2021

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"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation
Xingjian Li | Haoyi Xiong | Zeyu Chen | Jun Huan | Cheng-Zhong Xu | Dejing Dou
2021 Volume 12 Issue 5

2019

doi dblp
Measuring Conditional Independence by Independent Residuals for Causal Discovery
Hao Zhang | Shuigeng Zhou | Jihong Guan | Jun Huan
2019 Volume 10 Issue 5

2018

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Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity
Xiaoli Li | Jun Huan
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2016

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Discriminative View Learning for Single View Co-Training
Joseph St. Amand | Jun Huan
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

doi dblp
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers
Xiaoli Li | Jun Huan
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2015

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Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning
Meenakshi Mishra | Jun Huan
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2014

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Automatic Social Circle Detection Using Multi-View Clustering
Yuhao Yang | Chao Lan | Xiaoli Li | Bo Luo | Jun Huan
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

2012

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CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Brian Quanz | Jun Huan
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

doi dblp
Non-stationary bayesian networks based on perfect simulation
Yi Jia | Wenrong Zeng | Jun Huan
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

2011

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Content based social behavior prediction: a multi-task learning approach
Hongliang Fei | Ruoyi Jiang | Yuhao Yang | Bo Luo | Jun Huan
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

2010

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Regularization and feature selection for networked features
Hongliang Fei | Brian Quanz | Jun Huan
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010

2009

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Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009

Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009

doi dblp
Large margin transductive transfer learning
Brian Quanz | Jun Huan
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009

doi dblp
L2 norm regularized feature kernel regression for graph data
Hongliang Fei | Jun Huan
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009

2008

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Biological pathways as features for microarray data classification
Brian Quanz | Meeyoung Park | Jun Huan
Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2008, Napa Valley, California, USA, October 30, 2008

doi dblp
Structure feature selection for graph classification
Hongliang Fei | Jun Huan
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008

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