Multi-View Subspace Clustering With Block Diagonal Representation. - Jipeng Guo 001; Wenbin Yin; Yanfeng Sun; Yongli Hu (IEEE Access, 2019)

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ICPR, 2020)

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. - Jipeng Guo 001; Shuai Yin; Yanfeng Sun; Yongli Hu (ICPR, 2020)

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2020)

Attributed Non-negative Matrix Multi-factorization for Data Representation. - Jie Wang 134; Yanfeng Sun; Jipeng Guo 001; Yongli Hu; Baocai Yin (PRCV (4), 2021)

Robust Graph Convolutional Clustering With Adaptive Graph Learning. - Jiayi Zhao; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Baocai Yin (IJCNN, 2022)

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation. - Yanfeng Sun; Jie Wang 134; Jipeng Guo 001; Yongli Hu; Baocai Yin (IET Image Process., 2022)

Adaptive graph convolutional clustering network with optimal probabilistic graph. - Jiayi Zhao; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang; Baocai Yin (Neural Networks, 2022)

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Image Process., 2022)

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust discriminant analysis with feature selective projection and between-classes structural incoherence. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Digit. Signal Process., 2023)

Graph Neural Networks with Soft Association between Topology and Attribute. - Yachao Yang; Yanfeng Sun; Shaofan Wang; Jipeng Guo 001; Junbin Gao; Fujiao Ju; Baocai Yin (AAAI, 2024)

Comprehensive Multi-view Subspace Clustering with Global-and-Local Representation Learning. - Bin Xiao; Jipeng Guo 001; Juntao Hu; Yifan Dong; Youqing Wang (COCOA (1), 2024)

Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang; Baocai Yin (ICANN (5), 2024)

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. - Qi Zhang 095; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang; Jinghua Li; Junbin Gao; Baocai Yin (ICASSP, 2024)

Improved Attributed Graph Clustering with Representation and Structure Augmentation. - Jipeng Guo 001; Tengxiao Yin; Tianxiang Zhao 002; Jiayi Zhao; Yanfeng Sun; Junbin Gao; Youqing Wang (IJCNN, 2024)

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Shaofan Wang; Fujiao Ju; Baocai Yin (CoRR, 2024)

Triplets-based large-scale multi-view spectral clustering. - Tianchuan Yang; Chang-Dong Wang 001; Jipeng Guo 001; Xiangcheng Li 001; Man-Sheng Chen; Shuping Dang; Haiqiang Chen (Inf. Fusion, 2025)

FIGNN: Fuzzy Inference-Guided Graph Neural Network for Fault Diagnosis in Industrial Processes. - Youqing Wang; Tengxiao Yin; Shenggang Zhu; Xin Ma; Li Liang; Jipeng Guo 001 (IEEE Trans. Instrum. Meas., 2025)

Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global. - Jinlu Wang; Yanfeng Sun; Jiapu Wang; Junbin Gao; Shaofan Wang; Jipeng Guo 001 (CoRR, 2025)

Fast Sparse Dynamic Matrix Estimation Method With Differential Information for Industrial Process Monitoring. - Mingliang Cui; Xin Ma; Youqing Wang; Jipeng Guo 001; Tongze Hou (IEEE Trans. Control. Syst. Technol., 2025)

Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Xin Ma; Junbin Gao; Yongli Hu; Youqing Wang; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. - Jinlu Wang; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang; Yachao Yang; Baocai Yin (IEEE Trans. Big Data, 2025)