| Fused matrix factorization with geographical and social influence in location-based social networks C Cheng, H Yang, I King, M Lyu Proceedings of the AAAI conference on artificial intelligence 26 (1), 17-23, 2012 | 729 | 2012 |
| Where you like to go next: Successive point-of-interest recommendation C Cheng, H Yang, MR Lyu, I King Twenty-Third international joint conference on Artificial Intelligence, 2013 | 656 | 2013 |
| 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 | 325 | 2010 |
| Support vector machine regression for volatile stock market prediction H Yang, L Chan, I King Intelligent Data Engineering and Automated Learning—IDEAL 2002: Third …, 2002 | 275 | 2002 |
| STELLAR: Spatial-temporal latent ranking for successive point-of-interest recommendation S Zhao, T Zhao, H Yang, MR Lyu, I King Thirtieth AAAI conference on artificial intelligence, 2016 | 247 | 2016 |
| Localized support vector regression for time series prediction H Yang, K Huang, I King, MR Lyu Neurocomputing 72 (10-12), 2659-2669, 2009 | 174 | 2009 |
| Learning classifiers from imbalanced data based on biased minimax probability machine K Huang, H Yang, I King, MR Lyu Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 137 | 2004 |
| The minimum error minimax probability machine K Huang, H Yang, I King, MR Lyu, L Chan Journal of Machine Learning Research 5 (Oct), 1253-1286, 2004 | 128 | 2004 |
| Online learning for group lasso H Yang, Z Xu, I King, MR Lyu Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 115 | 2010 |
| Efficient sparse generalized multiple kernel learning H Yang, Z Xu, J Ye, I King, MR Lyu IEEE Transactions on neural networks 22 (3), 433-446, 2011 | 96 | 2011 |
| Maxi–min margin machine: learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu IEEE Transactions on Neural Networks 19 (2), 260-272, 2008 | 89 | 2008 |
| Imbalanced learning with a biased minimax probability machine K Huang, H Yang, I King, MR Lyu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 85 | 2006 |
| Higru: Hierarchical gated recurrent units for utterance-level emotion recognition W Jiao, H Yang, I King, MR Lyu arXiv preprint arXiv:1904.04446, 2019 | 75 | 2019 |
| Learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu Proceedings of the twenty-first international conference on Machine learning, 51, 2004 | 72 | 2004 |
| Machine learning: modeling data locally and globally KZ Huang, H Yang, I King, MR Lyu Springer Science & Business Media, 2008 | 64 | 2008 |
| Online learning for collaborative filtering G Ling, H Yang, I King, MR Lyu The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 61 | 2012 |
| A unified point-of-interest recommendation framework in location-based social networks C Cheng, H Yang, I King, MR Lyu ACM Transactions on Intelligent Systems and Technology (TIST) 8 (1), 1-21, 2016 | 59 | 2016 |
| Efficient online learning for multitask feature selection H Yang, MR Lyu, I King ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (2), 1-27, 2013 | 58 | 2013 |
| Online nonlinear AUC maximization for imbalanced data sets J Hu, H Yang, MR Lyu, I King, AMC So IEEE transactions on neural networks and learning systems 29 (4), 882-895, 2017 | 46 | 2017 |
| Maximizing sensitivity in medical diagnosis using biased minimax probability machine K Huang, H Yang, I King, MR Lyu IEEE Transactions on Biomedical engineering 53 (5), 821-831, 2006 | 46 | 2006 |
Irwin KingThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
