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Z
Zihan Fang
fuzhou university
7
H指数
38
论文数
147
被引数
0
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18
发表时间
发表时间
IF
被引数
OpenEnhancer: An open-set learning network via multiple feature fusion
OpenEnhancer:一种基于多特征融合的开集学习网络
Neural Networks
IF
6.3
2026-08-31
0
PRE
AI
Shide Du; Zihan Fang; Yilin Wu; Shiping Wang; Manuel Günther
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Generative Incomplete Multiview Representation Learning With Learnable Graph
生成式可学习图的不完整多视图表示学习
IEEE Transactions on Neural Networks and Learning Systems
IF
8.9
2026-07-23
0
PRE
AI
Ying Zou; Zihan Fang; Shide Du; Zhiyong Xu; Yanchao Tan; Shiping Wang
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Harnessing noisy LLM annotations: Confidence-calibrated node selection on text-attributed graphs
利用嘈杂的大语言模型标注:基于文本属性图上的置信度校准节点选择
Pattern Recognition
IF
7.6
2026-07-01
0
PRE
AI
Fang, Zihan; Du, Shide; Wu, Zhihao; Cai, Zhiling; Tan, Yanchao; Wang, Shiping; Lin, Zhouchen
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An Interpretable Deep Unfolding Framework for Multi-view Representation Learning
一种用于多视图表示学习的可解释深度展开框架
Information Fusion
IF
15.5
2026-02-17
0
PRE
AI
Shide Du; Zhenghong Lin; Zihan Fang; Yiqing Shi; Shiping Wang
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Beyond local aggregation: Global graph contrastive learning for multi-view fusion
超越局部聚合:用于多视图融合的全局图对比学习
Neural Networks
IF
6.3
2026-02-12
0
PRE
AI
Xueyang Min; Jiali Yu; Zihan Fang; Weihong Lin; Shiping Wang
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Revisiting multi-view semi-supervised classification: a reinforcement learning perspective
重新审视多视角半监督分类:一种强化学习视角
Applied Intelligence
IF
3.5
2026-01-09
0
PRE
AI
Zhicheng Wei; Zhiling Cai; Zhibin Shi; Zihan Fang; Mingjian Fu; Shiping Wang
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Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity
可解释的多视图表示学习面向复杂场景:从同质性到异质性
IEEE Transactions on Multimedia
IF
9.7
2026-01-01
0
PRE
AI
Ying Zou; Zihan Fang; Shide Du; Yilin Wu; Hong Zhao; Shiping Wang
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Constraint-Aware Multi-View Clustering via Graph Contrastive Learning
基于图对比学习的约束感知多视图聚类
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2025, PT II
IF
0
2026-01-01
0
PRE
AI
Chen, Zhengnan; Wu, Chunming; Fang, Zihan; Du, Shide; Fan, Ping; Wang, Shiping
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SOI-Net: Structural Optimization-Inspired Interpretable Network for Incomplete Multi-View Clustering
SOI-Net:受结构优化启发的可解释网络,用于不完整多视图聚类
IEEE Transactions on Multimedia
IF
9.7
2026-01-01
0
PRE
AI
Chunming Wu; Zihan Fang; Zhiling Cai; Shide Du; Wei Huang; Jinbo Li; Shiping Wang
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Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework
可靠:一种可解释的属性导向表示学习框架
IEEE Transactions on Neural Networks and Learning Systems
IF
8.9
2025-10-28
0
PRE
AI
Zihan Fang; Shide Du; Ying Zou; Yanchao Tan; Na Song; Shiping Wang
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Order-flexible graph attention network for multi-view subspace clustering
面向多视图子空间聚类的可变顺序图注意力网络
Knowledge-Based Systems
IF
7.6
2025-10-24
0
PRE
AI
Gangshuo Bao; Yongquan Shi; Yueyang Pi; Zihan Fang; Jinbo Li; Shiping Wang
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Scalable multi-modal representation learning networks
可扩展的多模态表示学习网络
ARTIFICIAL INTELLIGENCE REVIEW
IF
13.9
2025-04-17
0
OA
AI
Fang, Zihan; Zou, Ying; Lan, Shiyang; Du, Shide; Tan, Yanchao; Wang, Shiping
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Attention-based stackable graph convolutional network for multi-view learning
基于注意力的可堆叠图卷积网络多视图学习
NEURAL NETWORKS
IF
6.3
2024-12-01
0
PRE
AI
Xu, Zhiyong; Chen, Weibin; Zou, Ying; Fang, Zihan; Wang, Shiping
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Multi-view heterogeneous graph learning with compressed hypergraph neural networks
基于压缩超图神经网络的多视图异构图学习
NEURAL NETWORKS
IF
6.3
2024-11-01
0
PRE
AI
Huang, Aiping; Fang, Zihan; Wu, Zhihao; Tan, Yanchao; Han, Peng; Wang, Shiping; Zhang, Le
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Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network
NEURAL NETWORKS
IF
6.3
2024-01-01
10
PRE
AI
Zou, Ying; Fang, Zihan; Wu, Zhihao; Zheng, Chenghui; Wang, Shiping
分享
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Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View
IEEE TRANSACTIONS ON MULTIMEDIA
IF
9.7
2024-01-01
1
PRE
AI
Fang, Zihan; Du, Shide; Cai, Zhiling; Lan, Shiyang; Wu, Chunming; Tan, Yanchao; Wang, Shiping
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Contrastive Consensus Graph Learning for Multi-View Clustering
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
IF
19.2
2022-11-01
19
OA
AI
Wang, Shiping; Lin, Xincan; Fang, Zihan; Du, Shide; Xiao, Guobao
分享
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A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity
一种通用的可解释的多视图聚类框架:从同质性到异质性
IEEE Transactions on Computational Social Systems
IF
4.9
0
PRE
AI
Chunming Wu; Zihan Fang; Shide Du; Shiping Wang
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研究方向
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合作学者
合作期刊
吴
吴忠帅
(Zhong‐Shuai Wu)
H 指数: 105 · 论文数: 450
Z
Zhouchen Lin
H 指数: 70 · 论文数: 515
S
Shiping Wang
H 指数: 62 · 论文数: 239
张乐
(Le Zhang)
H 指数: 51 · 论文数: 580
王
王石平
(Shiping Wang)
H 指数: 41 · 论文数: 310
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