| GANSER: A self-supervised data augmentation framework for EEG-based emotion recognition Z Zhang, Y Liu, S Zhong IEEE Transactions on Affective Computing 14 (3), 2048-2063, 2022 | 93 | 2022 |
| Gla-gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video BXB Yu, Z Zhang, Y Liu, S Zhong, Y Liu, CW Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 66 | 2023 |
| Detecting abnormality with separated foreground and background: Mutual generative adversarial networks for video abnormal event detection Z Zhang, S Zhong, A Fares, Y Liu Computer Vision and Image Understanding 219, 103416, 2022 | 17 | 2022 |
| Beyond mimicking under-represented emotions: Deep data augmentation with emotional subspace constraints for EEG-based emotion recognition Z Zhang, S Zhong, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10252 …, 2024 | 14 | 2024 |
| Gatsmote: Improving imbalanced node classification on graphs via attention and homophily Y Liu, Z Zhang, Y Liu, Y Zhu Mathematics 10 (11), 1799, 2022 | 14 | 2022 |
| TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition Z Zhang, S Zhong, Y Liu Expert Systems with Applications 249, 123550, 2024 | 12 | 2024 |
| Steganographer detection via a similarity accumulation graph convolutional network Z Zhang, M Zheng, S Zhong, Y Liu Neural Networks 136, 97-111, 2021 | 11 | 2021 |
| Video abnormal event detection via context cueing generative adversarial network Z Zhang, S Zhong, Y Liu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 6 | 2021 |
| Steganographer detection via enhancement-aware graph convolutional network Z Zhang, M Zheng, S Zhong, Y Liu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 5 | 2020 |
| Knowledge-guided Network Pruning for EEG-based Emotion Recognition W Rao, SH Zhong, Z Zhang, Y Liu 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Attention-guided universal adversarial perturbations for EEG-based brain–computer interfaces S Zhong, S Zhao, Z Xiao, Z Zhang, Y Liu Expert Systems with Applications 268, 126362, 2025 | | 2025 |
| 基于多示例学习图卷积网络的隐写者检测 钟圣华， 张智 自动化学报 50 (4), 771-789, 2024 | | 2024 |
sheng-hua zhongAssociate Professor, Shenzhen UniversityDirección de correo verificada de szu.edu.cn
