Cong-Zhe You

Orcid: 0000-0003-0906-7888

According to our database1, Cong-Zhe You authored at least 18 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Dual local learning regularized NMF with sparse and orthogonal constraints.
Appl. Intell., April, 2023

2022
Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation.
Neural Process. Lett., 2022

Robust Generalized Labeled Multi-Bernoulli Filter and Smoother for Multiple Target Tracking using Variational Bayesian.
KSII Trans. Internet Inf. Syst., 2022

Intrusion detection system combined enhanced random forest with SMOTE algorithm.
EURASIP J. Adv. Signal Process., 2022

Correntropy-based dual graph regularized nonnegative matrix factorization with L<sub>p</sub> smoothness for data representation.
Appl. Intell., 2022

2021
Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering.
Neural Comput. Appl., 2021

Deep semi-nonnegative matrix factorization with elastic preserving for data representation.
Multim. Tools Appl., 2021

2020
Rank-constrained nonnegative matrix factorization for data representation.
Inf. Sci., 2020

Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation.
IEEE Access, 2020

Locally Consistent Constrained Concept Factorization with L<sub>p</sub> Smoothness for Image Representation.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019
Robust structure low-rank representation in latent space.
Eng. Appl. Artif. Intell., 2019

The Optimal Graph Regularized Sparse Coding with Application to Image Representation.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Concept Factorization with Optimal Graph Learning for Data Representation.
Proceedings of the Image and Graphics - 10th International Conference, 2019

2018
Robust Structured Low-Rank Representation for Image Segmentation.
Int. J. Artif. Intell. Tools, 2018

Feature selection embedded subspace clustering with low-rank and locality constraints.
Proceedings of the IEEE International Smart Cities Conference, 2018

2016
Combining graph embedding and sparse regression with structure low-rank representation for semi-supervised learning.
Complex Adapt. Syst. Model., 2016

Manifold locality constrained low-rank representation and its applications.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Graph Regularized Structured Sparse Subspace Clustering.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015


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