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Tie-Yan Liu
Tie-Yan Liu
Distinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA Fellow
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
146472017
Learning to rank for information retrieval
TY Liu
Foundations and Trends® in Information Retrieval 3 (3), 225-331, 2009
37512009
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
26862007
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
15052020
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
12992021
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
12132019
Mass: Masked sequence to sequence pre-training for language generation
K Song
arXiv preprint arXiv:1905.02450, 2019
11732019
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
11522016
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
11182020
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
10332020
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
9462008
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
8042014
Neural architecture optimization
R Luo, F Tian, T Qin, E Chen, TY Liu
Advances in neural information processing systems 31, 2018
7912018
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
7412013
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
7342023
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
7332018
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
7172006
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
7122022
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
6202010
Letor: Benchmark dataset for research on learning to rank for information retrieval
TY Liu, J Xu, T Qin, W Xiong, H Li
Proceedings of SIGIR 2007 workshop on learning to rank for information …, 2007
5892007
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