Feature Selection by Maximizing Part Mutual Information. - Wanfu Gao; Liang Hu 001; Ping Zhang 025 (SPML, 2018)

Feature selection considering weighted relevancy. - Ping Zhang 025; Wanfu Gao; Guixia Liu (Appl. Intell., 2018)

Feature selection by integrating two groups of feature evaluation criteria. - Wanfu Gao; Liang Hu 001; Ping Zhang 025; Feng Wang 014 (Expert Syst. Appl., 2018)

Feature selection considering two types of feature relevancy and feature interdependency. - Liang Hu 001; Wanfu Gao; Kuo Zhao; Ping Zhang 025; Feng Wang 014 (Expert Syst. Appl., 2018)

Class-specific mutual information variation for feature selection. - Wanfu Gao; Liang Hu 001; Ping Zhang 025 (Pattern Recognit., 2018)

Feature selection considering the composition of feature relevancy. - Wanfu Gao; Liang Hu 001; Ping Zhang 025; Jialong He (Pattern Recognit. Lett., 2018)

Distinguishing two types of labels for multi-label feature selection. - Ping Zhang 025; Guixia Liu; Wanfu Gao (Pattern Recognit., 2019)

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. - Wanfu Gao; Juncheng Hu; Yonghao Li; Ping Zhang 025 (IEEE Access, 2020)

Feature redundancy term variation for mutual information-based feature selection. - Wanfu Gao; Liang Hu 001; Ping Zhang 025 (Appl. Intell., 2020)

Feature selection considering Uncertainty Change Ratio of the class label. - Ping Zhang 025; Wanfu Gao (Appl. Soft Comput., 2020)

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Entropy, 2020)

Robust multi-label feature selection with dual-graph regularization. - Juncheng Hu; Yonghao Li; Wanfu Gao; Ping Zhang 025 (Knowl. Based Syst., 2020)

Multi-label feature selection with shared common mode. - Liang Hu 001; Yonghao Li; Wanfu Gao; Ping Zhang 025; Juncheng Hu (Pattern Recognit., 2020)

Feature relevance term variation for multi-label feature selection. - Ping Zhang 025; Wanfu Gao (Appl. Intell., 2021)

A conditional-weight joint relevance metric for feature relevancy term. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Eng. Appl. Artif. Intell., 2021)

Multi-label feature selection based on the division of label topics. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Inf. Sci., 2021)

Learning flexible network representation via anonymous walks. - Yu Wang 152; Liang Hu 001; Wanfu Gao (Knowl. Based Syst., 2021)

Multi-label feature selection considering label supplementation. - Ping Zhang 025; Guixia Liu; Wanfu Gao; Jiazhi Song (Pattern Recognit., 2021)

Preserving Similarity and Staring Decisis for Feature Selection. - Wanfu Gao; Liang Hu 001; Yonghao Li; Ping Zhang 025 (IEEE Trans. Artif. Intell., 2021)

Dynamic subspace dual-graph regularized multi-label feature selection. - Juncheng Hu; Yonghao Li; Gaochao Xu; Wanfu Gao (Neurocomputing, 2022)

Feature-specific mutual information variation for multi-label feature selection. - Liang Hu 001; Lingbo Gao; Yonghao Li; Ping Zhang 025; Wanfu Gao (Inf. Sci., 2022)

Label correlations variation for robust multi-label feature selection. - Yonghao Li; Liang Hu 001; Wanfu Gao (Inf. Sci., 2022)

Robust multi-label feature selection with shared label enhancement. - Yonghao Li; Juncheng Hu; Wanfu Gao (Knowl. Inf. Syst., 2022)

Multi-label feature selection method based on dynamic weight. - Ping Zhang 025; Jiyao Sheng; Wanfu Gao; Juncheng Hu; Yonghao Li (Soft Comput., 2022)

Graph Multihead Attention Pooling with Self-Supervised Learning. - Yu Wang 152; Liang Hu 001; Yang Wu; Wanfu Gao (Entropy, 2022)

Multi-Label Feature Selection Based on Min-Relevance Label. - Wanfu Gao; Hanlin Pan (IEEE Access, 2023)

A unified low-order information-theoretic feature selection framework for multi-label learning. - Wanfu Gao; Pingting Hao; Yang Wu; Ping Zhang 025 (Pattern Recognit., 2023)

Multi-label feature selection via robust flexible sparse regularization. - Yonghao Li; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2023)

Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation. - Yonghao Li; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2023)

Multilabel Feature Selection With Constrained Latent Structure Shared Term. - Wanfu Gao; Yonghao Li; Liang Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

