Wanfu Gao

Orcid: 0000-0003-2738-596X

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Wanfu Gao authored at least 34 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Feature relevance and redundancy coefficients for multi-view multi-label feature selection.
Inf. Sci., January, 2024

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Partial multi-label feature selection via subspace optimization.
Inf. Sci., November, 2023

AdaNS: Adaptive negative sampling for unsupervised graph representation learning.
Pattern Recognit., April, 2023

Multilabel Feature Selection With Constrained Latent Structure Shared Term.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation.
Pattern Recognit., 2023

Multi-label feature selection via robust flexible sparse regularization.
Pattern Recognit., 2023

A unified low-order information-theoretic feature selection framework for multi-label learning.
Pattern Recognit., 2023

Multi-Label Feature Selection Based on Min-Relevance Label.
IEEE Access, 2023

2022
Graph Multihead Attention Pooling with Self-Supervised Learning.
Entropy, December, 2022

Multi-label feature selection method based on dynamic weight.
Soft Comput., 2022

Robust multi-label feature selection with shared label enhancement.
Knowl. Inf. Syst., 2022

Label correlations variation for robust multi-label feature selection.
Inf. Sci., 2022

Feature-specific mutual information variation for multi-label feature selection.
Inf. Sci., 2022

Dynamic subspace dual-graph regularized multi-label feature selection.
Neurocomputing, 2022

2021
Preserving Similarity and Staring Decisis for Feature Selection.
IEEE Trans. Artif. Intell., 2021

Multi-label feature selection considering label supplementation.
Pattern Recognit., 2021

Learning flexible network representation via anonymous walks.
Knowl. Based Syst., 2021

Multi-label feature selection based on the division of label topics.
Inf. Sci., 2021

A conditional-weight joint relevance metric for feature relevancy term.
Eng. Appl. Artif. Intell., 2021

Feature relevance term variation for multi-label feature selection.
Appl. Intell., 2021

2020
Multi-label feature selection with shared common mode.
Pattern Recognit., 2020

Robust multi-label feature selection with dual-graph regularization.
Knowl. Based Syst., 2020

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption.
Entropy, 2020

Feature selection considering Uncertainty Change Ratio of the class label.
Appl. Soft Comput., 2020

Feature redundancy term variation for mutual information-based feature selection.
Appl. Intell., 2020

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection.
IEEE Access, 2020

2019
Distinguishing two types of labels for multi-label feature selection.
Pattern Recognit., 2019

2018
Feature selection considering the composition of feature relevancy.
Pattern Recognit. Lett., 2018

Class-specific mutual information variation for feature selection.
Pattern Recognit., 2018

Feature selection considering two types of feature relevancy and feature interdependency.
Expert Syst. Appl., 2018

Feature selection by integrating two groups of feature evaluation criteria.
Expert Syst. Appl., 2018

Feature selection considering weighted relevancy.
Appl. Intell., 2018

Feature Selection by Maximizing Part Mutual Information.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018


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