| Directly optimizing evaluation measures in learning to rank J Xu, TY Liu, M Lu, H Li, WY Ma Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 168 | 2008 |
| Rank hash similarity for fast similarity search M Lu, YL Huang, MQ Xie, J Liu Information Processing & Management, 2012 | 7 | 2012 |
| Supervised rank aggregation based on query similarity for document retrieval Y Wang, Y Huang, X Pang, M Lu, M Xie, J Liu Soft Computing 17 (3), 421-429, 2013 | 5 | 2013 |
| Cost-Sensitive listwise ranking approach M Lu, MQ Xie, Y Wang, J Liu, YL Huang Advances in Knowledge Discovery and Data Mining, 358-366, 2010 | 4 | 2010 |
| Multiple query-dependent RankSVM aggregation for document retrieval Y Wang, M Lu, X Pang, M Xie, Y Huang Computational Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on, 1-6, 2011 | | 2011 |
| Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank M Lu, MQ Xie, Y Wang, J Liu, YL Huang Information Retrieval Technology, 203-210, 2010 | | 2010 |
| Ranking with Query Influence Weighting for document retrieval Z Liao, YL Huang, MQ Xie, J Liu, Y Wang, M Lu Machine Learning and Cybernetics, 2009 International Conference on 2, 1177-1182, 2009 | | 2009 |
| A query-level active sampling approach for learning to rank Y Wang, YL Huang, MQ Xie, J Liu, M Lu, Z Liao Machine Learning and Cybernetics, 2009 International Conference on 2, 953-958, 2009 | | 2009 |
