| A multi-task learning formulation for predicting disease progression J Zhou, L Yuan, J Liu, J Ye Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 228 | 2011 |
| An efficient algorithm for a class of fused lasso problems J Liu, L Yuan, J Ye Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 178 | 2010 |
| Multi-Source Feature Learning For Joint Analysis Of Incomplete Multiple Heterogeneous Neuroimaging Data L Yuan, Y Wang, PM Thompson, VA Narayan, J Ye NeuroImage, 2012 | 159 | 2012 |
| Feature grouping and selection over an undirected graph S Yang, L Yuan, YC Lai, X Shen, P Wonka, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 127 | 2012 |
| Efficient Methods for Overlapping Group Lasso L Yuan, J Liu, J Ye NIPS, 2011 | 125 | 2011 |
| 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 | 71 | 2014 |
| 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 | 67 | 2013 |
| Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis Y Wang, L Yuan, J Shi, A Greve, J Ye, AW Toga, AL Reiss, PM Thompson Neuroimage 74, 209-230, 2013 | 49 | 2013 |
| Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data L Yuan, Y Wang, PM Thompson, VA Narayan, J Ye The 18th ACM SIGKDD International Conference On Knowledge Discovery and Data …, 2012 | 46 | 2012 |
| Drosophila gene expression pattern annotation using sparse features and term-term interactions S Ji, L Yuan, YX Li, ZH Zhou, S Kumar, J Ye Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 35 | 2009 |
| Feafiner: biomarker identification from medical data through feature generalization and selection J Zhou, Z Lu, J Sun, L Yuan, F Wang, J Ye Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 29 | 2013 |
| Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval L Yuan, A Woodard, S Ji, Y Jiang, Z Zhou, S Kumar, J Ye BMC Bioinformatics, 2012 | 21 | 2012 |
| A modified binary particle swarm optimization algorithm for permutation flow shop problem L Yuan, ZD Zhao 2007 International Conference on Machine Learning and Cybernetics 2, 902-907, 2007 | 18 | 2007 |
| Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression L Yuan, C Pan, S Ji, M McCutchan, ZH Zhou, SJ Newfeld, S Kumar, J Ye Bioinformatics 30 (2), 266-273, 2014 | 17 | 2014 |
| Guaranteed sparse recovery under linear transformation J Liu, L Yuan, J Ye International Conference on Machine Learning, 91-99, 2013 | 17 | 2013 |
| Image-level and group-level models for Drosophila gene expression pattern annotation Q Sun, S Muckatira, L Yuan, S Ji, S Newfeld, S Kumar, J Ye BMC bioinformatics 14 (1), 1-13, 2013 | 14 | 2013 |
| Dictionary lasso: Guaranteed sparse recovery under linear transformation J Liu, L Yuan, J Ye arXiv preprint arXiv:1305.0047, 2013 | 6 | 2013 |
| Dictionary lasso: Guaranteed sparse recovery under linear transformation J Liu, L Yuan, J Ye arXiv preprint arXiv:1305.0047, 2013 | 6 | 2013 |
| Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments D Zha, W Ma, L Yuan, X Hu, J Liu arXiv preprint arXiv:2101.08152, 2021 | 5 | 2021 |
| A novel model of working set selection for SMO decomposition methods ZD Zhao, L Yuan, YX Wang, FS Bao, SY Zhang, YF Sun 19th IEEE International Conference on Tools with Artificial Intelligence …, 2007 | 5 | 2007 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
