| 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 | 484 | 2020 |
| Incremental semi-supervised clustering ensemble for high dimensional data clustering Z Yu, P Luo, J You, HS Wong, H Leung, S Wu, J Zhang, G Han IEEE Transactions on Knowledge and Data Engineering 28 (3), 701-714, 2015 | 203 | 2015 |
| Adaptive activation functions in convolutional neural networks S Qian, H Liu, C Liu, S Wu, H San Wong Neurocomputing 272, 204-212, 2018 | 182 | 2018 |
| A Bayesian model for crowd escape behavior detection S Wu, HS Wong, Z Yu IEEE transactions on circuits and systems for video technology 24 (1), 85-98, 2013 | 122 | 2013 |
| Somatic point mutations occurring early in development: a monozygotic twin study R Li, A Montpetit, M Rousseau, SYM Wu, CMT Greenwood, TD Spector, ... Journal of medical genetics 51 (1), 28-34, 2014 | 93 | 2014 |
| Automatic detection and analysis of player action in moving background sports video sequences H Li, J Tang, S Wu, Y Zhang, S Lin IEEE transactions on circuits and systems for video technology 20 (3), 351-364, 2009 | 90 | 2009 |
| Simplified unsupervised image translation for semantic segmentation adaptation R Li, W Cao, Q Jiao, S Wu, HS Wong Pattern Recognition 105, 107343, 2020 | 62 | 2020 |
| Crowd motion partitioning in a scattered motion field S Wu, H San Wong IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 58 | 2012 |
| Progressive subspace ensemble learning Z Yu, D Wang, J You, HS Wong, S Wu, J Zhang, G Han Pattern Recognition 60, 692-705, 2016 | 57 | 2016 |
| Multiobjective semisupervised classifier ensemble Z Yu, Y Zhang, CLP Chen, J You, HS Wong, D Dai, S Wu, J Zhang IEEE transactions on cybernetics 49 (6), 2280-2293, 2018 | 40 | 2018 |
| Semi-supervised image classification with self-paced cross-task networks S Wu, Q Ji, S Wang, HS Wong, Z Yu, Y Xu IEEE Transactions on Multimedia 20 (4), 851-865, 2017 | 35 | 2017 |
| Mutual learning of complementary networks via residual correction for improving semi-supervised classification S Wu, J Li, C Liu, Z Yu, HS Wong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 34 | 2019 |
| Enhancing TripleGAN for semi-supervised conditional instance synthesis and classification S Wu, G Deng, J Li, R Li, Z Yu, HS Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 33 | 2019 |
| A fuzzy minimax clustering model and its applications X Li, HS Wong, S Wu Information Sciences 186 (1), 114-125, 2012 | 32 | 2012 |
| Adaptive hybrid feature selection-based classifier ensemble for epileptic seizure classification F Alzami, J Tang, Z Yu, S Wu, CLP Chen, J You, J Zhang IEEE access 6, 29132-29145, 2018 | 31 | 2018 |
| Improving pedestrian detection with selective gradient self-similarity feature S Wu, R Laganiere, P Payeur Pattern Recognition 48 (8), 2364-2376, 2015 | 29 | 2015 |
| Behavior regularized prototypical networks for semi-supervised few-shot image classification S Huang, X Zeng, S Wu, Z Yu, M Azzam, HS Wong Pattern Recognition 112, 107765, 2021 | 26 | 2021 |
| 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 |
| 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 | 26 | 2018 |
| Semi-supervised deep coupled ensemble learning with classification landmark exploration J Li, S Wu, C Liu, Z Yu, HS Wong IEEE Transactions on Image Processing 29, 538-550, 2019 | 25 | 2019 |
Hau-San WongProfessor, Department of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
