Wei He

According to our database1, Wei He authored at least 12 papers between 2016 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019

2017
Spectral clustering based on hypergraph and self-re-presentation.
Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.
Multim. Tools Appl., 2017

Low-rank unsupervised graph feature selection via feature self-representation.
Multim. Tools Appl., 2017

Graph self-representation method for unsupervised feature selection.
Neurocomputing, 2017

Self-representation dimensionality reduction for multi-model classification.
Neurocomputing, 2017

Unsupervised feature selection for visual classification via feature-representation property.
Neurocomputing, 2017

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.
Neurocomputing, 2017

Adaptive Hypergraph Learning for Unsupervised Feature Selection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016


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