| Robust principal component analysis via capped norms Q Sun, S Xiang, J Ye Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 72 | 2013 |
| Multi-source learning with block-wise missing data for alzheimer's disease prediction S Xiang, L Yuan, W Fan, Y Wang, PM Thompson, J Ye Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 60 | 2013 |
| Bi-level multi-source learning for heterogeneous block-wise missing data S Xiang, L Yuan, W Fan, Y Wang, PM Thompson, J Ye, ... NeuroImage 102, 192-206, 2014 | 54 | 2014 |
| Efficient Sparse Group Feature Selection via Nonconvex Optimization S Xiang, X Shen, J Ye Proceedings of The 30th International Conference on Machine Learning, 284-292, 2012 | 47 | 2012 |
| Optimal exact least squares rank minimization S Xiang, Y Zhu, X Shen, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 25 | 2012 |
| Simultaneous feature and feature group selection through hard thresholding S Xiang, T Yang, J Ye Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 24 | 2014 |
| Efficient nonconvex sparse group feature selection via continuous and discrete optimization S Xiang, X Shen, J Ye Artificial Intelligence 224, 28-50, 2015 | 17 | 2015 |
| Simultaneous Variable and Feature Group Selection in Heterogeneous Learning: Optimization and Applications S Xiang Arizona State University, 2014 | | 2014 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
