| Sparseness analysis in the pretraining of deep neural networks J Li, T Zhang, W Luo, J Yang, XT Yuan, J Zhang IEEE transactions on neural networks and learning systems 28 (6), 1425-1438, 2016 | 61 | 2016 |
| Convolutional sparse autoencoders for image classification W Luo, J Li, J Yang, W Xu, J Zhang IEEE transactions on neural networks and learning systems 29 (7), 3289-3294, 2017 | 58 | 2017 |
| Deeply learned view-invariant features for cross-view action recognition Y Kong, Z Ding, J Li, Y Fu IEEE Transactions on Image Processing 26 (6), 3028-3037, 2017 | 47 | 2017 |
| Deep convolutional neural network with independent softmax for large scale face recognition Y Wu, J Li, Y Kong, Y Fu Proceedings of the 24th ACM international conference on Multimedia, 1063-1067, 2016 | 45 | 2016 |
| Sparse deep stacking network for image classification J Li, H Chang, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 42 | 2015 |
| Hierarchical tracking by reinforcement learning-based searching and coarse-to-fine verifying B Zhong, B Bai, J Li, Y Zhang, Y Fu IEEE Transactions on Image Processing 28 (5), 2331-2341, 2018 | 40 | 2018 |
| Deep face recognition with center invariant loss Y Wu, H Liu, J Li, Y Fu Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 408-414, 2017 | 37 | 2017 |
| Deep alignment network based multi-person tracking with occlusion and motion reasoning Q Zhou, B Zhong, Y Zhang, J Li, Y Fu IEEE Transactions on Multimedia 21 (5), 1183-1194, 2018 | 33 | 2018 |
| Learning fast low-rank projection for image classification J Li, Y Kong, H Zhao, J Yang, Y Fu IEEE Transactions on Image Processing 25 (10), 4803-4814, 2016 | 30 | 2016 |
| Cross-X learning for fine-grained visual categorization W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 24 | 2019 |
| Clustering with outlier removal H Liu, J Li, Y Wu, Y Fu IEEE transactions on knowledge and data engineering, 2019 | 19 | 2019 |
| Adversarial metric learning S Chen, C Gong, J Yang, X Li, Y Wei, J Li arXiv preprint arXiv:1802.03170, 2018 | 19 | 2018 |
| Sparse subspace clustering by learning approximation ℓ0 codes J Li, Y Kong, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 19 | 2017 |
| Projective low-rank subspace clustering via learning deep encoder J Li, H Liu IJCAI, 2017 | 15 | 2017 |
| Delay-dependent stability criterion of arbitrary switched linear systems with time-varying delay J Li, W Wu, J Yuan, Q Tan, X Yin Discrete Dynamics in Nature and Society 2010, 2010 | 13 | 2010 |
| Stability analysis of discrete Hopfield neural networks with the nonnegative definite monotone increasing weight function matrix J Li, Y Diao, M Li, X Yin Discrete Dynamics in Nature and Society 2009, 2009 | 13 | 2009 |
| Visual representation and classification by learning group sparse deep stacking network J Li, H Chang, J Yang, W Luo, Y Fu IEEE Transactions on Image Processing 27 (1), 464-476, 2017 | 12 | 2017 |
| Higher-level feature combination via multiple kernel learning for image classification W Luo, J Yang, W Xu, J Li, J Zhang Neurocomputing 167, 209-217, 2015 | 12 | 2015 |
| Stability analysis of discrete Hopfield neural networks with weight function matrix J Li, Y Diao, J Mao, Y Zhang, X Yin International Symposium on Intelligence Computation and Applications, 760-768, 2008 | 12 | 2008 |
| Robust lifelong multi-task multi-view representation learning G Sun, Y Cong, J Li, Y Fu 2018 IEEE international conference on big knowledge (ICBK), 91-98, 2018 | 9 | 2018 |
Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
