Wanfu Gao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Mutual Information

Feature Selection

Top Venues

Pattern Recognit.

Expert Syst. Appl.

Publications

Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He
Exploring view-specific label relationships for multi-view multi-label feature selection. Inf. Sci. 681 (2024)
Pingting Hao, Kunpeng Liu, Wanfu Gao
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. AAAI (2024)
Pingting Hao, Kunpeng Liu, Wanfu Gao
Anchor-guided global view reconstruction for multi-view multi-label feature selection. Inf. Sci. 679 (2024)
Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu
TFWT: Tabular Feature Weighting with Transformer. CoRR (2024)
Bing Wang, Ximing Li, Changchun Li, Shengsheng Wang, Wanfu Gao
Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. Inf. Fusion 111 (2024)
Yonghao Li, Liang Hu, Wanfu Gao
Multi-label feature selection with high-sparse personalized and low-redundancy shared common features. Inf. Process. Manag. 61 (2) (2024)
Pingting Hao, Ping Zhang, Qi Feng, Wanfu Gao
Label generation with consistency on the graph for multi-label feature selection. Inf. Sci. 677 (2024)
Qingqi Han, Liang Hu, Wanfu Gao
Feature relevance and redundancy coefficients for multi-view multi-label feature selection. Inf. Sci. 652 (2024)
Wanfu Gao, Pingting Hao, Yang Wu, Ping Zhang
A unified low-order information-theoretic feature selection framework for multi-label learning. Pattern Recognit. 134 (2023)
Yonghao Li, Liang Hu, Wanfu Gao
Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation. Pattern Recognit. 134 (2023)
Wanfu Gao, Yonghao Li, Liang Hu
Multilabel Feature Selection With Constrained Latent Structure Shared Term. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang
AdaNS: Adaptive negative sampling for unsupervised graph representation learning. Pattern Recognit. 136 (2023)
Wanfu Gao, Hanlin Pan
Multi-Label Feature Selection Based on Min-Relevance Label. IEEE Access 11 (2023)
Yonghao Li, Liang Hu, Wanfu Gao
Multi-label feature selection via robust flexible sparse regularization. Pattern Recognit. 134 (2023)
Pingting Hao, Liang Hu, Wanfu Gao
Partial multi-label feature selection via subspace optimization. Inf. Sci. 648 (2023)
Ping Zhang, Jiyao Sheng, Wanfu Gao, Juncheng Hu, Yonghao Li
Multi-label feature selection method based on dynamic weight. Soft Comput. 26 (6) (2022)
Yonghao Li, Juncheng Hu, Wanfu Gao
Robust multi-label feature selection with shared label enhancement. Knowl. Inf. Syst. 64 (12) (2022)
Yu Wang, Liang Hu, Yang Wu, Wanfu Gao
Graph Multihead Attention Pooling with Self-Supervised Learning. Entropy 24 (12) (2022)
Juncheng Hu, Yonghao Li, Gaochao Xu, Wanfu Gao
Dynamic subspace dual-graph regularized multi-label feature selection. Neurocomputing 467 (2022)
Yonghao Li, Liang Hu, Wanfu Gao
Label correlations variation for robust multi-label feature selection. Inf. Sci. 609 (2022)
Liang Hu, Lingbo Gao, Yonghao Li, Ping Zhang, Wanfu Gao
Feature-specific mutual information variation for multi-label feature selection. Inf. Sci. 593 (2022)
Ping Zhang, Wanfu Gao
Feature relevance term variation for multi-label feature selection. Appl. Intell. 51 (7) (2021)
Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
A conditional-weight joint relevance metric for feature relevancy term. Eng. Appl. Artif. Intell. 106 (2021)
Yu Wang, Liang Hu, Wanfu Gao
Learning flexible network representation via anonymous walks. Knowl. Based Syst. 222 (2021)
Ping Zhang, Guixia Liu, Wanfu Gao, Jiazhi Song
Multi-label feature selection considering label supplementation. Pattern Recognit. 120 (2021)
Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Multi-label feature selection based on the division of label topics. Inf. Sci. 553 (2021)
Wanfu Gao, Liang Hu, Yonghao Li, Ping Zhang
Preserving Similarity and Staring Decisis for Feature Selection. IEEE Trans. Artif. Intell. 2 (6) (2021)
Wanfu Gao, Liang Hu, Ping Zhang
Feature redundancy term variation for mutual information-based feature selection. Appl. Intell. 50 (4) (2020)
Ping Zhang, Wanfu Gao
Feature selection considering Uncertainty Change Ratio of the class label. Appl. Soft Comput. 95 (2020)
Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. Entropy 22 (7) (2020)
Wanfu Gao, Juncheng Hu, Yonghao Li, Ping Zhang
Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. IEEE Access 8 (2020)
Juncheng Hu, Yonghao Li, Wanfu Gao, Ping Zhang
Robust multi-label feature selection with dual-graph regularization. Knowl. Based Syst. 203 (2020)
Liang Hu, Yonghao Li, Wanfu Gao, Ping Zhang, Juncheng Hu
Multi-label feature selection with shared common mode. Pattern Recognit. 104 (2020)
Ping Zhang, Guixia Liu, Wanfu Gao
Distinguishing two types of labels for multi-label feature selection. Pattern Recognit. 95 (2019)
Ping Zhang, Wanfu Gao, Guixia Liu
Feature selection considering weighted relevancy. Appl. Intell. 48 (12) (2018)
Wanfu Gao, Liang Hu, Ping Zhang
Class-specific mutual information variation for feature selection. Pattern Recognit. 79 (2018)
Wanfu Gao, Liang Hu, Ping Zhang, Jialong He
Feature selection considering the composition of feature relevancy. Pattern Recognit. Lett. 112 (2018)
Wanfu Gao, Liang Hu, Ping Zhang
Feature Selection by Maximizing Part Mutual Information. SPML (2018)
Wanfu Gao, Liang Hu, Ping Zhang, Feng Wang
Feature selection by integrating two groups of feature evaluation criteria. Expert Syst. Appl. 110 (2018)
Liang Hu, Wanfu Gao, Kuo Zhao, Ping Zhang, Feng Wang
Feature selection considering two types of feature relevancy and feature interdependency. Expert Syst. Appl. 93 (2018)