Yu Fu

Orcid: 0009-0004-3635-6225

Affiliations:
  • Hunan Normal University, College of Information Science and Engineering, Changsha, Hunan, China


According to our database1, Yu Fu authored at least 12 papers between 2022 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
Contrastive sensitivity learning for unsupervised node importance evaluation in complex networks.
Knowl. Based Syst., 2026

A fusion framework for consensus ranking via dual dimensionality reduction and cost-aware optimization.
Inf. Fusion, 2026

Multi-indicator resilience analysis method based on GCN for graph network.
Neurocomputing, 2026

ST-GRAD: Multi-view cross-attention and bidirectional diffusion for stock trend prediction.
Expert Syst. Appl., 2026

2025
A weighted heterogeneous graph attention network method for purchase prediction of potential consumers with Multibehaviors.
Inf. Process. Manag., 2025

2024
PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification.
Appl. Intell., March, 2024

Three-way graph convolutional network for multi-label classification in multi-label information system.
Appl. Soft Comput., 2024

2023
A large-scale group decision-making method based on group-oriented rough dominance relation in scenic spot service improvement.
Expert Syst. Appl., December, 2023

A graph attention network under probabilistic linguistic environment based on Bi-LSTM applied to film classification.
Inf. Sci., November, 2023

2022
Group decision-making method with directed graph under linguistic environment.
Int. J. Mach. Learn. Cybern., 2022

A graph convolutional network based on object relationship method under linguistic environment applied to film evaluation.
Inf. Sci., 2022

A Novel Dominance-Based Rough Set Model with Advantage (Disadvantage) Neighborhoods and Its Applications to Assess Sales Group.
Int. J. Fuzzy Syst., 2022


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