| 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, 1813-1821, 2010 | 1606 | 2010 |
| Learning a Mahalanobis distance metric for data clustering and classification S Xiang, F Nie, C Zhang Pattern recognition 41 (12), 3600-3612, 2008 | 585 | 2008 |
| 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 | 419 | 2011 |
| 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 | 401 | 2010 |
| Multi-view k-means clustering on big data X Cai, F Nie, H Huang Twenty-Third International Joint conference on artificial intelligence, 2013 | 400 | 2013 |
| Clustering and projected clustering with adaptive neighbors F Nie, X Wang, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 396 | 2014 |
| 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 | 365 | 2013 |
| Trace ratio criterion for feature selection. F Nie, S Xiang, Y Jia, C Zhang, S Yan AAAI 2, 671-676, 2008 | 339 | 2008 |
| 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 | 309 | 2016 |
| 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 | 285 | 2010 |
| 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 | 277 | 2012 |
| 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 (2), 113-127, 2015 | 256 | 2015 |
| Multi-view clustering and feature learning via structured sparsity H Wang, F Nie, H Huang International conference on machine learning, 352-360, 2013 | 250 | 2013 |
| Trace ratio problem revisited Y Jia, F Nie, C Zhang IEEE Transactions on Neural Networks 20 (4), 729-735, 2009 | 250 | 2009 |
| Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering F Nie, Z Zeng, IW Tsang, D Xu, C Zhang IEEE Transactions on Neural Networks 22 (11), 1796-1808, 2011 | 229 | 2011 |
| 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 | 221 | 2015 |
| 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), 2012 | 216 | 2012 |
| Heterogeneous image feature integration via multi-modal spectral clustering X Cai, F Nie, H Huang, F Kamangar CVPR 2011, 1977-1984, 2011 | 212 | 2011 |
| A convex formulation for semi-supervised multi-label feature selection X Chang, F Nie, Y Yang, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 211 | 2014 |
| Robust principal component analysis with non-greedy l1-norm maximization F Nie, H Huang, C Ding, D Luo, H Wang IJCAI proceedings-international joint conference on artificial intelligence …, 2011 | 207 | 2011 |
Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghDirección de correo verificada de pitt.edu
