| 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 | 2231 | 2007 |
| Dual learning for machine translation D He, Y Xia, T Qin, L Wang, N Yu, T Liu, WY Ma Advances In Neural Information Processing Systems, 820-828, 2016 | 865 | 2016 |
| 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 | 834 | 2019 |
| Fastspeech: Fast, robust and controllable text to speech Y Ren, Y Ruan, X Tan, T Qin, S Zhao, Z Zhao, TY Liu Advances in neural information processing systems 32, 2019 | 666 | 2019 |
| Fastspeech 2: Fast and high-quality end-to-end text to speech Y Ren, C Hu, X Tan, T Qin, S Zhao, Z Zhao, TY Liu arXiv preprint arXiv:2006.04558, 2020 | 611 | 2020 |
| Neural architecture optimization R Luo, F Tian, T Qin, E Chen, TY Liu Advances in neural information processing systems 31, 2018 | 597 | 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 | 536 | 2018 |
| 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 | 535 | 2010 |
| An empirical study on learning to rank of tweets Y Duan, L Jiang, T Qin, M Zhou, HY Shum Proceedings of the 23rd international conference on computational …, 2010 | 394 | 2010 |
| Feature selection for ranking X Geng, TY Liu, T Qin, H Li Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 331 | 2007 |
| Incorporating bert into neural machine translation J Zhu, Y Xia, L Wu, D He, T Qin, W Zhou, H Li, TY Liu arXiv preprint arXiv:2002.06823, 2020 | 319 | 2020 |
| Generalizing to unseen domains: A survey on domain generalization J Wang, C Lan, C Liu, Y Ouyang, T Qin, W Lu, Y Chen, W Zeng, P Yu IEEE Transactions on Knowledge and Data Engineering, 2022 | 308 | 2022 |
| Introducing LETOR 4.0 datasets T Qin, TY Liu arXiv preprint arXiv:1306.2597, 2013 | 301 | 2013 |
| Mpnet: Masked and permuted pre-training for language understanding K Song, X Tan, T Qin, J Lu, TY Liu Advances in Neural Information Processing Systems 33, 16857-16867, 2020 | 293 | 2020 |
| 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 | 212 | 2007 |
| Frank: a ranking method with fidelity loss MF Tsai, TY Liu, T Qin, HH Chen, WY Ma Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 208 | 2007 |
| Query dependent ranking using k-nearest neighbor X Geng, TY Liu, T Qin, A Arnold, H Li, HY Shum Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 205 | 2008 |
| 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 | 201 | 2005 |
| Deliberation networks: Sequence generation beyond one-pass decoding Y Xia, F Tian, L Wu, J Lin, T Qin, N Yu, TY Liu Advances in neural information processing systems 30, 2017 | 188 | 2017 |
| Multilingual neural machine translation with knowledge distillation X Tan, Y Ren, D He, T Qin, Z Zhao, TY Liu arXiv preprint arXiv:1902.10461, 2019 | 187 | 2019 |
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
