| 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 | 2621 | 2007 |
| 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 | 1376 | 2020 |
| 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 | 1146 | 2019 |
| Mass: Masked sequence to sequence pre-training for language generation K Song arXiv preprint arXiv:1905.02450, 2019 | 1145 | 2019 |
| 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 | 1074 | 2016 |
| 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 | 972 | 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, SY Philip IEEE transactions on knowledge and data engineering 35 (8), 8052-8072, 2022 | 942 | 2022 |
| Neural architecture optimization R Luo, F Tian, T Qin, E Chen, TY Liu Advances in neural information processing systems 31, 2018 | 773 | 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 | 714 | 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 | 611 | 2010 |
| BioGPT: generative pre-trained transformer for biomedical text generation and mining R Luo, L Sun, Y Xia, T Qin, S Zhang, H Poon, TY Liu Briefings in bioinformatics 23 (6), bbac409, 2022 | 592 | 2022 |
| LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval L Tie-Yan, X Jun, Q Tao, X Wen-Ying, L Hang SIGIR 2007 Workshop on Learning to Rank for Information Retrieval (LR4IR 2007), 2007 | 586* | 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 | 460 | 2020 |
| R-drop: Regularized dropout for neural networks L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu Advances in Neural Information Processing Systems 34, 10890-10905, 2021 | 423 | 2021 |
| 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 | 413 | 2010 |
| A survey on neural speech synthesis X Tan, T Qin, F Soong, TY Liu arXiv preprint arXiv:2106.15561, 2021 | 394 | 2021 |
| Introducing LETOR 4.0 datasets T Qin, TY Liu arXiv preprint arXiv:1306.2597, 2013 | 389 | 2013 |
| Feature selection for ranking X Geng, TY Liu, T Qin, H Li Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 343 | 2007 |
| Image-to-image translation: Methods and applications Y Pang, J Lin, T Qin, Z Chen IEEE Transactions on Multimedia 24, 3859-3881, 2021 | 298 | 2021 |
| 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 | 264 | 2019 |
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA Fellow在 microsoft.com 的电子邮件经过验证
