Travelled to:1 × Canada
1 × Finland
1 × France
5 × USA
Collaborated with:J.Ye S.Ji J.Liu F.He J.Zhou J.Liu L.Tang Z.Zhao H.Liu B.Ceran Q.Li M.Wu
Talks about:learn (7) kernel (4) program (3) spars (3) task (3) discrimin (2) structur (2) quadrat (2) multipl (2) rank (2)
Person: Jianhui Chen
DBLP: Chen:Jianhui
Contributed to:
20112010
200920092008200820072007
2018Wrote 10 papers:
- KDD-2011-ChenZY #learning #multi #rank #robust
- Integrating low-rank and group-sparse structures for robust multi-task learning (JC, JZ, JY), pp. 42–50.
- KDD-2010-ChenLY #learning #multi #rank
- Learning incoherent sparse and low-rank patterns from multiple tasks (JC, JL, JY), pp. 1179–1188.
- ICML-2009-ChenTLY #learning #multi
- A convex formulation for learning shared structures from multiple tasks (JC, LT, JL, JY), pp. 137–144.
- KDD-2009-LiuCY #scalability
- Large-scale sparse logistic regression (JL, JC, JY), pp. 547–556.
- ICML-2008-ChenY #kernel
- Training SVM with indefinite kernels (JC, JY), pp. 136–143.
- KDD-2008-ChenJCLWY #classification #kernel #learning
- Learning subspace kernels for classification (JC, SJ, BC, QL, MW, JY), pp. 106–114.
- ICML-2007-YeCJ #kernel #learning #parametricity #programming
- Discriminant kernel and regularization parameter learning via semidefinite programming (JY, JC, SJ), pp. 1095–1102.
- KDD-2007-ChenZYL #adaptation #clustering #distance #learning #metric
- Nonlinear adaptive distance metric learning for clustering (JC, ZZ, JY, HL), pp. 123–132.
- KDD-2007-YeJC #analysis #kernel #learning #matrix #polynomial #programming
- Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming (JY, SJ, JC), pp. 854–863.
- ASE-2018-ChenH #control flow #smt #verification
- Control flow-guided SMT solving for program verification (JC, FH), pp. 351–361.