| Multi-class support vector machine Z Wang, X Xue Support Vector Machines Applications, 23-48, 2014 | 177 | 2014 |
| 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 | 172 | 2017 |
| MultiK-MHKS: a novel multiple kernel learning algorithm Z Wang, S Chen, T Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2), 348-353, 2007 | 136 | 2007 |
| 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 | 131 | 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 | 129 | 2021 |
| 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 | 100 | 2021 |
| Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems Z Wang, C Cao, Y Zhu IEEE transactions on neural networks and learning systems 31 (12), 5178-5191, 2020 | 97 | 2020 |
| New least squares support vector machines based on matrix patterns Z Wang, S Chen Neural processing letters 26, 41-56, 2007 | 84 | 2007 |
| WaveGAN: Frequency-aware GAN for high-fidelity few-shot image generation M Yang, Z Wang, Z Chi, W Feng European Conference on Computer Vision, 1-17, 2022 | 67 | 2022 |
| 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 | 67 | 2022 |
| A simplified multi-class support vector machine with reduced dual optimization X He, Z Wang, C Jin, Y Zheng, X Xue Pattern Recognition Letters 33 (1), 71-82, 2012 | 65 | 2012 |
| Pattern representation in feature extraction and classifier design: matrix versus vector Z Wang, S Chen, J Liu, D Zhang IEEE Transactions on Neural Networks 19 (5), 758-769, 2008 | 59 | 2008 |
| 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 | 52 | 2020 |
| IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems C Cao, Z Wang Knowledge-Based Systems 150, 27-37, 2018 | 52 | 2018 |
| Exploiting the potentialities of features for speech emotion recognition D Li, Y Zhou, Z Wang, D Gao Information Sciences 548, 328-343, 2021 | 49 | 2021 |
| Entropy-based matrix learning machine for imbalanced data sets C Zhu, Z Wang Pattern Recognition Letters 88, 72-80, 2017 | 49 | 2017 |
| Matrix-pattern-oriented Ho–Kashyap classifier with regularization learning S Chen, Z Wang, Y Tian Pattern Recognition 40 (5), 1533-1543, 2007 | 49 | 2007 |
| A novel multi-view learning developed from single-view patterns Z Wang, S Chen, D Gao Pattern Recognition 44 (10-11), 2395-2413, 2011 | 48 | 2011 |
| Gravitational fixed radius nearest neighbor for imbalanced problem DG Yujin Zhu, Zhe Wang Knowledge-Based Systems 90, 224-238, 2015 | 47 | 2015 |
| Variable Population Memetic Search: A Case Study on the Critical Node Problem Y Zhou, JK Hao, ZH Fu, Z Wang, X Lai IEEE Transactions on Evolutionary Computation 25 (1), 187-200, 2020 | 46 | 2020 |
Li DongdongEast China University of Science & TechnologyZweryfikowany adres z ecust.edu.cn