| Random erasing data augmentation Z Zhong, L Zheng, G Kang, S Li, Y Yang arXiv preprint arXiv:1708.04896, 2017 | 293 | 2017 |
| Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 154 | 2018 |
| Multi-modal curriculum learning for semi-supervised image classification C Gong, D Tao, SJ Maybank, W Liu, G Kang, J Yang IEEE Transactions on Image Processing 25 (7), 3249-3260, 2016 | 112 | 2016 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang arXiv preprint arXiv:1808.06866, 2018 | 63 | 2018 |
| Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization G Kang, L Zheng, Y Yan, Y Yang Proceedings of the European Conference on Computer Vision (ECCV), 401-416, 2018 | 36 | 2018 |
| Shakeout: A new regularized deep neural network training scheme G Kang, J Li, D Tao Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 32 | 2016 |
| Self-produced guidance for weakly-supervised object localization X Zhang, Y Wei, G Kang, Y Yang, T Huang Proceedings of the European Conference on Computer Vision (ECCV), 597-613, 2018 | 31 | 2018 |
| Shakeout: A new approach to regularized deep neural network training G Kang, J Li, D Tao IEEE transactions on pattern analysis and machine intelligence 40 (5), 1245-1258, 2017 | 18 | 2017 |
| Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 14 | 2019 |
| Eraserelu: A simple way to ease the training of deep convolution neural networks X Dong, G Kang, K Zhan, Y Yang arXiv preprint arXiv:1709.07634, 2017 | 13 | 2017 |
| Patchshuffle regularization G Kang, X Dong, L Zheng, Y Yang arXiv preprint arXiv:1707.07103, 2017 | 8 | 2017 |
| Progressive deep neural networks acceleration via soft filter pruning Y He, X Dong, G Kang, Y Fu, Y Yang arXiv preprint arXiv:1808.07471, 2018 | 5 | 2018 |
| Multi-Interest Network with Dynamic Routing for Recommendation at Tmall C Li, Z Liu, M Wu, Y Xu, H Zhao, P Huang, G Kang, Q Chen, W Li, DL Lee Proceedings of the 28th ACM International Conference on Information and …, 2019 | 1 | 2019 |
| Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment PY Huang, G Kang, W Liu, X Chang, AG Hauptmann Proceedings of the 27th ACM International Conference on Multimedia, 1758-1767, 2019 | | 2019 |
| Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang IEEE transactions on cybernetics, 2019 | | 2019 |
| Attract or Distract: Exploit the Margin of Open Set Q Feng, G Kang, H Fan, Y Yang Proceedings of the IEEE International Conference on Computer Vision, 7990-7999, 2019 | | 2019 |
| Regularization in deep neural networks G Kang | | 2019 |
| MMVG-INF-Etrol@ TRECVID 2019: Activities in Extended Video X Chang, W Liu, PY Huang, C Li, F Zhu, M Han, M Li, M Ma, S Hu, G Kang, ... | | |
