| Rank consistency induced multiview subspace clustering via low-rank matrix factorization J Guo, Y Sun, J Gao, Y Hu, B Yin IEEE Transactions on Neural Networks and Learning Systems 33 (7), 3157-3170, 2022 | 36 | 2022 |
| Logarithmic schatten-p norm minimization for tensorial multi-view subspace clustering J Guo, Y Sun, J Gao, Y Hu, B Yin IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3396-3410, 2023 | 35 | 2023 |
| Multi-view subspace clustering with block diagonal representation J Guo, W Yin, Y Sun, Y Hu IEEE Access 7, 84829-84838, 2019 | 24 | 2019 |
| Multi-attribute subspace clustering via auto-weighted tensor nuclear norm minimization J Guo, Y Sun, J Gao, Y Hu, B Yin IEEE Transactions on Image Processing 31, 7191-7205, 2022 | 8 | 2022 |
| Low rank representation on product grassmann manifolds for multi-view subspace clustering J Guo, Y Sun, J Gao, Y Hu, B Yin 2020 25th International Conference on Pattern Recognition (ICPR), 907-914, 2021 | 8 | 2021 |
| Robust adaptive linear discriminant analysis with bidirectional reconstruction constraint J Guo, Y Sun, J Gao, Y Hu, B Yin ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-20, 2020 | 8 | 2020 |
| Adaptive graph convolutional clustering network with optimal probabilistic graph J Zhao#, J Guo#, Y Sun, J Gao, S Wang, B Yin Neural Networks 156, 271-284, 2022 | 7 | 2022 |
| Graph Neural Networks with Soft Association between Topology and Attribute Y Yang, Y Sun, S Wang, J Guo, J Gao, F Ju, B Yin Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9260-9268, 2024 | 5 | 2024 |
| Double manifolds regularized non-negative matrix factorization for data representation J Guo, S Yin, Y Sun, Y Hu 2020 25th International Conference on Pattern Recognition (ICPR), 901-906, 2021 | 4 | 2021 |
| Robust discriminant analysis with feature selective projection and between-classes structural incoherence J Guo, Y Sun, J Gao, Y Hu, B Yin Digital Signal Processing 134, 103896, 2023 | 3 | 2023 |
| Robust graph convolutional clustering with adaptive graph learning J Zhao, Y Sun, J Guo, J Gao, B Yin 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Globality constrained adaptive graph regularized non‐negative matrix factorization for data representation Y Sun, J Wang, J Guo, Y Hu, B Yin IET Image Processing 16 (10), 2577-2592, 2022 | 2 | 2022 |
| DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations J Wang, J Guo, Y Sun, J Gao, S Wang, Y Yang, B Yin IEEE Transactions on Big Data, 2024 | 1 | 2024 |
| Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Y Yang, Y Sun, J Guo, J Gao, S Wang, F Ju, B Yin arXiv preprint arXiv:2411.11284, 2024 | | 2024 |
| Fast Sparse Dynamic Matrix Estimation Method With Differential Information for Industrial Process Monitoring M Cui, X Ma, Y Wang, J Guo, T Hou IEEE Transactions on Control Systems Technology, 2024 | | 2024 |
| Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks Y Yang, Y Sun, J Guo, S Wang, B Yin International Conference on Artificial Neural Networks, 190-201, 2024 | | 2024 |
| Improved Attributed Graph Clustering with Representation and Structure Augmentation J Guo, T Yin, T Zhao, J Zhao, Y Sun, J Gao, Y Wang 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs Q Zhang, Y Sun, J Guo, S Wang, J Li, J Gao, B Yin ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Attributed Non-negative Matrix Multi-factorization for Data Representation J Wang, Y Sun, J Guo, Y Hu, B Yin Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | | 2021 |
Baocai Yin在 bjut.edu.cn 的电子邮件经过验证
