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ORCIDWanfu Gao
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- affiliation: Jilin University, Changchun, China
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Journal Articles
- 2025
[j38]Pingting Hao
, Wanfu Gao, Liang Hu:
Embedded feature fusion for multi-view multi-label feature selection. Pattern Recognit. 157: 110888 (2025)- 2024
- [j37]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: 102500 (2024) - [j36]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): 103633 (2024) - [j35]Qingqi Han, Liang Hu, Wanfu Gao:
Feature relevance and redundancy coefficients for multi-view multi-label feature selection. Inf. Sci. 652: 119747 (2024) - [j34]Pingting Hao, Ping Zhang, Qi Feng, Wanfu Gao:
Label generation with consistency on the graph for multi-label feature selection. Inf. Sci. 677: 120890 (2024) - [j33]Pingting Hao, Kunpeng Liu, Wanfu Gao:
Anchor-guided global view reconstruction for multi-view multi-label feature selection. Inf. Sci. 679: 121124 (2024) - [j32]Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He:
Exploring view-specific label relationships for multi-view multi-label feature selection. Inf. Sci. 681: 121215 (2024) - 2023
- [j31]Wanfu Gao, Hanlin Pan:
Multi-Label Feature Selection Based on Min-Relevance Label. IEEE Access 11: 410-420 (2023) - [j30]Pingting Hao, Liang Hu, Wanfu Gao:
Partial multi-label feature selection via subspace optimization. Inf. Sci. 648: 119556 (2023) - [j29]Yonghao Li, Liang Hu, Wanfu Gao:
Multi-label feature selection via robust flexible sparse regularization. Pattern Recognit. 134: 109074 (2023) - [j28]Wanfu Gao, Pingting Hao, Yang Wu, Ping Zhang:
A unified low-order information-theoretic feature selection framework for multi-label learning. Pattern Recognit. 134: 109111 (2023) - [j27]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: 109120 (2023) - [j26]Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang:
AdaNS: Adaptive negative sampling for unsupervised graph representation learning. Pattern Recognit. 136: 109266 (2023) - [j25]Wanfu Gao, Yonghao Li, Liang Hu:
Multilabel Feature Selection With Constrained Latent Structure Shared Term. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1253-1262 (2023) - 2022
- [j24]Yu Wang, Liang Hu, Yang Wu, Wanfu Gao:
Graph Multihead Attention Pooling with Self-Supervised Learning. Entropy 24(12): 1745 (2022) - [j23]Juncheng Hu, Yonghao Li, Gaochao Xu, Wanfu Gao:
Dynamic subspace dual-graph regularized multi-label feature selection. Neurocomputing 467: 184-196 (2022) - [j22]Liang Hu, Lingbo Gao, Yonghao Li, Ping Zhang, Wanfu Gao:
Feature-specific mutual information variation for multi-label feature selection. Inf. Sci. 593: 449-471 (2022) - [j21]Yonghao Li, Liang Hu, Wanfu Gao:
Label correlations variation for robust multi-label feature selection. Inf. Sci. 609: 1075-1097 (2022) - [j20]Yonghao Li, Juncheng Hu, Wanfu Gao:
Robust multi-label feature selection with shared label enhancement. Knowl. Inf. Syst. 64(12): 3343-3372 (2022) - [j19]Ping Zhang, Jiyao Sheng, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-label feature selection method based on dynamic weight. Soft Comput. 26(6): 2793-2805 (2022) - 2021
- [j18]Ping Zhang, Wanfu Gao:
Feature relevance term variation for multi-label feature selection. Appl. Intell. 51(7): 5095-5110 (2021) - [j17]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
A conditional-weight joint relevance metric for feature relevancy term. Eng. Appl. Artif. Intell. 106: 104481 (2021) - [j16]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-label feature selection based on the division of label topics. Inf. Sci. 553: 129-153 (2021) - [j15]Yu Wang, Liang Hu, Wanfu Gao:
Learning flexible network representation via anonymous walks. Knowl. Based Syst. 222: 107021 (2021) - [j14]Ping Zhang, Guixia Liu, Wanfu Gao, Jiazhi Song:
Multi-label feature selection considering label supplementation. Pattern Recognit. 120: 108137 (2021) - [j13]Wanfu Gao, Liang Hu, Yonghao Li, Ping Zhang:
Preserving Similarity and Staring Decisis for Feature Selection. IEEE Trans. Artif. Intell. 2(6): 584-593 (2021) - 2020
- [j12]Wanfu Gao, Juncheng Hu, Yonghao Li, Ping Zhang:
Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. IEEE Access 8: 146050-146064 (2020) - [j11]Wanfu Gao, Liang Hu, Ping Zhang:
Feature redundancy term variation for mutual information-based feature selection. Appl. Intell. 50(4): 1272-1288 (2020) - [j10]Ping Zhang, Wanfu Gao:
Feature selection considering Uncertainty Change Ratio of the class label. Appl. Soft Comput. 95: 106537 (2020) - [j9]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. Entropy 22(7): 797 (2020) - [j8]Juncheng Hu, Yonghao Li, Wanfu Gao, Ping Zhang:
Robust multi-label feature selection with dual-graph regularization. Knowl. Based Syst. 203: 106126 (2020) - [j7]Liang Hu, Yonghao Li, Wanfu Gao, Ping Zhang, Juncheng Hu:
Multi-label feature selection with shared common mode. Pattern Recognit. 104: 107344 (2020) - 2019
- [j6]Ping Zhang, Guixia Liu, Wanfu Gao:
Distinguishing two types of labels for multi-label feature selection. Pattern Recognit. 95: 72-82 (2019) - 2018
- [j5]Ping Zhang, Wanfu Gao, Guixia Liu:
Feature selection considering weighted relevancy. Appl. Intell. 48(12): 4615-4625 (2018) - [j4]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: 423-434 (2018) - [j3]Wanfu Gao, Liang Hu, Ping Zhang, Feng Wang:
Feature selection by integrating two groups of feature evaluation criteria. Expert Syst. Appl. 110: 11-19 (2018) - [j2]Wanfu Gao, Liang Hu, Ping Zhang:
Class-specific mutual information variation for feature selection. Pattern Recognit. 79: 328-339 (2018) - [j1]Wanfu Gao, Liang Hu, Ping Zhang, Jialong He:
Feature selection considering the composition of feature relevancy. Pattern Recognit. Lett. 112: 70-74 (2018)
Conference and Workshop Papers
- 2024
- [c3]Pingting Hao, Kunpeng Liu, Wanfu Gao:
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. AAAI 2024: 12295-12303 - [c2]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. IJCAI 2024: 2570-2578 - 2018
- [c1]Wanfu Gao, Liang Hu, Ping Zhang:
Feature Selection by Maximizing Part Mutual Information. SPML 2018: 120-127
Informal and Other Publications
- 2024
- [i1]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. CoRR abs/2405.08403 (2024)
Coauthor Index
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