| Learning with Structured Sparsity. J Huang, T Zhang, D Metaxas Journal of Machine Learning Research 12 (11), 2011 | 633 | 2011 |
| Robust tracking using local sparse appearance model and k-selection B Liu, J Huang, L Yang, C Kulikowsk CVPR 2011, 1313-1320, 2011 | 584 | 2011 |
| The benefit of group sparsity J Huang, T Zhang The Annals of Statistics 38 (4), 1978-2004, 2010 | 508 | 2010 |
| 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 | 481 | 2019 |
| 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 | 464 | 2018 |
| Adaptive graph convolutional neural networks R Li, S Wang, F Zhu, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 421 | 2018 |
| 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 | 389 | 2012 |
| Efficient MR image reconstruction for compressed MR imaging J Huang, S Zhang, D Metaxas Medical Image Analysis 15 (5), 670-679, 2011 | 338 | 2011 |
| Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 329 | 2015 |
| 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 | 307 | 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 | 291 | 2012 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang NeurIPS 2018 (arXiv preprint arXiv:1809.05343), 2018 | 290 | 2018 |
| Robust and fast collaborative tracking with two stage sparse optimization B Liu, L Yang, J Huang, P Meer, L Gong, C Kulikowski European conference on computer vision, 624-637, 2010 | 275 | 2010 |
| 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 | 253 | 2019 |
| Automatic image annotation using group sparsity S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 236 | 2010 |
| 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 | 211 | 2019 |
| Learning with dynamic group sparsity J Huang, X Huang, D Metaxas 2009 IEEE 12th International Conference on Computer Vision, 64-71, 2009 | 196 | 2009 |
| A new iris segmentation method for recognition J Huang, Y Wang, T Tan, J Cui Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 195 | 2004 |
| End-to-end learning of motion representation for video understanding L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 176 | 2018 |
| Learning multiscale active facial patches for expression analysis L Zhong, Q Liu, P Yang, J Huang, DN Metaxas IEEE transactions on cybernetics 45 (8), 1499-1510, 2014 | 172 | 2014 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
