| A deep learning framework for Hybrid Heterogeneous Transfer Learning JT Zhou, SJ Pan, IW Tsang Artificial Intelligence, 2019 | 92* | 2019 |
| Multi-class Heterogeneous Domain Adaptation. JT Zhou, IW Tsang, SJ Pan, M Tan Journal of Machine Learning Research 20 (57), 1-31, 2019 | 83* | 2019 |
| Transfer hashing: From shallow to deep JT Zhou, H Zhao, X Peng, M Fang, Z Qin, RSM Goh IEEE Transactions on Neural Networks and Learning Systems, 2018 | 70* | 2018 |
| Structured autoencoders for subspace clustering X Peng, J Feng, S Xiao, WY Yau, JT Zhou, S Yang IEEE Transactions on Image Processing 27 (10), 5076-5086, 2018 | 51 | 2018 |
| Exploit bounding box annotations for multi-label object recognition H Yang, J Tianyi Zhou, Y Zhang, BB Gao, J Wu, J Cai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 50 | 2016 |
| Feature disentangling machine-a novel approach of feature selection and disentangling in facial expression analysis P Liu, JT Zhou, IWH Tsang, Z Meng, S Han, Y Tong European Conference on Computer Vision, 151-166, 2014 | 42 | 2014 |
| Transfer learning for cross-language text categorization through active correspondences construction JT Zhou, SJ Pan, IW Tsang, SS Ho Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 31 | 2016 |
| Multiple marginal Fisher analysis Z Huang, H Zhu, JT Zhou, X Peng IEEE Transactions on Industrial Electronics, 2018 | 19 | 2018 |
| Improving multi-label learning with missing labels by structured semantic correlations H Yang, JT Zhou, J Cai European conference on computer vision, 835-851, 2016 | 19 | 2016 |
| Miml-fcn+: Multi-instance multi-label learning via fully convolutional networks with privileged information H Yang, J Tianyi Zhou, J Cai, Y Soon Ong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 17 | 2017 |
| Multi-view positive and unlabeled learning JT Zhou, SJ Pan, Q Mao, IW Tsang Journal of Machine Learning Research, 2012 | 16 | 2012 |
| Who likes What, and Why? Insights into Personality Modeling based on ImageLikes' S Guntuku, J Zhou, S Roy, W Lin, W Tsang IEEE Transactions on Affective Computing, 2016 | 13 | 2016 |
| SC2Net: Sparse LSTMs for sparse coding JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, IW Tsang, Y Liu, Z Qin, ... Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 12 | 2018 |
| N-ary decomposition for multi-class classification JT Zhou, IW Tsang, SS Ho, KR Müller Machine Learning, 1-22, 2019 | 11* | 2019 |
| Can partial strong labels boost multi-label object recognition H Yang, JT Zhou, Y Zhang, BB Gao, J Wu, J Cai arXiv preprint arXiv:1504.05843 2, 2015 | 10 | 2015 |
| Understanding deep representations learned in modeling users likes SC Guntuku, JT Zhou, S Roy, W Lin, IW Tsang IEEE Transactions on Image Processing 25 (8), 3762-3774, 2016 | 8 | 2016 |
| Towards good practices on building effective CNN baseline model for person re-identification F Xiong, Y Xiao, Z Cao, K Gong, Z Fang, JT Zhou arXiv preprint arXiv:1807.11042, 2018 | 7 | 2018 |
| Learning with annotation of various degrees JT Zhou, M Fang, H Zhang, C Gong, X Peng, Z Cao, RSM Goh IEEE transactions on neural networks and learning systems, 2019 | 6 | 2019 |
| Simple and efficient learning using privileged information X Xu, JT Zhou, IW Tsang, Z Qin, RSM Goh, Y Liu arXiv preprint arXiv:1604.01518, 2016 | 6 | 2016 |
| Action recognition for depth video using multi-view dynamic images Y Xiao, J Chen, Y Wang, Z Cao, JT Zhou, X Bai Information Sciences 480, 287-304, 2019 | 5 | 2019 |