Lei Yuan

According to our database, Lei Yuan authored at least 16 papers between 2009 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Bi-level multi-source learning for heterogeneous block-wise missing data.

Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye

NeuroImage, 2014

Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.

Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye

Bioinform., 2014

2013

Structured Sparse Learning and Its Applications to Biomedical and Biological Data.

Lei Yuan

PhD thesis, 2013

Efficient Methods for Overlapping Group Lasso.

Lei Yuan, Jun Liu, Jieping Ye

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.

Yalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson

NeuroImage, 2013

Image-level and group-level models for Drosophila gene expression pattern annotation.

Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye

BMC Bioinform., 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.

Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.

Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Guaranteed Sparse Recovery under Linear Transformation.

Ji Liu, Lei Yuan, Jieping Ye

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.

Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye

NeuroImage, 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.

Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye

BMC Bioinform., 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.

Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Feature grouping and selection over an undirected graph.

Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

A multi-task learning formulation for predicting disease progression.

Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

An efficient algorithm for a class of fused lasso problems.

Jun Liu, Lei Yuan, Jieping Ye

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Drosophila gene expression pattern annotation using sparse features and term-term interactions.

Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009