| 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 | 589 | 2013 |
| Feature selection via joint embedding learning and sparse regression C Hou, F Nie, D Yi, Y Wu Twenty-Second international joint conference on Artificial Intelligence, 2011 | 220 | 2011 |
| Multi-view unsupervised feature selection with adaptive similarity and view weight C Hou, F Nie, H Tao, D Yi IEEE Transactions on Knowledge and Data Engineering 29 (9), 1998-2011, 2017 | 175 | 2017 |
| Effective discriminative feature selection with nontrivial solution H Tao, C Hou, F Nie, Y Jiao, D Yi IEEE transactions on neural networks and learning systems 27 (4), 796-808, 2015 | 168 | 2015 |
| Discriminative embedded clustering: A framework for grouping high-dimensional data C Hou, F Nie, D Yi, D Tao IEEE transactions on neural networks and learning systems 26 (6), 1287-1299, 2014 | 131 | 2014 |
| Multiple view semi-supervised dimensionality reduction C Hou, C Zhang, Y Wu, F Nie Pattern Recognition 43 (3), 720-730, 2010 | 126 | 2010 |
| Scalable multi-view semi-supervised classification via adaptive regression H Tao, C Hou, F Nie, J Zhu, D Yi IEEE Transactions on Image Processing 26 (9), 4283-4296, 2017 | 124 | 2017 |
| One-pass learning with incremental and decremental features C Hou, ZH Zhou IEEE transactions on pattern analysis and machine intelligence 40 (11), 2776 …, 2017 | 101 | 2017 |
| Multiple rank multi-linear SVM for matrix data classification C Hou, F Nie, C Zhang, D Yi, Y Wu Pattern Recognition 47 (1), 454-469, 2014 | 89 | 2014 |
| Stable local dimensionality reduction approaches C Hou, C Zhang, Y Wu, Y Jiao Pattern Recognition 42 (9), 2054-2066, 2009 | 89 | 2009 |
| Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction F Nie, S Xiang, Y Liu, C Hou, C Zhang Pattern Recognition Letters 33 (5), 485-491, 2012 | 65 | 2012 |
| Unsupervised single and multiple views feature extraction with structured graph W Zhuge, F Nie, C Hou, D Yi IEEE Transactions on Knowledge and Data Engineering 29 (10), 2347-2359, 2017 | 63 | 2017 |
| Efficient image classification via multiple rank regression C Hou, F Nie, D Yi, Y Wu IEEE Transactions on Image Processing 22 (1), 340-352, 2012 | 63 | 2012 |
| Latent complete row space recovery for multi-view subspace clustering H Tao, C Hou, Y Qian, J Zhu, D Yi IEEE Transactions on Image Processing 29, 8083-8096, 2020 | 57 | 2020 |
| Joint embedding learning and low-rank approximation: A framework for incomplete multiview learning H Tao, C Hou, D Yi, J Zhu, D Hu IEEE transactions on cybernetics 51 (3), 1690-1703, 2019 | 57 | 2019 |
| Reliable multi-view clustering H Tao, C Hou, X Liu, T Liu, D Yi, J Zhu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 56 | 2018 |
| Simultaneous representation learning and clustering for incomplete multi-view data. W Zhuge, C Hou, X Liu, H Tao, D Yi IJCAI 7, 4482-4488, 2019 | 55 | 2019 |
| Functional parcellation of human brain precuneus using density-based clustering Z Luo, LL Zeng, J Qin, C Hou, H Shen, D Hu Cerebral cortex 30 (1), 269-282, 2020 | 50 | 2020 |
| Multiview classification with cohesion and diversity H Tao, C Hou, D Yi, J Zhu IEEE transactions on cybernetics 50 (5), 2124-2137, 2018 | 50 | 2018 |
| Dimension reduction for non-Gaussian data by adaptive discriminative analysis T Luo, C Hou, F Nie, D Yi IEEE transactions on cybernetics 49 (3), 933-946, 2018 | 48 | 2018 |
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