| Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection H Zhang, D Wu, F Nie, R Wang, X Li Information Fusion 70, 129-140, 2021 | 57 | 2021 |
| Coordinate Descent Method for -means F Nie, J Xue, D Wu, R Wang, H Li, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2371-2385, 2021 | 55 | 2021 |
| Self-weighted clustering with adaptive neighbors F Nie, D Wu, R Wang, X Li IEEE transactions on neural networks and learning systems 31 (9), 3428-3441, 2020 | 46 | 2020 |
| Sparse PCA via -Norm Regularization for Unsupervised Feature Selection Z Li, F Nie, J Bian, D Wu, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5322-5328, 2021 | 43 | 2021 |
| Truncated robust principle component analysis with a general optimization framework F Nie, D Wu, R Wang, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 1081-1097, 2020 | 42 | 2020 |
| Unsupervised feature selection with weighted and projected adaptive neighbors Z Li, F Nie, D Wu, Z Hu, X Li IEEE Transactions on Cybernetics 53 (2), 1260-1271, 2021 | 36 | 2021 |
| Parameter-free consensus embedding learning for multiview graph-based clustering D Wu, F Nie, X Dong, R Wang, X Li IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7944-7950, 2021 | 33 | 2021 |
| Adaptive-order proximity learning for graph-based clustering D Wu, W Chang, J Lu, F Nie, R Wang, X Li Pattern Recognition 126, 108550, 2022 | 22 | 2022 |
| Multi-view clustering via mixed embedding approximation D Wu, F Nie, R Wang, X Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 16 | 2020 |
| Sparse trace ratio LDA for supervised feature selection Z Li, F Nie, D Wu, Z Wang, X Li IEEE transactions on cybernetics 54 (4), 2420-2433, 2023 | 12 | 2023 |
| An attention-based framework for multi-view clustering on Grassmann manifold D Wu, X Dong, F Nie, R Wang, X Li Pattern Recognition 128, 108610, 2022 | 12 | 2022 |
| Multi-view clustering with interactive mechanism D Wu, Z Hu, F Nie, R Wang, H Yang, X Li Neurocomputing 449, 378-388, 2021 | 12 | 2021 |
| Multi-view clustering based on invisible weights Z Li, D Wu, F Nie, R Wang, Z Sun, X Li IEEE Signal Processing Letters 28, 1051-1055, 2021 | 10 | 2021 |
| Generalization bottleneck in deep metric learning Z Hu, D Wu, F Nie, R Wang Information Sciences 581, 249-261, 2021 | 9 | 2021 |
| Emgc2f: Efficient multi-view graph clustering with comprehensive fusion D Wu, J Lu, F Nie, R Wang, Y Yuan IJCAI, 3566-3572, 2022 | 8 | 2022 |
| Double-attentive principle component analysis D Wu, H Zhang, F Nie, R Wang, C Yang, X Jia, X Li IEEE Signal Processing Letters 27, 1814-1818, 2020 | 7 | 2020 |
| Bidirectional probabilistic subspaces approximation for multiview clustering D Wu, X Dong, J Cao, R Wang, F Nie, X Li IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Balanced graph cut with exponential inter-cluster compactness D Wu, F Nie, J Lu, R Wang, X Li IEEE Transactions on Artificial Intelligence 3 (4), 498-505, 2021 | 6 | 2021 |
| Dependence-guided multi-view clustering X Dong, D Wu, F Nie, R Wang, X Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. D Wu, J Xu, X Dong, M Liao, R Wang, F Nie, X Li IJCAI, 3185-3191, 2021 | 6 | 2021 |
