Jun Huang
Jun Huang
Verified email at mist.i.u-tokyo.ac.jp - Homepage
TitleCited byYear
Learning label-specific features and class-dependent labels for multi-label classification
J Huang, G Li, Q Huang, X Wu
IEEE transactions on knowledge and data engineering 28 (12), 3309-3323, 2016
442016
Learning label specific features for multi-label classification
J Huang, G Li, Q Huang, X Wu
2015 IEEE International Conference on Data Mining, 181-190, 2015
382015
Joint feature selection and classification for multilabel learning
J Huang, G Li, Q Huang, X Wu
IEEE transactions on cybernetics 48 (3), 876-889, 2017
312017
Multi-label classification by exploiting local positive and negative pairwise label correlation
J Huang, G Li, S Wang, Z Xue, Q Huang
Neurocomputing 257, 164-174, 2017
172017
Group sensitive classifier chains for multi-label classification
J Huang, G Li, S Wang, W Zhang, Q Huang
2015 IEEE international conference on multimedia and expo (ICME), 1-6, 2015
152015
多标签分类器准确性评估方法的研究
秦锋, 黄俊, 程泽凯, 杨帆
计算机技术与发展, 46-49, 2010
72010
Categorizing social multimedia by neighborhood decision using local pairwise label correlation
J Huang, G Li, S Wang, Q Huang
2014 IEEE International Conference on Data Mining Workshop, 913-920, 2014
52014
Threshold determination algorithm for multi-label learning
F Qin, J Huang, ZK Cheng
Computer Engineering 21, 2010
5*2010
Learning Label-Specific Features for Multi-Label Classification with Missing Labels
J Huang, F Qin, X Zheng, Z Cheng, Z Yuan, W Zhang
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018
32018
Improving multi-label classification with missing labels by learning label-specific features
J Huang, F Qin, X Zheng, Z Cheng, Z Yuan, W Zhang, Q Huang
Information Sciences 492, 124-146, 2019
12019
Beyond appearance model: learning appearance variations for object tracking
G Li, B Ma, J Huang, Q Huang, W Zhang
Neurocomputing 214, 796-804, 2016
12016
A Study on Accuracy Evaluation Method for Multi-Label Classifier [J]
F QIN, J HUANG, Z CHENG, F YANG
Computer Technology and Development 1, 2010
12010
Beyond global fusion: A group-aware fusion approach for multi-view image clustering
Z Xue, G Li, S Wang, J Huang, W Zhang, Q Huang
Information Sciences 493, 176-191, 2019
2019
Multi-View Multi-Label Learning With View-Label-Specific Features
J Huang, X Qu, G Li, F Qin, X Zheng, Q Huang
IEEE Access 7, 100979-100992, 2019
2019
Weights-based accuracy evaluation method for multi-label classifier
J Huang, F Qin, Z Cheng, F Yang
Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 47 (10), 2011
2011
An algorithm for multi-label learning based on minimum threshold
F Qin, J Huang, Z Cheng
2010 8th World Congress on Intelligent Control and Automation, 2793-2797, 2010
2010
A weights-based accuracy evaluation method for multi class multi-label classifier
F Qin, J Huang, Z Cheng
Journal of Computational Information Systems 5 (6), 1775-1781, 2009
2009
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Articles 1–17