Li Zhao
Li Zhao
Researcher
Dirección de correo verificada de microsoft.com
Título
Citado por
Citado por
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
11652016
Reinforcement learning for relation classification from noisy data
J Feng, M Huang, L Zhao, Y Yang, X Zhu
Proceedings of the aaai conference on artificial intelligence 32 (1), 2018
2162018
Learning structured representation for text classification via reinforcement learning
T Zhang, M Huang, L Zhao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1052018
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
1022018
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
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
432018
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 32, 6193-6202, 2019
292019
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
262018
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
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
212016
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
162020
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 (01), 4352-4359, 2019
162019
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
162018
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
Sequence Prediction with Unlabeled Data by Reward Function Learning.
L Wu, L Zhao, T Qin, J Lai, TY Liu
IJCAI, 3098-3104, 2017
152017
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
142019
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
132020
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
122020
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
102019
Distributional reward decomposition for reinforcement learning
Z Lin, L Zhao, D Yang, T Qin, G Yang, TY Liu
arXiv preprint arXiv:1911.02166, 2019
52019
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
52019
Return-based contrastive representation learning for reinforcement learning
G Liu, C Zhang, L Zhao, T Qin, J Zhu, J Li, N Yu, TY Liu
arXiv preprint arXiv:2102.10960, 2021
42021
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Artículos 1–20