Wanfu Gao - RankMe

80 papers A* 12A 1Journal 65Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A remaining useful life prediction method for lithium-ion batteries based on improved transformer and stochastic process. Reliab. Eng. Syst. Saf. Jialong He, Zhenbiao Ma, Yan Liu, Chi Ma, Wanfu Gao
2026	J	`jnl`	Ca-MCF: Category-level Multi-label Causal Feature selection. CoRR Wanfu Gao, Yanan Wang, Yonghao Li
2026	A*	`conf`	Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection. AAAI Zhiqi Chen, Yuzhou Liu, Jiarui Liu, Wanfu Gao
2026	J	`jnl`	Dual-space guided global-local disambiguation for partial multi-label feature selection. Neurocomputing Cheng Peng, Wanfu Gao, Pingting Hao, Qingqi Han
2026	J	`jnl`	From Ambiguity to Action: A POMDP Perspective on Partial Multi-Label Ambiguity and Its Horizon-One Resolution. CoRR Hanlin Pan, Yuhao Tang, Wanfu Gao
2026	J	`jnl`	Multi-label feature selection considering candidate space internal information. Pattern Recognit. Yahui Liu, Yuzhu Pang, Yujun Han, Yonghao Li, Wanfu Gao
2026	A*	`conf`	Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection. AAAI Yuzhou Liu, Jiarui Liu, Wanfu Gao
2026	J	`jnl`	SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection. CoRR Cheng Peng, Yonghao Li, Wanfu Gao, Jie Wen, Weiping Ding
2026	A*	`conf`	The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks. AAAI Wanfu Gao, Zebin He, Jun Gao
2025	J	`jnl`	Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. CoRR Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Sheng-Sheng Wang
2025	J	`jnl`	Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-view Multi-Label Feature Selection. CoRR Zhiqi Chen, Yuzhou Liu, Jiarui Liu, Wanfu Gao
2025	J	`jnl`	Compound fault diagnosis method of rotating machinery using multi-view multi-label feature selection based on label compression and local label correlation. Adv. Eng. Informatics Wei Zhang, Jialong He, Chi Ma, Wanfu Gao, Guofa Li
2025	A*	`conf`	Dual-Agent Reinforcement Learning for Automated Feature Generation. IJCAI Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu
2025	J	`jnl`	Dual-Agent Reinforcement Learning for Automated Feature Generation. CoRR Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu
2025	J	`jnl`	Embedded feature fusion for multi-view multi-label feature selection. Pattern Recognit. Pingting Hao, Wanfu Gao, Liang Hu
2025	J	`jnl`	Enhanced multi-label feature selection considering label-specific relevant information. Expert Syst. Appl. Qingqi Han, Zhanpeng Zhao, Liang Hu, Wanfu Gao
2025	—	`conf`	Entropy-based Exploration Conduction for Multi-step Reasoning. ACL (Findings) Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu
2025	J	`jnl`	Entropy-based Exploration Conduction for Multi-step Reasoning. CoRR Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu
2025	J	`jnl`	Exploring multi-label feature selection via feature and label information supplementation. Eng. Appl. Artif. Intell. Suqi Zhang, Yonghao Li, Ping Zhang, Wanfu Gao
2025	J	`jnl`	Fusion-enhanced multi-label feature selection with sparse supplementation. Inf. Fusion Yonghao Li, Xiangkun Wang, Xin Yang, Wanfu Gao, Weiping Ding, Tianrui Li
2025	A*	`conf`	Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. IJCAI Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu
2025	J	`jnl`	Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. CoRR Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu
2025	J	`jnl`	Integrating label confidence-based feature selection for partial multi-label learning. Pattern Recognit. Qingqi Han, Liang Hu, Wanfu Gao
2025	J	`jnl`	MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Lin Ma, Liang Hu, Yonghao Li, Weiping Ding, Wanfu Gao
2025	J	`jnl`	Multi-label feature selection based on positive sample information weighting. Knowl. Based Syst. Qingqi Han, Ruikai Shi, Liang Hu, Wanfu Gao
