Rong Jin
Rong Jin
Alibaba Group
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Distance metric learning: A comprehensive survey
L Yang, R Jin
Michigan State Universiy 2 (2), 4, 2006
Understanding bag-of-words model: a statistical framework
Y Zhang, R Jin, ZH Zhou
International Journal of Machine Learning and Cybernetics 1 (1-4), 43-52, 2010
Active learning by querying informative and representative examples
SJ Huang, R Jin, ZH Zhou
Advances in neural information processing systems, 892-900, 2010
Flexible mixture model for collaborative filtering
L Si, R Jin
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
Batch mode active learning and its application to medical image classification
SCH Hoi, R Jin, J Zhu, MR Lyu
Proceedings of the 23rd international conference on Machine learning, 417-424, 2006
An automatic weighting scheme for collaborative filtering
R Jin, JY Chai, L Si
Proceedings of the 27th annual international ACM SIGIR conference on …, 2004
Semiboost: Boosting for semi-supervised learning
PK Mallapragada, R Jin, AK Jain, Y Liu
IEEE transactions on pattern analysis and machine intelligence 31 (11), 2000 …, 2008
Combining link and content for community detection: a discriminative approach
T Yang, R Jin, Y Chi, S Zhu
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Semisupervised SVM batch mode active learning with applications to image retrieval
SCH Hoi, R Jin, J Zhu, MR Lyu
ACM Transactions on Information Systems (TOIS) 27 (3), 1-29, 2009
Discriminative semi-supervised feature selection via manifold regularization
Z Xu, I King, MRT Lyu, R Jin
IEEE Transactions on Neural networks 21 (7), 1033-1047, 2010
Learning with multiple labels
R Jin, Z Ghahramani
Advances in neural information processing systems, 921-928, 2003
Multimedia search with pseudo-relevance feedback
R Yan, A Hauptmann, R Jin
International Conference on Image and Video Retrieval, 238-247, 2003
Simple and efficient multiple kernel learning by group lasso
Z Xu, R Jin, H Yang, I King, MR Lyu
Proceedings of the 27th international conference on machine learning (ICML …, 2010
Correlated label propagation with application to multi-label learning
F Kang, R Jin, R Sukthankar
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
T Yang, Y Chi, S Zhu, Y Gong, R Jin
Machine learning 82 (2), 157-189, 2011
Large-scale text categorization by batch mode active learning
SCH Hoi, R Jin, MR Lyu
Proceedings of the 15th international conference on World Wide Web, 633-642, 2006
Unifying discriminative visual codebook generation with classifier training for object category recognition
L Yang, R Jin, R Sukthankar, F Jurie
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Tag completion for image retrieval
L Wu, R Jin, AK Jain
IEEE transactions on pattern analysis and machine intelligence 35 (3), 716-727, 2012
Nyström method vs random fourier features: A theoretical and empirical comparison
T Yang, YF Li, M Mahdavi, R Jin, ZH Zhou
Advances in neural information processing systems, 476-484, 2012
Semi-supervised multi-label learning by constrained non-negative matrix factorization
Y Liu, R Jin, L Yang
AAAi 6, 421-426, 2006
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