Jun Li
Title
Cited by
Cited by
Year
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
612016
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
582017
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
472017
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
452016
Sparse deep stacking network for image classification
J Li, H Chang, J Yang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
422015
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
402018
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
372017
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
332018
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
302016
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
242019
Clustering with outlier removal
H Liu, J Li, Y Wu, Y Fu
IEEE transactions on knowledge and data engineering, 2019
192019
Adversarial metric learning
S Chen, C Gong, J Yang, X Li, Y Wei, J Li
arXiv preprint arXiv:1802.03170, 2018
192018
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
192017
Projective low-rank subspace clustering via learning deep encoder
J Li, H Liu
IJCAI, 2017
152017
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
132010
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
132009
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
122017
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
122015
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
122008
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
92018
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Articles 1–20