2025	J	`jnl`	Negative label-Aware and correlation-Enhanced multi-Label feature selection. Knowl. Based Syst. Xiang Li, Huimin Fu, Xiaoou Huang, Tianyi Xie, Lingfei Ren, Wanfu Gao, Yonghao Li, Xin Yang
2025	A*	`conf`	Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. IJCAI Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu
2025	J	`jnl`	Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. CoRR Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu
2025	A*	`conf`	Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. AAAI Hanlin Pan, Kunpeng Liu, Wanfu Gao
2025	J	`jnl`	Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. CoRR Hanlin Pan, Kunpeng Liu, Wanfu Gao
2025	J	`jnl`	Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection. CoRR Yuzhou Liu, Jiarui Liu, Wanfu Gao
2025	J	`jnl`	Robust Multilabel Feature Selection With Label Enhancement for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. Qingqi Han, Wei Zhang, Chi Ma, Jialong He, Wanfu Gao
2025	J	`jnl`	The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks. CoRR Wanfu Gao, Zebin He, Jun Gao
2025	A*	`conf`	Two-Stage Feature Generation with Transformer and Reinforcement Learning. IJCAI Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu
2025	J	`jnl`	Two-Stage Feature Generation with Transformer and Reinforcement Learning. CoRR Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu
2025	A*	`conf`	Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. AAAI Pingting Hao, Kunpeng Liu, Wanfu Gao
2025	J	`jnl`	Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. CoRR Pingting Hao, Kunpeng Liu, Wanfu Gao
2025	A*	`conf`	Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. AAAI Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu
2025	A	`conf`	Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance. CIKM Kaiyu Wang, Lin Mu, Zhiyao Yang, Ximing Li, Xiaotang Zhou, Wanfu Gao, Huimao Zhang
2024	J	`jnl`	Anchor-guided global view reconstruction for multi-view multi-label feature selection. Inf. Sci. Pingting Hao, Kunpeng Liu, Wanfu Gao
2024	A*	`conf`	Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. AAAI Pingting Hao, Kunpeng Liu, Wanfu Gao
2024	J	`jnl`	Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. Inf. Fusion Bing Wang, Ximing Li, Changchun Li, Shengsheng Wang, Wanfu Gao
2024	J	`jnl`	Exploring view-specific label relationships for multi-view multi-label feature selection. Inf. Sci. Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He
2024	J	`jnl`	Feature relevance and redundancy coefficients for multi-view multi-label feature selection. Inf. Sci. Qingqi Han, Liang Hu, Wanfu Gao
2024	J	`jnl`	Label generation with consistency on the graph for multi-label feature selection. Inf. Sci. Pingting Hao, Ping Zhang, Qi Feng, Wanfu Gao
2024	J	`jnl`	Multi-label feature selection with high-sparse personalized and low-redundancy shared common features. Inf. Process. Manag. Yonghao Li, Liang Hu, Wanfu Gao
2024	A*	`conf`	TFWT: Tabular Feature Weighting with Transformer. IJCAI Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu
2024	J	`jnl`	TFWT: Tabular Feature Weighting with Transformer. CoRR Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu
2023	J	`jnl`	A unified low-order information-theoretic feature selection framework for multi-label learning. Pattern Recognit. Wanfu Gao, Pingting Hao, Yang Wu, Ping Zhang
2023	J	`jnl`	AdaNS: Adaptive negative sampling for unsupervised graph representation learning. Pattern Recognit. Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang
2023	J	`jnl`	Multi-Label Feature Selection Based on Min-Relevance Label. IEEE Access Wanfu Gao, Hanlin Pan
2023	J	`jnl`	Multi-label feature selection via robust flexible sparse regularization. Pattern Recognit. Yonghao Li, Liang Hu, Wanfu Gao