AdaNS: Adaptive negative sampling for unsupervised graph representation learning. - Yu Wang 152; Liang Hu 001; Wanfu Gao; Xiaofeng Cao 002; Yi Chang 001 (Pattern Recognit., 2023)

Partial multi-label feature selection via subspace optimization. - Pingting Hao; Liang Hu 001; Wanfu Gao (Inf. Sci., 2023)

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. - Pingting Hao; Kunpeng Liu 001; Wanfu Gao (AAAI, 2024)

TFWT: Tabular Feature Weighting with Transformer. - Xinhao Zhang 001; Zaitian Wang; Lu Jiang 007; Wanfu Gao; Pengfei Wang 008; Kunpeng Liu 001 (IJCAI, 2024)

Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. - Bing Wang 018; Ximing Li 002; Changchun Li; Shengsheng Wang 001; Wanfu Gao (Inf. Fusion, 2024)

Exploring view-specific label relationships for multi-view multi-label feature selection. - Pingting Hao; Weiping Ding 001; Wanfu Gao; Jialong He (Inf. Sci., 2024)

Anchor-guided global view reconstruction for multi-view multi-label feature selection. - Pingting Hao; Kunpeng Liu 001; Wanfu Gao (Inf. Sci., 2024)

Label generation with consistency on the graph for multi-label feature selection. - Pingting Hao; Ping Zhang 025; Qi Feng; Wanfu Gao (Inf. Sci., 2024)

Feature relevance and redundancy coefficients for multi-view multi-label feature selection. - Qingqi Han; Liang Hu 001; Wanfu Gao (Inf. Sci., 2024)

Multi-label feature selection with high-sparse personalized and low-redundancy shared common features. - Yonghao Li; Liang Hu 001; Wanfu Gao (Inf. Process. Manag., 2024)

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. - Pingting Hao; Kunpeng Liu 001; Wanfu Gao (AAAI, 2025)

Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. - Ximing Li 002; Yuanchao Dai; Zhiyao Yang; Jinjin Chi; Wanfu Gao; Lin Yuanbo Wu (AAAI, 2025)

Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. - Hanlin Pan; Kunpeng Liu 001; Wanfu Gao (AAAI, 2025)

Entropy-based Exploration Conduction for Multi-step Reasoning. - Jinghan Zhang 002; Xiting Wang; Fengran Mo; Yeyang Zhou; Wanfu Gao; Kunpeng Liu 001 (ACL (Findings), 2025)

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Shengsheng Wang 001 (SIGIR, 2025)

Compound fault diagnosis method of rotating machinery using multi-view multi-label feature selection based on label compression and local label correlation. - Wei Zhang; Jialong He; Chi Ma; Wanfu Gao; Guofa Li (Adv. Eng. Informatics, 2025)

Exploring multi-label feature selection via feature and label information supplementation. - Suqi Zhang; Yonghao Li; Ping Zhang 025; Wanfu Gao (Eng. Appl. Artif. Intell., 2025)

Enhanced multi-label feature selection considering label-specific relevant information. - Qingqi Han; Zhanpeng Zhao; Liang Hu 001; Wanfu Gao (Expert Syst. Appl., 2025)

Fusion-enhanced multi-label feature selection with sparse supplementation. - Yonghao Li; Xiangkun Wang; Xin Yang 012; Wanfu Gao; Weiping Ding 001; Tianrui Li 001 (Inf. Fusion, 2025)

Integrating label confidence-based feature selection for partial multi-label learning. - Qingqi Han; Liang Hu 001; Wanfu Gao (Pattern Recognit., 2025)

Embedded feature fusion for multi-view multi-label feature selection. - Pingting Hao; Wanfu Gao; Liang Hu 001 (Pattern Recognit., 2025)

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Sheng-Sheng Wang 001 (CoRR, 2025)

Dual-Agent Reinforcement Learning for Automated Feature Generation. - Wanfu Gao; Zengyao Man; Hanlin Pan; Kunpeng Liu 001 (CoRR, 2025)

Two-Stage Feature Generation with Transformer and Reinforcement Learning. - Wanfu Gao; Zengyao Man; Zebin He; Yuhao Tang; Jun Gao; Kunpeng Liu 001 (CoRR, 2025)

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. - Wanfu Gao; Jun Gao; Qingqi Han; Hanlin Pan; Kunpeng Liu 001 (CoRR, 2025)

Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. - Wanfu Gao; Hanlin Pan; Qingqi Han; Kunpeng Liu 001 (CoRR, 2025)

MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection. - Lin Ma; Liang Hu 001; Yonghao Li; Weiping Ding 001; Wanfu Gao (IEEE Trans. Neural Networks Learn. Syst., 2025)