Li Zhao
Li Zhao
Researcher
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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
6022016
Reinforcement learning for relation classification from noisy data
J Feng, M Huang, L Zhao, Y Yang, X Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1022018
Adversarial neural machine translation
L Wu, Y Xia, L Zhao, F Tian, T Qin, J Lai, TY Liu
arXiv preprint arXiv:1704.06933, 2017
612017
Learning structured representation for text classification via reinforcement learning
T Zhang, M Huang, L Zhao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
602018
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
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
232018
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
162016
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
132014
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
122018
Sequence Prediction with Unlabeled Data by Reward Function Learning.
L Wu, L Zhao, T Qin, J Lai, TY Liu
IJCAI, 3098-3104, 2017
92017
Word attention for sequence to sequence text understanding
L Wu, F Tian, L Zhao, J Lai, TY Liu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
82018
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
52019
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
32019
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, 6190-6199, 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
22015
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
12019
Seismic response analysis of circulation pump in AP1000 nuclear power plant
M Ou, W Shi, L Zhao, F Tian
Nuclear Power Engineering 34 (3), 133-136, 2013
12013
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
2020
Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction
C Chen, L Zhao, W Cao, J Bian, C Xing
arXiv preprint arXiv:2002.06878, 2020
2020
Unified Policy Optimization for Robust Reinforcement Learning
Z Lin, L Zhao, J Bian, T Qin, G Yang
Asian Conference on Machine Learning, 395-410, 2019
2019
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
2019
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