Travelled to:1 × China
1 × France
4 × USA
Collaborated with:J.Ye J.Liu J.Zhou Y.Wang P.M.Thompson J.Liu V.A.Narayan S.Xiang W.Fan Z.Lu J.Sun F.Wang S.Yang Y.Lai X.Shen P.Wonka S.Ji Y.Li Z.Zhou S.Kumar
Talks about:multi (4) featur (3) learn (3) data (3) predict (2) select (2) diseas (2) spars (2) sourc (2) term (2)
Person: Lei Yuan
DBLP: Yuan:Lei
Contributed to:
2013
20132012201120102009Wrote 8 papers:
- ICML-c3-2013-0002YY #linear
- Guaranteed Sparse Recovery under Linear Transformation (JL, LY, JY), pp. 91–99.
- KDD-2013-XiangYFWTY #learning #multi #predict
- Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.
- KDD-2013-ZhouLSYWY #identification #named
- FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
- KDD-2012-YangYLSWY #graph
- Feature grouping and selection over an undirected graph (SY, LY, YCL, XS, PW, JY), pp. 922–930.
- KDD-2012-YuanWTNY #analysis #learning #multi
- Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data (LY, YW, PMT, VAN, JY), pp. 1149–1157.
- KDD-2011-ZhouYLY #learning #multi #predict
- A multi-task learning formulation for predicting disease progression (JZ, LY, JL, JY), pp. 814–822.
- KDD-2010-LiuYY #algorithm #performance #problem
- An efficient algorithm for a class of fused lasso problems (JL, LY, JY), pp. 323–332.
- KDD-2009-JiYLZKY #interactive #using
- Drosophila gene expression pattern annotation using sparse features and term-term interactions (SJ, LY, YXL, ZHZ, SK, JY), pp. 407–416.