| Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning Y Wu, Y Lin, X Dong, Y Yan, W Ouyang, Y Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 452 | 2018 |
| Style aggregated network for facial landmark detection X Dong, Y Yan, W Ouyang, Y Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 400 | 2018 |
| Progressive learning for person re-identification with one example Y Wu, Y Lin, X Dong, Y Yan, W Bian, Y Yang IEEE Transactions on Image Processing 28 (6), 2872-2881, 2019 | 232 | 2019 |
| Hybrid heterogeneous transfer learning through deep learning J Zhou, S Pan, I Tsang, Y Yan Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 223 | 2014 |
| Semisupervised feature selection via spline regression for video semantic recognition Y Han, Y Yang, Y Yan, Z Ma, N Sebe, X Zhou IEEE Transactions on Neural Networks and Learning Systems 26 (2), 252-264, 2014 | 220 | 2014 |
| Large-scale robust deep auc maximization: A new surrogate loss and empirical studies on medical image classification Z Yuan, Y Yan, M Sonka, T Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 169 | 2021 |
| Image classification by cross-media active learning with privileged information Y Yan, F Nie, W Li, C Gao, Y Yang, D Xu IEEE Transactions on Multimedia 18 (12), 2494-2502, 2016 | 162 | 2016 |
| 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 | 159 | 2018 |
| A unified analysis of stochastic momentum methods for deep learning Y Yan, T Yang, Z Li, Q Lin, Y Yang arXiv preprint arXiv:1808.10396, 2018 | 127 | 2018 |
| Machine learning Fundamentals Y Yan Machine Learning in Chemical Safety and Health: Fundamentals with …, 2022 | 105 | 2022 |
| Optimal epoch stochastic gradient descent ascent methods for min-max optimization Y Yan, Y Xu, Q Lin, W Liu, T Yang Advances in Neural Information Processing Systems 33, 5789-5800, 2020 | 66 | 2020 |
| Stagewise training accelerates convergence of testing error over sgd Z Yuan, Y Yan, R Jin, T Yang Advances in Neural Information Processing Systems 32, 2019 | 65 | 2019 |
| Robust semi-supervised learning through label aggregation Y Yan, Z Xu, I Tsang, G Long, Y Yang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 65 | 2016 |
| Multi-level visual-semantic alignments with relation-wise dual attention network for image and text matching. Z Hu, Y Luo, J Lin, Y Yan, J Chen IJCAI, 789-795, 2019 | 61 | 2019 |
| Graph-based clustering and ranking for diversified image search Y Yan, G Liu, S Wang, J Zhang, K Zheng Multimedia Systems 23, 41-52, 2017 | 45 | 2017 |
| Late fusion via subspace search with consistency preservation X Dong, Y Yan, M Tan, Y Yang, IW Tsang IEEE Transactions on Image Processing 28 (1), 518-528, 2018 | 38 | 2018 |
| Multiple graph unsupervised feature selection X Du, Y Yan, P Pan, G Long, L Zhao Signal Processing 120, 754-760, 2016 | 37 | 2016 |
| Stochastic Primal-Dual Algorithms with Faster Convergence than for Problems without Bilinear Structure Y Yan, Y Xu, Q Lin, L Zhang, T Yang arXiv preprint arXiv:1904.10112, 2019 | 33 | 2019 |
| A framework of online learning with imbalanced streaming data Y Yan, T Yang, Y Yang, J Chen Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 33 | 2017 |
| Dynamic time warping based adversarial framework for time-series domain T Belkhouja, Y Yan, JR Doppa IEEE transactions on pattern analysis and machine intelligence 45 (6), 7353-7366, 2022 | 29 | 2022 |
Yi YangZhejiang UniversityVerified email at zju.edu.cn