We stand with Ukraine

We stand with Ukraine

Bin Yu

Orcid: 0000-0002-6321-2129

Affiliations:

Hunan Normal University, School of Mathematics and Statistics, Changsha, China

According to our database¹, Bin Yu authored at least 48 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Neighborhood-Aware Fuzzy Graph Convolutional Networks for Improved Information Fusion.

[DOI]

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Changzheng Zhou

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IEEE Trans. Fuzzy Syst., May, 2026

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information.

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IEEE Trans. Neural Networks Learn. Syst., March, 2026

DFR: A Density-Based Fuzzy Rough Clustering Algorithm.

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IEEE Trans. Fuzzy Syst., February, 2026

A dominance-inferiority-based rough set model and its application to car evaluation.

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Soft Comput., February, 2026

Multi-attribute prediction decision-making method based on rough fuzzy sets of causal analysis.

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Appl. Intell., January, 2026

Contrastive sensitivity learning for unsupervised node importance evaluation in complex networks.

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Knowl. Based Syst., 2026

A fusion framework for consensus ranking via dual dimensionality reduction and cost-aware optimization.

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Inf. Fusion, 2026

A fusion method for large-scale online review ranking.

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Inf. Fusion, 2026

Multi-indicator resilience analysis method based on GCN for graph network.

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Neurocomputing, 2026

A scalable framework for ranking integration in large-scale online reviews: Integrating clustering and multi-attribute decision-making.

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Electron. Commer. Res. Appl., 2026

2025

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set.

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IEEE Trans. Fuzzy Syst., March, 2025

FCIGPG: An Approach to Fuzzy Classification Based on Information Granule Purity and Granularity.

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IEEE Trans. Fuzzy Syst., 2025

Multi-behavior purchase prediction via graph convolutional networks on implicit bipartite graph relationships.

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Knowl. Based Syst., 2025

A classification method based on dominance neighborhood granularity.

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Knowl. Based Syst., 2025

A weighted heterogeneous graph attention network method for purchase prediction of potential consumers with Multibehaviors.

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Inf. Process. Manag., 2025

A clustering algorithm based on dominating (dominated) roughness.

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Neurocomputing, 2025

A robust clustering algorithm based on weighted optimization of fuzzy feature difference using shadow sets.

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Fuzzy Sets Syst., 2025

Fuzzy clustering of time series based on trend feature information granulation.

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Fuzzy Sets Syst., 2025

Large-scale analytic hierarchy process method based on fuzzy-rough-advantage relation.

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Eng. Appl. Artif. Intell., 2025

2024

VMCFDGS: Variable Multicenter Aggregation Clustering Method Based on Fuzzy Dominating (Dominated)-Granularity Structure.

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IEEE Trans. Fuzzy Syst., December, 2024

CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity.

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IEEE Trans. Fuzzy Syst., August, 2024

A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern.

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Inf. Fusion, March, 2024

PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification.

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Appl. Intell., March, 2024

MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System.

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IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Time series clustering based on polynomial fitting and multi-order trend features.

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Inf. Sci., 2024

FRCM: A fuzzy rough <i>c</i>-means clustering method.

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Fuzzy Sets Syst., 2024

Three-way graph convolutional network for multi-label classification in multi-label information system.

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Appl. Soft Comput., 2024

2023

CLIG: A classification method based on bidirectional layer information granularity.

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Inf. Sci., December, 2023

A large-scale group decision-making method based on group-oriented rough dominance relation in scenic spot service improvement.

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Expert Syst. Appl., December, 2023

A graph attention network under probabilistic linguistic environment based on Bi-LSTM applied to film classification.

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Inf. Sci., November, 2023

Interpretable Multiattribute Predictive Analysis Model Based on Rough Fuzzy Sets and Logistic Regression.

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IEEE Trans. Fuzzy Syst., October, 2023

A bi-variable precision rough set model and its application to attribute reduction.

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Inf. Sci., October, 2023

Local Feature Selection for Large-Scale Data Sets With Limited Labels.

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IEEE Trans. Knowl. Data Eng., July, 2023

A novel approach to multi-attribute predictive analysis based on rough fuzzy sets.

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Appl. Intell., July, 2023

A novel variable precision rough set attribute reduction algorithm based on local attribute significance.

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Int. J. Approx. Reason., June, 2023

<i>K</i>-DGHC: A hierarchical clustering method based on <i>K</i>-dominance granularity.

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Inf. Sci., 2023

PN-GCN: Positive-negative graph convolution neural network in information system to classification.

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Inf. Sci., 2023

Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods.

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Eng. Appl. Artif. Intell., 2023

2022

Group decision-making method with directed graph under linguistic environment.

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Int. J. Mach. Learn. Cybern., 2022

A graph convolutional network based on object relationship method under linguistic environment applied to film evaluation.

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Inf. Sci., 2022

Multi-attribute predictive analysis based on attribute-oriented fuzzy rough sets in fuzzy information systems.

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Inf. Sci., 2022

A Novel Dominance-Based Rough Set Model with Advantage (Disadvantage) Neighborhoods and Its Applications to Assess Sales Group.

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Int. J. Fuzzy Syst., 2022

A novel multi-attribute decision-making method based on neighborhood approximations and its application.

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Expert Syst. Appl., 2022

Advantage matrix: two novel multi-attribute decision-making methods and their applications.

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Artif. Intell. Rev., 2022

2020

A novel approach to predictive analysis using attribute-oriented rough fuzzy sets.

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Expert Syst. Appl., 2020

2019

A λ-rough set model and its applications with TOPSIS method to decision making.

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Knowl. Based Syst., 2019

A characterization of novel rough fuzzy sets of information systems and their application in decision making.

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Expert Syst. Appl., 2019

2018

<i>L</i>-fuzzy prime spectra of ordered semigroups.

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J. Intell. Fuzzy Syst., 2018

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