Guoqiu Wen

According to our database1, Guoqiu Wen authored at least 28 papers between 2014 and 2021.

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



In proceedings 
PhD thesis 




One-step spectral rotation clustering for imbalanced high-dimensional data.
Inf. Process. Manag., 2021

Unsupervised feature selection by self-paced learning regularization.
Pattern Recognit. Lett., 2020

Self-paced Learning for <i>K</i>-means Clustering Algorithm.
Pattern Recognit. Lett., 2020

One-step spectral clustering based on self-paced learning.
Pattern Recognit. Lett., 2020

Supervised feature selection by self-paced learning regression.
Pattern Recognit. Lett., 2020

Using Locality Preserving Projections to Improve the Performance of Kernel Clustering.
Neural Process. Lett., 2020

Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection.
Neural Process. Lett., 2020

An Efficient Algorithm Combining Spectral Clustering with Feature Selection.
Neural Process. Lett., 2020

Spectral clustering algorithm combining local covariance matrix with normalization.
Neural Comput. Appl., 2020

Spectral representation learning for one-step spectral rotation clustering.
Neurocomputing, 2020

Robust self-tuning spectral clustering.
Neurocomputing, 2020

Double weighted K-nearest voting for label aggregation in crowdsourcing learning.
Multim. Tools Appl., 2019

Exclusive feature selection and multi-view learning for Alzheimer's Disease.
J. Vis. Commun. Image Represent., 2019

基于核函数的稀疏属性选择算法 (Sparse Feature Selection Algorithm Based on Kernel Function).
计算机科学, 2019

A Clustering Algorithm via Kernel Function and Locality Preserving Projections.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Self-tuning clustering for high-dimensional data.
World Wide Web, 2018

Adaptive structure learning for low-rank supervised feature selection.
Pattern Recognit. Lett., 2018

Double sparse-representation feature selection algorithm for classification.
Multim. Tools Appl., 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

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

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

A novel low-rank hypergraph feature selection for multi-view classification.
Neurocomputing, 2017

Robust Features Selection via Structure Learning and Multiple Subspace Learning.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Soft coverings and their parameter reductions.
Appl. Soft Comput., 2015

An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis.
Artif. Intell. Medicine, 2015

A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis.
Comput. Math. Methods Medicine, 2014