| Learning to rank for information retrieval TY Liu Springer Science & Business Media, 2011 | 3085 | 2011 |
| Learning to rank for information retrieval TY Liu Springer Science & Business Media, 2011 | 3075 | 2011 |
| Lightgbm: A highly efficient gradient boosting decision tree G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Advances in neural information processing systems 30, 3146-3154, 2017 | 2095 | 2017 |
| Learning to rank: from pairwise approach to listwise approach Z Cao, T Qin, TY Liu, MF Tsai, H Li Proceedings of the 24th international conference on Machine learning, 129-136, 2007 | 1845 | 2007 |
| Adapting ranking SVM to document retrieval Y Cao, J Xu, TY Liu, H Li, Y Huang, HW Hon Proceedings of the 29th annual international ACM SIGIR conference on …, 2006 | 618 | 2006 |
| Listwise approach to learning to rank: theory and algorithm F Xia, TY Liu, J Wang, W Zhang, H Li Proceedings of the 25th international conference on Machine learning, 1192-1199, 2008 | 606 | 2008 |
| Dual learning for machine translation D He, Y Xia, T Qin, L Wang, N Yu, TY Liu, WY Ma Advances in neural information processing systems 29, 820-828, 2016 | 544 | 2016 |
| LETOR: A benchmark collection for research on learning to rank for information retrieval T Qin, TY Liu, J Xu, H Li Information Retrieval 13 (4), 346-374, 2010 | 431 | 2010 |
| Learning deep representations for graph clustering F Tian, B Gao, Q Cui, E Chen, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 389 | 2014 |
| Mass: Masked sequence to sequence pre-training for language generation K Song, X Tan, T Qin, J Lu, TY Liu arXiv preprint arXiv:1905.02450, 2019 | 322 | 2019 |
| Neural architecture optimization R Luo, F Tian, T Qin, E Chen, TY Liu arXiv preprint arXiv:1808.07233, 2018 | 317 | 2018 |
| Achieving human parity on automatic chinese to english news translation H Hassan, A Aue, C Chen, V Chowdhary, J Clark, C Federmann, X Huang, ... arXiv preprint arXiv:1803.05567, 2018 | 313 | 2018 |
| Support vector machines classification with a very large-scale taxonomy TY Liu, Y Yang, H Wan, HJ Zeng, Z Chen, WY Ma Acm Sigkdd Explorations Newsletter 7 (1), 36-43, 2005 | 311 | 2005 |
| Feature selection for ranking X Geng, TY Liu, T Qin, H Li Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 302 | 2007 |
| Sequential click prediction for sponsored search with recurrent neural networks Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 252 | 2014 |
| BrowseRank: letting web users vote for page importance Y Liu, B Gao, TY Liu, Y Zhang, Z Ma, S He, H Li Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 210 | 2008 |
| Rc-net: A general framework for incorporating knowledge into word representations C Xu, Y Bai, J Bian, B Gao, G Wang, X Liu, TY Liu Proceedings of the 23rd ACM international conference on conference on …, 2014 | 203 | 2014 |
| Supervised rank aggregation YT Liu, TY Liu, T Qin, ZM Ma, H Li Proceedings of the 16th international conference on World Wide Web, 481-490, 2007 | 196 | 2007 |
| Web image clustering by consistent utilization of visual features and surrounding texts B Gao, TY Liu, T Qin, X Zheng, QS Cheng, WY Ma Proceedings of the 13th annual ACM international conference on Multimedia …, 2005 | 193 | 2005 |
| Lightlda: Big topic models on modest computer clusters J Yuan, F Gao, Q Ho, W Dai, J Wei, X Zheng, EP Xing, TY Liu, WY Ma Proceedings of the 24th International Conference on World Wide Web, 1351-1361, 2015 | 192 | 2015 |
Tao QinSenior Principal Research Manager, Microsoft Research AsiaVerified email at microsoft.com
