Jipeng Guo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Subspace Clustering

Matrix Factorization

Discriminant Analysis

Top Venues

IET Image Process.

Publications

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin
Graph Neural Networks with Soft Association between Topology and Attribute. AAAI (2024)
Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations. CoRR (2024)
Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. ICASSP (2024)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Robust discriminant analysis with feature selective projection and between-classes structural incoherence. Digit. Signal Process. 134 (2023)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. IEEE Trans. Image Process. 31 (2022)
Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin
Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN (2022)
Yanfeng Sun, Jie Wang, Jipeng Guo, Yongli Hu, Baocai Yin
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation. IET Image Process. 16 (10) (2022)
Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin
Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156 (2022)
Jie Wang, Yanfeng Sun, Jipeng Guo, Yongli Hu, Baocai Yin
Attributed Non-negative Matrix Multi-factorization for Data Representation. PRCV (4) (2021)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. ACM Trans. Knowl. Discov. Data 14 (6) (2020)
Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu
Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. ICPR (2020)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. ICPR (2020)
Jipeng Guo, Wenbin Yin, Yanfeng Sun, Yongli Hu
Multi-View Subspace Clustering With Block Diagonal Representation. IEEE Access 7 (2019)