| Spatial–temporal recurrent neural network for emotion recognition T Zhang, W Zheng, Z Cui, Y Zong, Y Li IEEE transactions on cybernetics 49 (3), 839-847, 2018 | 481 | 2018 |
| A bi-hemisphere domain adversarial neural network model for EEG emotion recognition Y Li, W Zheng, Y Zong, Z Cui, T Zhang, X Zhou IEEE Transactions on Affective Computing 12 (2), 494-504, 2018 | 200 | 2018 |
| A novel bi-hemispheric discrepancy model for EEG emotion recognition Y Li, L Wang, W Zheng, Y Zong, L Qi, Z Cui, T Zhang, T Song IEEE Transactions on Cognitive and Developmental Systems 13 (2), 354-367, 2020 | 197 | 2020 |
| From regional to global brain: A novel hierarchical spatial-temporal neural network model for EEG emotion recognition Y Li, W Zheng, L Wang, Y Zong, Z Cui IEEE Transactions on Affective Computing 13 (2), 568-578, 2019 | 183 | 2019 |
| A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition. Y Li, W Zheng, Z Cui, T Zhang, Y Zong IJCAI, 1561-1567, 2018 | 116 | 2018 |
| EEG emotion recognition based on graph regularized sparse linear regression Y Li, W Zheng, Z Cui, Y Zong, S Ge Neural Processing Letters 49, 555-571, 2019 | 83 | 2019 |
| Face recognition based on recurrent regression neural network Y Li, W Zheng, Z Cui, T Zhang Neurocomputing 297, 50-58, 2018 | 82 | 2018 |
| Graph-embedded convolutional neural network for image-based EEG emotion recognition T Song, W Zheng, S Liu, Y Zong, Z Cui, Y Li IEEE Transactions on Emerging Topics in Computing 10 (3), 1399-1413, 2021 | 74 | 2021 |
| A novel transferability attention neural network model for EEG emotion recognition Y Li, B Fu, F Li, G Shi, W Zheng Neurocomputing 447, 92-101, 2021 | 58 | 2021 |
| Variational instance-adaptive graph for EEG emotion recognition T Song, S Liu, W Zheng, Y Zong, Z Cui, Y Li, X Zhou IEEE Transactions on Affective Computing 14 (1), 343-356, 2021 | 45 | 2021 |
| View-independent facial action unit detection C Tang, W Zheng, J Yan, Q Li, Y Li, T Zhang, Z Cui 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 44 | 2017 |
| Domain invariant feature learning for speaker-independent speech emotion recognition C Lu, Y Zong, W Zheng, Y Li, C Tang, BW Schuller IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2217-2230, 2022 | 41 | 2022 |
| 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 | 39 | 2022 |
| Conditional generative adversarial network for EEG-based emotion fine-grained estimation and visualization B Fu, F Li, Y Niu, H Wu, Y Li, G Shi Journal of Visual Communication and Image Representation 74, 102982, 2021 | 22 | 2021 |
| 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 | 20 | 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 | 15 | 2023 |
| A novel graph regularized sparse linear discriminant analysis model for EEG emotion recognition Y Li, W Zheng, Z Cui, X Zhou International conference on neural information processing, 175-182, 2016 | 15 | 2016 |
| 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 | 12 | 2021 |
| 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 | 3 | 2022 |
| 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 | 3 | 2022 |
