 | 2012 |
|---|
| 12 |       | Xin Huang,
Hong Cheng,
Jiong Yang,
Jeffery Xu Yu,
Hongliang Fei,
Jun Huan:
Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.
DASFAA (1) 2012: 197-212 |
| 2011 |
|---|
| 11 | | Hongliang Fei,
Ruoyi Jiang,
Yuhao Yang,
Bo Luo,
Jun Huan:
Content based social behavior prediction: a multi-task learning approach.
CIKM 2011: 995-1000 |
| 10 | | Hongliang Fei,
Jun Huan:
Structured Feature Selection and Task Relationship Inference for Multi-task Learning.
ICDM 2011: 171-180 |
| 9 | | Ruoyi Jiang,
Hongliang Fei,
Jun Huan:
Anomaly localization for network data streams with graph joint sparse PCA.
KDD 2011: 886-894 |
| 2010 |
|---|
| 8 | | Meenakshi Mishra,
Hongliang Fei,
Jun Huan:
Computational prediction of toxicity.
BIBM 2010: 686-691 |
| 7 | | Hongliang Fei,
Brian Quanz,
Jun Huan:
Regularization and feature selection for networked features.
CIKM 2010: 1893-1896 |
| 6 | | Hongliang Fei,
Jun Huan:
Boosting with structure information in the functional space: an application to graph classification.
KDD 2010: 643-652 |
| 2009 |
|---|
| 5 | | Hongliang Fei,
Jun Huan:
L2 norm regularized feature kernel regression for graph data.
CIKM 2009: 593-600 |
| 4 | | Brian Quanz,
Hongliang Fei,
Jun Huan,
Joseph B. Evans,
Victor Frost,
Gary J. Minden,
Daniel D. Deavours,
Leon Searl,
Daniel DePardo,
Martin Kuehnhausen,
Daniel Fokum,
Matt Zeets,
Angela Oguna:
Anomaly Detection with Sensor Data for Distributed Security.
ICCCN 2009: 1-6 |
| 3 | | Hongliang Fei,
Brian Quanz,
Jun Huan:
GLSVM: Integrating Structured Feature Selection and Large Margin Classification.
ICDM Workshops 2009: 362-367 |
| 2008 |
|---|
| 2 | | Hongliang Fei,
Jun Huan:
Structure feature selection for chemical compound classification.
BIBE 2008: 1-6 |
| 1 | | Hongliang Fei,
Jun Huan:
Structure feature selection for graph classification.
CIKM 2008: 991-1000 |
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