| EEG-based emotion recognition using simple recurrent units network and ensemble learning C Wei, L Chen, Z Song, X Lou, D Li Biomedical signal processing and control 58, 101756, 2020 | 155 | 2020 |
| Entropy-based fuzzy support vector machine for imbalanced datasets Q Fan, Z Wang, D Li, D Gao, H Zha Knowledge-Based Systems 115, 87-99, 2017 | 151 | 2017 |
| Geometric structural ensemble learning for imbalanced problems Z Zhu, Z Wang, D Li, Y Zhu, W Du IEEE transactions on cybernetics 50 (4), 1617-1629, 2018 | 115 | 2018 |
| Speech emotion recognition using recurrent neural networks with directional self-attention D Li, J Liu, Z Yang, L Sun, Z Wang Expert Systems with Applications 173, 114683, 2021 | 104 | 2021 |
| Masc: A speech corpus in mandarin for emotion analysis and affective speaker recognition T Wu, Y Yang, Z Wu, D Li 2006 IEEE odyssey-the speaker and language recognition workshop, 1-5, 2006 | 68 | 2006 |
| Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data H Yang, R Chen, D Li, Z Wang Bioinformatics 37 (16), 2231-2237, 2021 | 59 | 2021 |
| Exploiting the potentialities of features for speech emotion recognition D Li, Y Zhou, Z Wang, D Gao Information Sciences 548, 328-343, 2021 | 41 | 2021 |
| Collaborative and geometric multi-kernel learning for multi-class classification Z Wang, Z Zhu, D Li Pattern Recognition 99, 107050, 2020 | 41 | 2020 |
| Emotion-state conversion for speaker recognition D Li, Y Yang, Z Wu, T Wu Affective Computing and Intelligent Interaction: First International …, 2005 | 40 | 2005 |
| Spatial-frequency convolutional self-attention network for EEG emotion recognition D Li, L Xie, B Chai, Z Wang, H Yang Applied Soft Computing 122, 108740, 2022 | 39 | 2022 |
| Feature rearrangement based deep learning system for predicting heart failure mortality Z Wang, Y Zhu, D Li, Y Yin, J Zhang Computer methods and programs in biomedicine 191, 105383, 2020 | 39 | 2020 |
| Object semantics sentiment correlation analysis enhanced image sentiment classification J Zhang, M Chen, H Sun, D Li, Z Wang Knowledge-Based Systems 191, 105245, 2020 | 36 | 2020 |
| FLDNet: Frame-level distilling neural network for EEG emotion recognition Z Wang, T Gu, Y Zhu, D Li, H Yang, W Du IEEE Journal of Biomedical and Health Informatics 25 (7), 2533-2544, 2021 | 35 | 2021 |
| Information entropy based sample reduction for support vector data description DD Li, Z Wang, C Cao, Y Liu Applied Soft Computing 71, 1153-1160, 2018 | 33 | 2018 |
| Semantic supplementary network with prior information for multi-label image classification Z Wang, Z Fang, D Li, H Yang, W Du IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 1848-1859, 2021 | 28 | 2021 |
| Rules based feature modification for affective speaker recognition Z Wu, D Li, Y Yang 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 27 | 2006 |
| EEG emotion recognition based on 3-D feature representation and dilated fully convolutional networks D Li, B Chai, Z Wang, H Yang, W Du IEEE Transactions on Cognitive and Developmental Systems 13 (4), 885-897, 2021 | 26 | 2021 |
| Learning to capture the query distribution for few-shot learning Z Chi, Z Wang, M Yang, D Li, W Du IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4163-4173, 2021 | 24 | 2021 |
| Geometric imbalanced deep learning with feature scaling and boundary sample mining Z Wang, Q Dong, W Guo, D Li, J Zhang, W Du Pattern Recognition 126, 108564, 2022 | 21 | 2022 |
| BLSTM and CNN stacking architecture for speech emotion recognition D Li, L Sun, X Xu, Z Wang, J Zhang, W Du Neural Processing Letters 53 (6), 4097-4115, 2021 | 21 | 2021 |
Zhe WangProfessor of Computer Science & Engineering, East China University of Science & TechnologyVerified email at ecust.edu.cn
