Yan Zhang

According to our database1, Yan Zhang authored at least 12 papers between 2016 and 2020.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation.
IEEE Trans. Knowl. Data Eng., 2020

Deep Self-representative Concept Factorization Network for Representation Learning.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation.
IEEE Trans. Knowl. Data Eng., 2019

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.
CoRR, 2019

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.
Pattern Recognit., 2018

2017
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognit., 2017

2016
Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust Soft Semi-supervised Discriminant Projection for Feature Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016


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