| Trace ratio vs. ratio trace for dimensionality reduction H Wang, S Yan, D Xu, X Tang, T Huang Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-8, 2007 | 327 | 2007 |
| Semi-supervised Learning by Sparse Representation. S Yan, H Wang SDM, 792-801, 2009 | 299 | 2009 |
| Exact Recovery of Sparsely-Used Dictionaries DA Spielman, H Wang, J Wright Arxiv preprint arXiv:1206.5882, 2012 | 248 | 2012 |
| Learning auto-structured regressor from uncertain nonnegative labels S Yan, H Wang, X Tang, TS Huang Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8, 2007 | 189 | 2007 |
| Ranking with uncertain labels S Yan, H Wang, TS Huang, Q Yang, X Tang Multimedia and Expo, 2007 IEEE International Conference on, 96-99, 2007 | 136 | 2007 |
| Synchronized submanifold embedding for person-independent pose estimation and beyond S Yan, H Wang, Y Fu, J Yan, X Tang, TS Huang Image Processing, IEEE Transactions on 18 (1), 202-210, 2009 | 85 | 2009 |
| Misalignment-robust face recognition S Yan, H Wang, J Liu, X Tang, TS Huang Image Processing, IEEE Transactions on 19 (4), 1087-1096, 2010 | 73 | 2010 |
| Exploring Feature Descritors for Face Recognition S Yan, H Wang, X Tang, T Huang Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007 | 57 | 2007 |
| Regression from uncertain labels and its applications to soft biometrics S Yan, H Wang, X Tang, J Liu, TS Huang Information Forensics and Security, IEEE Transactions on 3 (4), 698-708, 2008 | 27 | 2008 |
| A convergent solution to tensor subspace learning H Wang, S Yan, T Huang, X Tang Proc. IJCAI’07, 2007 | 25 | 2007 |
| Identifying Generalization Properties in Neural Networks H Wang, NS Keskar, C Xiong, R Socher arXiv preprint arXiv:1809.07402, 2018 | 22 | 2018 |
| Correspondence propagation with weak priors H Wang, S Yan, J Liu, X Tang, TS Huang Image Processing, IEEE Transactions on 18 (1), 140-150, 2009 | 17 | 2009 |
| Mode-kn factor analysis for image ensembles S Yan, H Wang, J Tu, X Tang, TS Huang Image Processing, IEEE Transactions on 18 (3), 670-676, 2009 | 15 | 2009 |
| Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models L Liu, H Wang, J Lin, R Socher, C Xiong arXiv preprint arXiv:1911.03588, 2019 | 14 | 2019 |
| Adaptive Dropout with Rademacher Complexity Regularization K Zhai, H Wang | 12 | 2018 |
| Maximum unfolded embedding: formulation, solution, and application for image clustering H Wang, S Yan, T Huang, X Tang Proceedings of the 14th annual ACM international conference on Multimedia, 45-48, 2006 | 11 | 2006 |
| Transductive regression piloted by inter-manifold relations H Wang, S Yan, T Huang, J Liu, X Tang Proceedings of the 24th international conference on Machine learning, 967-974, 2007 | 10 | 2007 |
| Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width Y Bai, B Krause, H Wang, C Xiong, R Socher arXiv preprint arXiv:2002.04010, 2020 | 8 | 2020 |
| Auto-structured regressor from uncertain labels S Yan, H Wang, T Huang, X Tang International Conference on Computer Vision, 2007 | 8 | 2007 |
| On the Generalization Gap in Reparameterizable Reinforcement Learning H Wang, S Zheng, C Xiong, R Socher arXiv preprint arXiv:1905.12654, 2019 | 7 | 2019 |
Shuicheng Yan @ Sea AI Labs (SAIL)Group Chief Scientist, SEA；NUSVerified email at sea.com
