Jun Li

According to our database1, Jun Li authored at least 23 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning.
IEEE Trans. Multimedia, 2019

Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying.
IEEE Trans. Image Processing, 2019

2018
Convolutional Sparse Autoencoders for Image Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.
IEEE Trans. Image Processing, 2018

Predictive Local Smoothness for Stochastic Gradient Methods.
CoRR, 2018

Robust Lifelong Multi-task Multi-view Representation Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Sparseness Analysis in the Pretraining of Deep Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2017

Deeply Learned View-Invariant Features for Cross-View Action Recognition.
IEEE Trans. Image Processing, 2017

Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.
CoRR, 2017

Sparse Subspace Clustering by Learning Approximation ℓ0 Codes.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Fast Low-Rank Projection for Image Classification.
IEEE Trans. Image Processing, 2016

Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Object segmentation using low-rank representation with multiple block-diagonal priors.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Higher-level feature combination via multiple kernel learning for image classification.
Neurocomputing, 2015

Sparse Deep Stacking Network for Image Classification.
CoRR, 2015

Learning Sparse Features in Convolutional Neural Networks for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Sparse Deep Stacking Network for Image Classification.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Continuous attractors of higher-order recurrent neural networks with infinite neurons.
Neurocomputing, 2014

Learning discriminative low-rank representation for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Why does the unsupervised pretraining encourage moderate-sparseness?
CoRR, 2013

2012
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix.
Neurocomputing, 2012

Continuous attractors of recurrent neural networks with complex-valued weights.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012


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