Efficient and robust feature selection via joint ℓ2, 1-norms minimization F Nie, H Huang, X Cai, C Ding Advances in neural information processing systems 23, 2010 | 2434 | 2010 |
Clustering and projected clustering with adaptive neighbors F Nie, X Wang, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 908 | 2014 |
The constrained laplacian rank algorithm for graph-based clustering F Nie, X Wang, M Jordan, H Huang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 784 | 2016 |
Learning a Mahalanobis distance metric for data clustering and classification S Xiang, F Nie, C Zhang Pattern recognition 41 (12), 3600-3612, 2008 | 772 | 2008 |
Multi-view k-means clustering on big data X Cai, F Nie, H Huang Twenty-Third International Joint conference on artificial intelligence, 2013 | 707 | 2013 |
Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification. F Nie, J Li, X Li IJCAI 9, 1881-1887, 2016 | 632 | 2016 |
Multi-view subspace clustering H Gao, F Nie, X Li, H Huang Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015 | 575 | 2015 |
Joint embedding learning and sparse regression: A framework for unsupervised feature selection C Hou, F Nie, X Li, D Yi, Y Wu IEEE transactions on cybernetics 44 (6), 793-804, 2013 | 565 | 2013 |
Multi-view clustering and semi-supervised classification with adaptive neighbours F Nie, G Cai, X Li Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 556 | 2017 |
Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 545 | 2015 |
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction F Nie, D Xu, IWH Tsang, C Zhang IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010 | 537 | 2010 |
Multi-class active learning by uncertainty sampling with diversity maximization Y Yang, Z Ma, F Nie, X Chang, AG Hauptmann International Journal of Computer Vision 113, 113-127, 2015 | 511 | 2015 |
Self-weighted multiview clustering with multiple graphs. F Nie, J Li, X Li IJCAI, 2564-2570, 2017 | 500 | 2017 |
A multimedia retrieval framework based on semi-supervised ranking and relevance feedback Y Yang, F Nie, D Xu, J Luo, Y Zhuang, Y Pan IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (4), 723-742, 2011 | 464 | 2011 |
Trace ratio criterion for feature selection. F Nie, S Xiang, Y Jia, C Zhang, S Yan AAAI 2, 671-676, 2008 | 460 | 2008 |
Discriminative least squares regression for multiclass classification and feature selection S Xiang, F Nie, G Meng, C Pan, C Zhang IEEE transactions on neural networks and learning systems 23 (11), 1738-1754, 2012 | 458 | 2012 |
Image clustering using local discriminant models and global integration Y Yang, D Xu, F Nie, S Yan, Y Zhuang IEEE Transactions on Image Processing 19 (10), 2761-2773, 2010 | 415 | 2010 |
Multiview consensus graph clustering K Zhan, F Nie, J Wang, Y Yang IEEE Transactions on Image Processing 28 (3), 1261-1270, 2018 | 408 | 2018 |
Auto-weighted multi-view learning for image clustering and semi-supervised classification F Nie, G Cai, J Li, X Li IEEE Transactions on Image Processing 27 (3), 1501-1511, 2017 | 353 | 2017 |
Low-rank matrix recovery via efficient schatten p-norm minimization F Nie, H Huang, C Ding Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 655-661, 2012 | 351 | 2012 |