Xiaofei Yang

Orcid: 0000-0002-8447-6430

Affiliations:
  • Xi'an Polytechnic University, School of Science, China
  • Shaanxi Normal University, China (PhD 2012)


According to our database1, Xiaofei Yang authored at least 22 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Analysis of adaptive optimal control theory for nonzero-sum stackelberg game based on high-order neural networks and conjugate gradient method.
Neurocomputing, 2026

2025
Multi-view clustering based on low-dimensional structure and global representation.
Pattern Anal. Appl., December, 2025

Ensemble clustering by block diagonal representation.
Clust. Comput., December, 2025

Multi-label feature selection based on logistic regression and random walk strategy.
Knowl. Inf. Syst., November, 2025

Multi-view unsupervised feature selection based on consensus indicator graph learning with adaptive similarity.
Clust. Comput., October, 2025

Uniform Residuated Lattices and their Cauchy Completions.
Order, August, 2025

Label sparse self-representation for multi-label learning with missing labels.
Appl. Intell., July, 2025

Partial multi-label feature selection based on label matrix decomposition.
Neural Comput. Appl., 2025

Convergence analysis of a novel high order networks model based on entropy error function.
Math. Comput. Simul., 2025

Coordinate descent for top-k multi-label feature selection with pseudo-label learning and manifold learning.
Neurocomputing, 2025

Pearson correlation coefficient-guided large-scale fuzzy cognitive maps learning algorithm.
Fuzzy Sets Syst., 2025

2024
Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function.
Appl. Intell., February, 2024

Efficient construction and convergence analysis of sparse convolutional neural networks.
Neurocomputing, 2024

A comprehensive framework for designing and learning fuzzy cognitive maps at the granular level.
Appl. Soft Comput., 2024

Multi-view Unsupervised Feature Selection Guided by Diversity and Consensus Structure.
Proceedings of the Rough Sets - International Joint Conference, 2024

2023
Dissimilarity-based indicator graph learning for clustering.
Neurocomputing, December, 2023

2022
Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint.
Axioms, 2022

Multi-label feature selection based on logistic regression and manifold learning.
Appl. Intell., 2022

2021
Graph regularized nonnegative matrix factorization with label discrimination for data clustering.
Neurocomputing, 2021

Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint.
Complex., 2021

2019
Generalized Neutrosophic Extended Triplet Group.
Symmetry, 2019

2018
Multi-Label Feature Selection Based on Mutual Information.
Proceedings of the 14th International Conference on Natural Computation, 2018


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