| Multiview clustering: A scalable and parameter-free bipartite graph fusion method X Li, H Zhang, R Wang, F Nie IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 330-344, 2020 | 228 | 2020 |
| Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding Z Hu, F Nie, R Wang, X Li Information Fusion 55, 251-259, 2020 | 166 | 2020 |
| Fast and orthogonal locality preserving projections for dimensionality reduction R Wang, F Nie, R Hong, X Chang, X Yang, W Yu IEEE Transactions on Image Processing 26 (10), 5019-5030, 2017 | 146 | 2017 |
| Robust 2DPCA With Non-greedy -Norm Maximization for Image Analysis R Wang, F Nie, X Yang, F Gao, M Yao IEEE transactions on cybernetics 45 (5), 1108-1112, 2014 | 126 | 2014 |
| Fast spectral clustering with anchor graph for large hyperspectral images R Wang, F Nie, W Yu IEEE Geoscience and Remote Sensing Letters 14 (11), 2003-2007, 2017 | 119 | 2017 |
| Multi-view spectral clustering via sparse graph learning Z Hu, F Nie, W Chang, S Hao, R Wang, X Li Neurocomputing 384, 1-10, 2020 | 87 | 2020 |
| Large graph clustering with simultaneous spectral embedding and discretization Z Wang, Z Li, R Wang, F Nie, X Li IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4426 …, 2020 | 73 | 2020 |
| Towards Robust Discriminative Projections Learning via Non-Greedy -Norm MinMax F Nie, Z Wang, R Wang, Z Wang, X Li IEEE transactions on pattern analysis and machine intelligence 43 (6), 2086-2100, 2019 | 69 | 2019 |
| Parameter-free weighted multi-view projected clustering with structured graph learning R Wang, F Nie, Z Wang, H Hu, X Li IEEE Transactions on Knowledge and Data Engineering 32 (10), 2014-2025, 2019 | 68 | 2019 |
| Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. Z Wang, F Nie, L Tian, R Wang, X Li IJCAI, 3009-3015, 2020 | 66 | 2020 |
| Feature learning viewpoint of AdaBoost and a new algorithm F Wang, Z Li, F He, R Wang, W Yu, F Nie IEEE Access 7, 149890-149899, 2019 | 66 | 2019 |
| Fast multi-view clustering via nonnegative and orthogonal factorization B Yang, X Zhang, F Nie, F Wang, W Yu, R Wang IEEE Transactions on Image Processing 30, 2575-2586, 2020 | 63 | 2020 |
| Low rank regularization: A review Z Hu, F Nie, R Wang, X Li Neural Networks 136, 218-232, 2021 | 60 | 2021 |
| Fast spectral clustering learning with hierarchical bipartite graph for large-scale data X Yang, W Yu, R Wang, G Zhang, F Nie Pattern Recognition Letters 130, 345-352, 2020 | 60 | 2020 |
| Scalable graph-based clustering with nonnegative relaxation for large hyperspectral image R Wang, F Nie, Z Wang, F He, X Li IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7352-7364, 2019 | 60 | 2019 |
| Submanifold-preserving discriminant analysis with an auto-optimized graph F Nie, Z Wang, R Wang, X Li IEEE transactions on cybernetics 50 (8), 3682-3695, 2019 | 60 | 2019 |
| Subspace sparse discriminative feature selection F Nie, Z Wang, L Tian, R Wang, X Li IEEE transactions on cybernetics 52 (6), 4221-4233, 2020 | 55 | 2020 |
| Adaptive local linear discriminant analysis F Nie, Z Wang, R Wang, Z Wang, X Li ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (1), 1-19, 2020 | 55 | 2020 |
| Efficient tree classifiers for large scale datasets F Wang, Q Wang, F Nie, W Yu, R Wang Neurocomputing 284, 70-79, 2018 | 53 | 2018 |
| Multi-view clustering via nonnegative and orthogonal graph reconstruction S Shi, F Nie, R Wang, X Li IEEE transactions on neural networks and learning systems 34 (1), 201-214, 2021 | 50 | 2021 |
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
