| Understanding bag-of-words model: a statistical framework Y Zhang, R Jin, ZH Zhou International journal of machine learning and cybernetics 1, 43-52, 2010 | 1295 | 2010 |
| Distance metric learning: A comprehensive survey L Yang, R Jin Michigan State Universiy 2 (2), 4, 2006 | 916 | 2006 |
| Active learning by querying informative and representative examples SJ Huang, R Jin, ZH Zhou Advances in neural information processing systems 23, 2010 | 709 | 2010 |
| 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 | 551 | 2006 |
| 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 | 430 | 2009 |
| 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 | 430 | 2008 |
| Flexible mixture model for collaborative filtering L Si, R Jin Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 420 | 2003 |
| Learning with multiple labels R Jin, Z Ghahramani Advances in neural information processing systems 15, 2002 | 414 | 2002 |
| An automatic weighting scheme for collaborative filtering R Jin, JY Chai, L Si Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 407 | 2004 |
| 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 | 402 | 2010 |
| 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 | 400 | 2009 |
| 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 25, 2012 | 388 | 2012 |
| 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, 157-189, 2011 | 361 | 2011 |
| 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 | 332 | 2010 |
| 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 | 321 | 2006 |
| Online feature selection and its applications J Wang, P Zhao, SCH Hoi, R Jin IEEE Transactions on knowledge and data engineering 26 (3), 698-710, 2013 | 320 | 2013 |
| Multiple kernel learning for visual object recognition: A review SS Bucak, R Jin, AK Jain IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (7), 1354-1369, 2013 | 313 | 2013 |
| Extremely low bit neural network: Squeeze the last bit out with admm C Leng, Z Dou, H Li, S Zhu, R Jin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 312 | 2018 |
| Softtriple loss: Deep metric learning without triplet sampling Q Qian, L Shang, B Sun, J Hu, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 306 | 2019 |
| Multimedia search with pseudo-relevance feedback R Yan, A Hauptmann, R Jin Image and Video Retrieval: Second International Conference, CIVR 2003 Urbana …, 2003 | 303 | 2003 |
