| 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, 2017 | 15629 | 2017 |
| Learning to rank for information retrieval TY Liu Foundations and Trends® in Information Retrieval 3 (3), 225-331, 2009 | 3805 | 2009 |
| 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 | 2715 | 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 | 1604 | 2020 |
| Do transformers really perform badly for graph representation? C Ying, T Cai, S Luo, S Zheng, G Ke, D He, Y Shen, TY Liu Advances in neural information processing systems 34, 28877-28888, 2021 | 1416 | 2021 |
| 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 | 1271 | 2019 |
| 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 | 1209 | 2020 |
| Mass: Masked sequence to sequence pre-training for language generation K Song arXiv preprint arXiv:1905.02450, 2019 | 1200 | 2019 |
| 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, 2016 | 1159 | 2016 |
| On layer normalization in the transformer architecture R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ... International Conference on Machine Learning, 10524-10533, 2020 | 1099 | 2020 |
| 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 | 962 | 2008 |
| Scientific discovery in the age of artificial intelligence H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ... Nature 620 (7972), 47-60, 2023 | 880 | 2023 |
| 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 | 816 | 2014 |
| Neural architecture optimization R Luo, F Tian, T Qin, E Chen, TY Liu Advances in neural information processing systems 31, 2018 | 811 | 2018 |
| 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 | 800 | 2022 |
| A theoretical analysis of NDCG type ranking measures Y Wang, L Wang, Y Li, D He, TY Liu Conference on learning theory, 25-54, 2013 | 764 | 2013 |
| 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 | 739 | 2018 |
| 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 | 719 | 2006 |
| 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 | 623 | 2010 |
| Lightgbm: A highly efficient gradient boosting decision tree QM GuolinKe, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu Adv. Neural Inf. Process. Syst 30, 52, 2017 | 597 | 2017 |
Tao QinPartner Research Manager, Microsoft ResearchVerified email at microsoft.com