| Spectral feature selection for supervised and unsupervised learning Z Zhao, H Liu Proceedings of the 24th international conference on Machine learning, 1151-1157, 2007 | 1127 | 2007 |
| Feature selection: An ever evolving frontier in data mining H Liu, H Motoda, R Setiono, Z Zhao Feature selection in data mining, 4-13, 2010 | 569 | 2010 |
| Searching for interacting features in subset selection Z Zhao, H Liu Intelligent Data Analysis 13 (2), 207-228, 2009 | 436 | 2009 |
| Advancing feature selection research Z Zhao, F Morstatter, S Sharma, S Alelyani, A Anand, H Liu ASU feature selection repository, 1-28, 2010 | 426 | 2010 |
| Semi-supervised feature selection via spectral analysis Z Zhao, H Liu Proceedings of the 2007 SIAM international conference on data mining, 641-646, 2007 | 377 | 2007 |
| On similarity preserving feature selection Z Zhao, L Wang, H Liu, J Ye IEEE Transactions on Knowledge and Data engineering 25 (3), 619-632, 2011 | 369 | 2011 |
| Highly efficient photothermal nanoagent achieved by harvesting energy via excited-state intramolecular motion within nanoparticles Z Zhao, C Chen, W Wu, F Wang, L Du, X Zhang, Y Xiong, X He, Y Cai, ... Nature communications 10 (1), 768, 2019 | 329 | 2019 |
| Efficient spectral feature selection with minimum redundancy Z Zhao, L Wang, H Liu Proceedings of the AAAI conference on artificial intelligence 24 (1), 673-678, 2010 | 319 | 2010 |
| Evolving feature selection H Liu, ER Dougherty, JG Dy, K Torkkola, E Tuv, H Peng, C Ding, F Long, ... IEEE Intelligent systems 20 (6), 64-76, 2005 | 284 | 2005 |
| Mutational landscape of secondary glioblastoma guides MET-targeted trial in brain tumor H Hu, Q Mu, Z Bao, Y Chen, Y Liu, J Chen, K Wang, Z Wang, Y Nam, ... Cell 175 (6), 1665-1678. e18, 2018 | 272 | 2018 |
| Discriminative k-means for clustering J Ye, Z Zhao, M Wu Advances in neural information processing systems 20, 2007 | 264 | 2007 |
| Disruption of zebrafish (Danio rerio) reproduction upon chronic exposure to TiO2 nanoparticles J Wang, X Zhu, X Zhang, Z Zhao, H Liu, R George, J Wilson-Rawls, ... Chemosphere 83 (4), 461-467, 2011 | 217 | 2011 |
| Adaptive distance metric learning for clustering J Ye, Z Zhao, H Liu 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007 | 139 | 2007 |
| Heterogeneous data fusion for Alzheimer's disease study J Ye, K Chen, T Wu, J Li, Z Zhao, R Patel, M Bae, R Janardan, H Liu, ... Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 138 | 2008 |
| Facile access to deep red/near-infrared emissive AIEgens for efficient non-doped OLEDs WWH Lee, Z Zhao, Y Cai, Z Xu, Y Yu, Y Xiong, RTK Kwok, Y Chen, ... Chemical Science 9 (28), 6118-6125, 2018 | 109 | 2018 |
| Massively parallel feature selection: an approach based on variance preservation Z Zhao, R Zhang, J Cox, D Duling, W Sarle Machine learning 92, 195-220, 2013 | 105 | 2013 |
| Manipulating data and dimension reduction methods: Feature selection H Liu, Z Zhao Computational Complexity: theory, techniques, and applications, 1790-1800, 2012 | 100 | 2012 |
| Safe screening with variational inequalities and its application to lasso J Liu, Z Zhao, J Wang, J Ye International Conference on Machine Learning, 289-297, 2014 | 83 | 2014 |
| Nonlinear adaptive distance metric learning for clustering J Chen, Z Zhao, J Ye, H Liu Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 83 | 2007 |
| Genome-wide DNA methylome analysis reveals epigenetically dysregulated non-coding RNAs in human breast cancer Y Li, Y Zhang, S Li, J Lu, J Chen, Y Wang, Y Li, J Xu, X Li Scientific reports 5 (1), 8790, 2015 | 74 | 2015 |
Huan LiuRegents Professor, Arizona State University在 asu.edu 的电子邮件经过验证
