| A survey on ensemble learning X Dong, Z Yu, W Cao, Y Shi, Q Ma Frontiers of Computer Science 14, 241-258, 2020 | 1742 | 2020 |
| Hybrid classifier ensemble for imbalanced data K Yang, Z Yu, X Wen, W Cao, CLP Chen, HS Wong, J You IEEE transactions on neural networks and learning systems 31 (4), 1387-1400, 2019 | 120 | 2019 |
| Incremental weighted ensemble broad learning system for imbalanced data K Yang, Z Yu, CLP Chen, W Cao, J You, HS Wong IEEE Transactions on Knowledge and Data Engineering 34 (12), 5809-5824, 2021 | 90 | 2021 |
| Simplified unsupervised image translation for semantic segmentation adaptation R Li, W Cao, Q Jiao, S Wu, HS Wong Pattern Recognition 105, 107343, 2020 | 74 | 2020 |
| Fast and effective active clustering ensemble based on density peak Y Shi, Z Yu, W Cao, CLP Chen, HS Wong, G Han IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3593-3607, 2020 | 36 | 2020 |
| Progressive hybrid classifier ensemble for imbalanced data K Yang, Z Yu, CLP Chen, W Cao, HS Wong, J You, G Han IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2464-2478, 2021 | 33 | 2021 |
| Gan-based enhanced deep subspace clustering networks Z Yu, Z Zhang, W Cao, C Liu, CLP Chen, HS Wong IEEE Transactions on Knowledge and Data Engineering 34 (7), 3267-3281, 2020 | 32 | 2020 |
| Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data C Liu, W Cao, S Wu, W Shen, D Jiang, Z Yu, HS Wong IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020 | 32 | 2020 |
| Generating target image-label pairs for unsupervised domain adaptation R Li, W Cao, S Wu, HS Wong IEEE Transactions on Image Processing 29, 7997-8011, 2020 | 30 | 2020 |
| Unsupervised discriminative feature learning via finding a clustering-friendly embedding space W Cao, Z Zhang, C Liu, R Li, Q Jiao, Z Yu, HS Wong Pattern Recognition 129, 108768, 2022 | 29 | 2022 |
| A novel classifier ensemble method based on subspace enhancement for high-dimensional data classification Y Xu, Z Yu, W Cao, CLP Chen IEEE Transactions on Knowledge and Data Engineering 35 (1), 16-30, 2021 | 28 | 2021 |
| Exploring correlations among tasks, clusters, and features for multitask clustering W Cao, S Wu, Z Yu, HS Wong IEEE transactions on neural networks and learning systems 30 (2), 355-368, 2018 | 27 | 2018 |
| The residual generator: An improved divergence minimization framework for GAN AT Gnanha, W Cao, X Mao, S Wu, HS Wong, Q Li Pattern Recognition 121, 108222, 2022 | 24 | 2022 |
| Adaptive classifier ensemble method based on spatial perception for high-dimensional data classification Y Xu, Z Yu, W Cao, CLP Chen, J You IEEE Transactions on Knowledge and Data Engineering 33 (7), 2847-2862, 2019 | 23 | 2019 |
| An inception convolutional autoencoder model for chinese healthcare question clustering D Dai, J Tang, Z Yu, HS Wong, J You, W Cao, Y Hu, CLP Chen IEEE transactions on cybernetics 51 (4), 2019 | 17 | 2019 |
| Semisupervised classification with novel graph construction for high-dimensional data Z Yu, F Ye, K Yang, W Cao, CLP Chen, L Cheng, J You, HS Wong IEEE Transactions on Neural Networks and Learning Systems 33 (1), 75-88, 2020 | 15 | 2020 |
| Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. S Qian, G Li, WM Cao, C Liu, S Wu, HS Wong IJCAI, 3268-3274, 2019 | 15 | 2019 |
| Improving domain-specific classification by collaborative learning with adaptation networks S Wu, J Zhong, W Cao, R Li, Z Yu, HS Wong Proceedings of the AAAI conference on artificial intelligence 33 (01), 5450-5457, 2019 | 15 | 2019 |
| Unsupervised multi-task learning with hierarchical data structure W Cao, S Qian, S Wu, HS Wong Pattern Recognition 86, 248-264, 2019 | 15 | 2019 |
| DDAT: Dual domain adaptive translation for low-resolution face verification in the wild Q Jiao, R Li, W Cao, J Zhong, S Wu, HS Wong Pattern Recognition 120, 108107, 2021 | 14 | 2021 |
Zhiwen Yu (余志文)Professor, South China University of Technology (华南理工大学教授、博导)scut.edu.cn의 이메일 확인됨
