| * | 2009 |
|---|
| 14 | EE | Jianhui Chen,
Ning Zhong:
Data-Brain Modeling for Systematic Brain Informatics.
Brain Informatics 2009: 182-193 |
| 13 | EE | Jianhui Chen,
Lei Tang,
Jun Liu,
Jieping Ye:
A convex formulation for learning shared structures from multiple tasks.
ICML 2009: 18 |
| 12 | EE | Jun Liu,
Jianhui Chen,
Songcan Chen,
Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification.
IJCAI 2009: 1144-1149 |
| 11 | EE | Lei Tang,
Jianhui Chen,
Jieping Ye:
On Multiple Kernel Learning with Multiple Labels.
IJCAI 2009: 1255-1260 |
| 10 | EE | Jun Liu,
Jianhui Chen,
Jieping Ye:
Large-scale sparse logistic regression.
KDD 2009: 547-556 |
| 2008 |
|---|
| 9 | EE | Jianhui Chen,
Jieping Ye:
Training SVM with indefinite kernels.
ICML 2008: 136-143 |
| 8 | EE | Jianhui Chen,
Shuiwang Ji,
Betul Ceran,
Qi Li,
Mingrui Wu,
Jieping Ye:
Learning subspace kernels for classification.
KDD 2008: 106-114 |
| 7 | EE | Jianhui Chen,
Ning Zhong:
Data-Brain Modeling Based on Brain Informatics Methodology.
Web Intelligence 2008: 41-47 |
| 6 | EE | Jieping Ye,
Jianhui Chen,
Ravi Janardan,
Sudhir Kumar:
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
TKDD 2(1): (2008) |
| 2007 |
|---|
| 5 | EE | Jianhui Chen,
Jieping Ye,
Qi Li:
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
CVPR 2007 |
| 4 | EE | Jieping Ye,
Jianhui Chen,
Shuiwang Ji:
Discriminant kernel and regularization parameter learning via semidefinite programming.
ICML 2007: 1095-1102 |
| 3 | EE | Yinqing Li,
Jianhui Chen:
A Denial-of-Service Resistant Authentication Solution for Security Protocols.
IITA 2007: 103-106 |
| 2 | EE | Jianhui Chen,
Zheng Zhao,
Jieping Ye,
Huan Liu:
Nonlinear adaptive distance metric learning for clustering.
KDD 2007: 123-132 |
| 1 | EE | Jieping Ye,
Shuiwang Ji,
Jianhui Chen:
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
KDD 2007: 854-863 |
