Ji He
Title
Cited by
Cited by
Year
Deep Reinforcement Learning with a Natural Language Action Space
J He, J Chen, X He, J Gao, L Li, L Deng, M Ostendorf
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
842016
Recurrent reinforcement learning: a hybrid approach
X Li, L Li, J Gao, X He, J Chen, L Deng, J He
arXiv preprint arXiv:1509.03044, 2015
372015
Deep Reinforcement Learning with an Action Space Defined by Natural Language
J He, J Chen, X He, J Gao, L Li, L Deng, M Ostendorf
ICLR 2016 Workshop, 2016
29*2016
End-to-end learning of LDA by mirror-descent back propagation over a deep architecture
J Chen, J He, Y Shen, L Xiao, X He, J Gao, X Song, L Deng
Advances in Neural Information Processing Systems, 1765-1773, 2015
292015
Deep reinforcement learning with a combinatorial action space for predicting popular Reddit threads
J He, M Ostendorf, X He, J Chen, J Gao, L Li, L Deng
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
272016
Turning a monolingual speaker into multilingual for a mixed-language TTS
J He, Y Qian, FK Soong, S Zhao
Thirteenth Annual Conference of the International Speech Communication …, 2012
82012
Multi-model controller
J Gao, L Deng, X He, P Singh, L Li, J Chen, X Li, J He
US Patent App. 14/985,017, 2017
62017
Reinforcement learning with external knowledge and two-stage q-functions for predicting popular reddit threads
J He, M Ostendorf, X He
arXiv preprint arXiv:1704.06217, 2017
62017
Effective data-driven feature learning for detecting name errors in automatic speech recognition
J He, A Marin, M Ostendorf
2014 IEEE Spoken Language Technology Workshop (SLT), 230-235, 2014
62014
Multiple-action computational model training and operation
J Chen, L Deng, J Gao, X He, L Li, J He, M Ostendorf
US Patent App. 15/084,113, 2017
42017
Q-LDA: Uncovering latent patterns in text-based sequential decision processes
J Chen, C Wang, L Xiao, J He, L Li, L Deng
Advances in Neural Information Processing Systems, 4977-4986, 2017
32017
Training and operating multi-layer computational models
J Gao, L Deng, X He, L Xiao, X Song, Y Shen, J He, J Chen
US Patent 10,445,650, 2019
22019
Interpreting the prediction process of a deep network constructed from supervised topic models
J Chen, J He, X He, L Xiao, J Gao, L Deng
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
22016
Deep reinforcement learning with a combinatorial action space for predicting and tracking popular discussion threads
J He, M Ostendorf, X He, J Chen, J Gao, L Li, L Deng
arXiv preprint arXiv:1606.03667, 2016
22016
Learning phrase patterns for asr name error detection using semantic similarity
A Marin, M Ostendorf, J He
Sixteenth Annual Conference of the International Speech Communication …, 2015
22015
Deep reinforcement learning in natural language scenarios
J He
12017
Improving sequence alignment based gene functional annotation with natural language processing and associative clustering
J He
International Symposium on Neural Networks, 312-321, 2010
12010
Xinying Song, Rabab Ward. 2015. Deep sentence embedding using the long short term memory network: analysis and application to information retrieval. arXiv: 1502.06922, 2015.
J He, J Chen, X He, J Gao, L Li, L Deng, M Ostendorf
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