Yumin Chen

Orcid: 0000-0003-1981-5827

Affiliations:
  • Xiamen University of Technology, Xiamen, China


According to our database1, Yumin Chen authored at least 37 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
A granular XGBoost classification algorithm.
Appl. Intell., August, 2025

GTransformer: Multi-view functional granulation and self-attention for tabular data modeling.
Int. J. Approx. Reason., 2025

2024
Boosted stochastic fuzzy granular hypersurface classifier.
Knowl. Based Syst., 2024

2023
Information block multi-head subspace based long short-term memory networks for sentiment analysis.
Appl. Intell., May, 2023

Granular neural networks with a reference frame.
Knowl. Based Syst., 2023

An intrusion detection method based on granular autoencoders.
J. Intell. Fuzzy Syst., 2023

BGRF: A broad granular random forest algorithm.
J. Intell. Fuzzy Syst., 2023

2022
Fuzzy granular deep convolutional network with residual structures.
Knowl. Based Syst., 2022

An LVQ clustering algorithm based on neighborhood granules.
J. Intell. Fuzzy Syst., 2022

Fuzzy granular convolutional classifiers.
Fuzzy Sets Syst., 2022

A neural network boosting regression model based on XGBoost.
Appl. Soft Comput., 2022

2021
Feature Subset Selection Based on Variable Precision Neighborhood Rough Sets.
Int. J. Comput. Intell. Syst., 2021

A fuzzy granular sparse learning model for identifying antigenic variants of influenza viruses.
Appl. Soft Comput., 2021

2020
Boosted K-nearest neighbor classifiers based on fuzzy granules.
Knowl. Based Syst., 2020

Granular regression with a gradient descent method.
Inf. Sci., 2020

Random Fuzzy Clustering Granular Hyperplane Classifier.
IEEE Access, 2020

Fuzzy Granular Hyperplane Classifiers.
IEEE Access, 2020

Using Granule to Search Privacy Preserving Voice in Home IoT Systems.
IEEE Access, 2020

Granule Vectors and Granular Convolutional Classifiers.
IEEE Access, 2020

Fuzzy Granule Manifold Alignment Preserving Local Topology.
IEEE Access, 2020

2019
Granule structures, distances and measures in neighborhood systems.
Knowl. Based Syst., 2019

Feature selection for blind image steganalysis using neighborhood rough sets.
J. Intell. Fuzzy Syst., 2019

2018
Combating the class imbalance problemin sparse representation learning.
J. Intell. Fuzzy Syst., 2018

A granulated fuzzy rough set and its measures.
J. Intell. Fuzzy Syst., 2018

2017
Neighborhood rough set reduction with fish swarm algorithm.
Soft Comput., 2017

Measures of uncertainty for neighborhood rough sets.
Knowl. Based Syst., 2017

Gene selection for tumor classification using neighborhood rough sets and entropy measures.
J. Biomed. Informatics, 2017

Kernel CCA Based Transfer Learning for Software Defect Prediction.
IEICE Trans. Inf. Syst., 2017

2016
Three-way decision reduction in neighborhood systems.
Appl. Soft Comput., 2016

2015
Finding rough set reducts with fish swarm algorithm.
Knowl. Based Syst., 2015

A binary granule representation for uncertainty measures in rough set theory.
J. Intell. Fuzzy Syst., 2015

Outlier detection based on granular computing and rough set theory.
Appl. Intell., 2015

2014
An entropy-based uncertainty measurement approach in neighborhood systems.
Inf. Sci., 2014

2011
A rough set approach to feature selection based on power set tree.
Knowl. Based Syst., 2011

2010
A rough set approach to feature selection based on ant colony optimization.
Pattern Recognit. Lett., 2010

Neighborhood outlier detection.
Expert Syst. Appl., 2010

2008
Outlier Detection Based on Granular Computing.
Proceedings of the Rough Sets and Current Trends in Computing, 2008


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