| Dropedge: Towards deep graph convolutional networks on node classification Y Rong, W Huang, T Xu, J Huang ICLR 2020 (arXiv preprint arXiv:1907.10903), 2019 | 1143 | 2019 |
| Adaptive graph convolutional neural networks R Li, S Wang, F Zhu, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 745 | 2018 |
| Robust visual tracking using local sparse appearance model and k-selection B Liu, J Huang, C Kulikowski, L Yang IEEE transactions on pattern analysis and machine intelligence 35 (12), 2968 …, 2012 | 743 | 2012 |
| Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu NeurIPS 2018 (arXiv preprint arXiv:1810.11809), 2018 | 658 | 2018 |
| Learning with structured sparsity J Huang, T Zhang, D Metaxas Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 649 | 2009 |
| The benefit of group sparsity J Huang, T Zhang The Annals of Statistics 38 (4), 1978-2004, 2010 | 617 | 2010 |
| Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 505 | 2015 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang NeurIPS 2018 (arXiv preprint arXiv:1809.05343), 2018 | 487 | 2018 |
| Graph convolutional networks for temporal action localization R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 464 | 2019 |
| Self-supervised graph transformer on large-scale molecular data Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang Advances in Neural Information Processing Systems 33, 12559-12571, 2020 | 458 | 2020 |
| Learning active facial patches for expression analysis L Zhong, Q Liu, P Yang, B Liu, J Huang, DN Metaxas 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2562-2569, 2012 | 448 | 2012 |
| Intra-protein binding peptide fragments have specific and intrinsic sequence patterns Y Wang, J Huang, W Li, S Wang, C Ding arXiv preprint arXiv:1702.08078, 2017 | 441 | 2017 |
| Rumor detection on social media with bi-directional graph convolutional networks T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020 | 426 | 2020 |
| Graph representation learning via graphical mutual information maximization Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang Proceedings of The Web Conference 2020, 259-270, 2020 | 422 | 2020 |
| Progressive feature alignment for unsupervised domain adaptation C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 397 | 2019 |
| Efficient MR image reconstruction for compressed MR imaging J Huang, S Zhang, D Metaxas Medical Image Analysis 15 (5), 670-679, 2011 | 374 | 2011 |
| Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model X Yu, J Huang, S Zhang, W Yan, DN Metaxas Proceedings of the IEEE international conference on computer vision, 1944-1951, 2013 | 321 | 2013 |
| Towards robust and effective shape modeling: Sparse shape composition S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou Medical image analysis 16 (1), 265-277, 2012 | 292 | 2012 |
| Early triage of critically ill COVID-19 patients using deep learning W Liang, J Yao, A Chen, Q Lv, M Zanin, J Liu, SS Wong, Y Li, J Lu, ... Nature communications 11 (1), 3543, 2020 | 282 | 2020 |
| Robust and fast collaborative tracking with two stage sparse optimization B Liu, L Yang, J Huang, P Meer, L Gong, C Kulikowski Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 279 | 2010 |
Yu RongTencent AI LabVerified email at tencent.com