2023	J	`jnl`	Multilabel Feature Selection With Constrained Latent Structure Shared Term. IEEE Trans. Neural Networks Learn. Syst. Wanfu Gao, Yonghao Li, Liang Hu
2023	J	`jnl`	Partial multi-label feature selection via subspace optimization. Inf. Sci. Pingting Hao, Liang Hu, Wanfu Gao
2023	J	`jnl`	Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation. Pattern Recognit. Yonghao Li, Liang Hu, Wanfu Gao
2022	J	`jnl`	Dynamic subspace dual-graph regularized multi-label feature selection. Neurocomputing Juncheng Hu, Yonghao Li, Gaochao Xu, Wanfu Gao
2022	J	`jnl`	Feature-specific mutual information variation for multi-label feature selection. Inf. Sci. Liang Hu, Lingbo Gao, Yonghao Li, Ping Zhang, Wanfu Gao
2022	J	`jnl`	Graph Multihead Attention Pooling with Self-Supervised Learning. Entropy Yu Wang, Liang Hu, Yang Wu, Wanfu Gao
2022	J	`jnl`	Label correlations variation for robust multi-label feature selection. Inf. Sci. Yonghao Li, Liang Hu, Wanfu Gao
2022	J	`jnl`	Multi-label feature selection method based on dynamic weight. Soft Comput. Ping Zhang, Jiyao Sheng, Wanfu Gao, Juncheng Hu, Yonghao Li
2022	J	`jnl`	Robust multi-label feature selection with shared label enhancement. Knowl. Inf. Syst. Yonghao Li, Juncheng Hu, Wanfu Gao
2021	J	`jnl`	A conditional-weight joint relevance metric for feature relevancy term. Eng. Appl. Artif. Intell. Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
2021	J	`jnl`	Feature relevance term variation for multi-label feature selection. Appl. Intell. Ping Zhang, Wanfu Gao
2021	J	`jnl`	Learning flexible network representation via anonymous walks. Knowl. Based Syst. Yu Wang, Liang Hu, Wanfu Gao
2021	J	`jnl`	Multi-label feature selection based on the division of label topics. Inf. Sci. Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
2021	J	`jnl`	Multi-label feature selection considering label supplementation. Pattern Recognit. Ping Zhang, Guixia Liu, Wanfu Gao, Jiazhi Song
2021	J	`jnl`	Preserving Similarity and Staring Decisis for Feature Selection. IEEE Trans. Artif. Intell. Wanfu Gao, Liang Hu, Yonghao Li, Ping Zhang
2020	J	`jnl`	Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. IEEE Access Wanfu Gao, Juncheng Hu, Yonghao Li, Ping Zhang
2020	J	`jnl`	Feature redundancy term variation for mutual information-based feature selection. Appl. Intell. Wanfu Gao, Liang Hu, Ping Zhang
2020	J	`jnl`	Feature selection considering Uncertainty Change Ratio of the class label. Appl. Soft Comput. Ping Zhang, Wanfu Gao
2020	J	`jnl`	Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. Entropy Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li
2020	J	`jnl`	Multi-label feature selection with shared common mode. Pattern Recognit. Liang Hu, Yonghao Li, Wanfu Gao, Ping Zhang, Juncheng Hu
2020	J	`jnl`	Robust multi-label feature selection with dual-graph regularization. Knowl. Based Syst. Juncheng Hu, Yonghao Li, Wanfu Gao, Ping Zhang
2019	J	`jnl`	Distinguishing two types of labels for multi-label feature selection. Pattern Recognit. Ping Zhang, Guixia Liu, Wanfu Gao
2018	J	`jnl`	Class-specific mutual information variation for feature selection. Pattern Recognit. Wanfu Gao, Liang Hu, Ping Zhang
2018	—	`conf`	Feature Selection by Maximizing Part Mutual Information. SPML Wanfu Gao, Liang Hu, Ping Zhang
2018	J	`jnl`	Feature selection by integrating two groups of feature evaluation criteria. Expert Syst. Appl. Wanfu Gao, Liang Hu, Ping Zhang, Feng Wang
2018	J	`jnl`	Feature selection considering the composition of feature relevancy. Pattern Recognit. Lett. Wanfu Gao, Liang Hu, Ping Zhang, Jialong He
2018	J	`jnl`	Feature selection considering two types of feature relevancy and feature interdependency. Expert Syst. Appl. Liang Hu, Wanfu Gao, Kuo Zhao, Ping Zhang, Feng Wang
2018	J	`jnl`	Feature selection considering weighted relevancy. Appl. Intell. Ping Zhang, Wanfu Gao, Guixia Liu