Travelled to:1 × Australia
1 × Canada
1 × United Kingdom
3 × China
5 × USA
Collaborated with:H.Fei B.Quanz C.Lan R.Jiang J.Zhang Y.Yang B.Luo Y.Jia W.Zeng W.Wang J.Prins J.Yang X.Li
Talks about:featur (5) multi (5) learn (5) graph (5) view (5) network (3) data (3) supervis (2) structur (2) regular (2)
Person: Jun Huan
DBLP: Huan:Jun
Contributed to:
2015
2014201220122011201120102010200920082004Wrote 13 papers:
- KDD-2015-LanH #complexity #learning #multi
- Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning (CL, JH), pp. 627–634.
- CIKM-2014-YangLLLH #automation #clustering #detection #multi #social #using
- Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
- CIKM-2012-JiaZH #network #simulation
- Non-stationary bayesian networks based on perfect simulation (YJ, WZ, JH), pp. 1095–1104.
- CIKM-2012-QuanzH #generative #learning #multi #named
- CoNet: feature generation for multi-view semi-supervised learning with partially observed views (BQ, JH), pp. 1273–1282.
- KDD-2012-ZhangH #induction #learning #multi
- Inductive multi-task learning with multiple view data (JZ, JH), pp. 543–551.
- CIKM-2011-FeiJYLH #approach #behaviour #learning #multi #predict #social
- Content based social behavior prediction: a multi-task learning approach (HF, RJ, YY, BL, JH), pp. 995–1000.
- KDD-2011-JiangFH #data type #graph #locality #network
- Anomaly localization for network data streams with graph joint sparse PCA (RJ, HF, JH), pp. 886–894.
- CIKM-2010-FeiQH #feature model
- Regularization and feature selection for networked features (HF, BQ, JH), pp. 1893–1896.
- KDD-2010-FeiH #classification #functional #graph
- Boosting with structure information in the functional space: an application to graph classification (HF, JH), pp. 643–652.
- CIKM-2009-FeiH #graph #kernel
- L2 norm regularized feature kernel regression for graph data (HF, JH), pp. 593–600.
- CIKM-2009-QuanzH #learning #scalability
- Large margin transductive transfer learning (BQ, JH), pp. 1327–1336.
- CIKM-2008-FeiH #classification #feature model #graph
- Structure feature selection for graph classification (HF, JH), pp. 991–1000.
- KDD-2004-HuanWPY #database #graph #mining #named
- SPIN: mining maximal frequent subgraphs from graph databases (JH, WW, JP, JY), pp. 581–586.