji, H Wu, G Shi Journal of Neural Engineering 18 (4), 0460c4, 2021 | 24 | 2021 |
| Progressive graph convolution network for EEG emotion recognition Y Zhou, F Li, Y Li, Y Ji, G Shi, W Zheng, L Zhang, Y Chen, R Cheng Neurocomputing 544, 126262, 2023 | 23 | 2023 |
| Phase preservation neural network for electroencephalography classification in rapid serial visual presentation task F Li, C Wang, Y Li, H Wu, B Fu, Y Ji, Y Niu, G Shi IEEE Transactions on Biomedical Engineering 69 (6), 1931-1942, 2021 | 17 | 2021 |
| Decoupling representation learning for imbalanced electroencephalography classification in rapid serial visual presentation task F Li, H Li, Y Li, H Wu, B Fu, Y Ji, C Wang, G Shi Journal of Neural Engineering 19 (3), 036011, 2022 | 6 | 2022 |
| Spatial-temporal network for fine-grained-level emotion EEG recognition Y Ji, F Li, B Fu, Y Li, Y Zhou, Y Niu, L Zhang, Y Chen, G Shi Journal of Neural Engineering 19 (3), 036017, 2022 | 4 | 2022 |
| SCDAN: Learning Common Feature Representation of Brain Activation for Inter-Subject Motor Imagery EEG Decoding B Fu, F Li, Y Ji, Y Li, X Xie, G Shi IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
| EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition Y Zhou, F Li, Y Li, Y Ji, L Zhang, Y Chen, W Zheng, G Shi arXiv preprint arXiv:2308.05767, 2023 | 1 | 2023 |
