A survey on ensemble learning X Dong, Z Yu, W Cao, Y Shi, Q Ma Frontiers of Computer Science 14, 241-258, 2020 | 1211 | 2020 |
Model adaptation: Unsupervised domain adaptation without source data R Li, Q Jiao, W Cao, HS Wong, S Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 491 | 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, 2019 | 94 | 2019 |
Simplified unsupervised image translation for semantic segmentation adaptation R Li, W Cao, Q Jiao, S Wu, HS Wong Pattern Recognition 105, 107343, 2020 | 64 | 2020 |
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 | 55 | 2021 |
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 | 29 | 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, 2022 | 28 | 2022 |
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 |
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 | 26 | 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 | 23 | 2021 |
GAN-based Enhanced Deep Subspace Clustering Networks Z Yu, Z Zhang, W Cao, C Liu, JP Chen, H San Wong IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020 | 21 | 2020 |
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 | 17 | 2019 |
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 | 16 | 2022 |
Unsupervised multi-task learning with hierarchical data structure W Cao, S Qian, S Wu, HS Wong Pattern Recognition 86, 248-264, 2019 | 16 | 2019 |
An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering D Dai, J Tang, Z Yu, HS Wong, J You, W Cao, H Yu, CLP Chen IEEE Transactions on Cybernetics, 2019 | 16 | 2019 |
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks S Wu, J Zhong, W Cao, R Li, Z Yu, HS Wong AAAI-19: Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 16 | 2019 |
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 | 15 | 2021 |
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 | 13 | 2021 |
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations S Qian, G Li, WM Cao, C Liu, S Wu, HS Wong 2019 International Joint Conference on Artificial Intelligence, 2019 | 12 | 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 | 11 | 2020 |