Li Zhao
Li Zhao
Researcher
Dirección de correo verificada de microsoft.com
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Citado por
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Año
Attention-based LSTM for aspect-level sentiment classification
Y Wang, M Huang, X Zhu, L Zhao
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
8512016
Reinforcement learning for relation classification from noisy data
J Feng, M Huang, L Zhao, Y Yang, X Zhu
arXiv preprint arXiv:1808.08013, 2018
1542018
Learning structured representation for text classification via reinforcement learning
T Zhang, M Huang, L Zhao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
842018
Adversarial neural machine translation
L Wu, Y Xia, F Tian, L Zhao, T Qin, J Lai, TY Liu
Asian Conference on Machine Learning, 534-549, 2018
832018
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.
Y Wang, Y Xia, L Zhao, J Bian, T Qin, G Liu, TY Liu
AAAI, 5553-5560, 2018
302018
Semi-supervised multinomial naive bayes for text classification by leveraging word-level statistical constraint
L Zhao, M Huang, Z Yao, R Su, Y Jiang, X Zhu
Thirtieth AAAI conference on artificial intelligence, 2016
182016
Efficient sequence learning with group recurrent networks
F Gao, L Wu, L Zhao, T Qin, X Cheng, TY Liu
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
172018
Clustering aspect-related phrases by leveraging sentiment distribution consistency
L Zhao, M Huang, H Chen, J Cheng, X Zhu
Proceedings of the 2014 conference on empirical methods in natural language …, 2014
162014
Word Attention for Sequence to Sequence Text Understanding.
L Wu, F Tian, L Zhao, J Lai, TY Liu
AAAI, 5578-5585, 2018
142018
Sequence Prediction with Unlabeled Data by Reward Function Learning.
L Wu, L Zhao, T Qin, J Lai, TY Liu
IJCAI, 3098-3104, 2017
112017
Trust region evolution strategies
G Liu, L Zhao, F Yang, J Bian, T Qin, N Yu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4352-4359, 2019
102019
Fully parameterized quantile function for distributional reinforcement learning
D Yang, L Zhao, Z Lin, T Qin, J Bian, TY Liu
Advances in Neural Information Processing Systems, 6193-6202, 2019
102019
Suphx: Mastering Mahjong with Deep Reinforcement Learning
J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ...
arXiv preprint arXiv:2003.13590, 2020
82020
Investment behaviors can tell what inside: Exploring stock intrinsic properties for stock trend prediction
C Chen, L Zhao, J Bian, C Xing, TY Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
82019
Individualized indicator for all: Stock-wise technical indicator optimization with stock embedding
Z Li, D Yang, L Zhao, J Bian, T Qin, TY Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
42019
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation
Y Wang, Y Xia, L Zhao, J Bian, T Qin, E Chen, TY Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (10 …, 2019
32019
Sentiment extraction by leveraging aspect-opinion association structure
L Zhao, M Huang, J Sun, H Luo, X Yang, X Zhu
Proceedings of the 24th acm international on conference on information and …, 2015
32015
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
K Zhao, X Wang, Y Zhang, L Zhao, Z Liu, C Xing, X Xie
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
22020
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances
W Zhang, X Zhao, L Zhao, D Yin, GH Yang, A Beutel
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
12020
Independence-aware Advantage Estimation
P Zhang, L Zhao, G Liu, J Bian, M Huang, T Qin, TY Liu
12019
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Artículos 1–20