| 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 | 268 | 2016 |
| 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 | 93 | 2015 |
| 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 | 80 | 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 28, 2015 | 50 | 2015 |
| 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 | 39* | 2016 |
| Multiple-action computational model training and operation J Chen, L Deng, J Gao, X He, L Li, J He, M Ostendorf US Patent 10,909,450, 2021 | 27 | 2021 |
| Multi-model controller J Gao, L Deng, X He, P Singh, L Li, J Chen, X Li, J He US Patent 11,170,293, 2021 | 26 | 2021 |
| Turning a Monolingual Speaker into Multilingual for a Mixed-language TTS. J He, Y Qian, FK Soong, S Zhao INTERSPEECH, 963-966, 2012 | 20 | 2012 |
| 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 | 13 | 2017 |
| 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 | 6 | 2014 |
| 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 30, 2017 | 3 | 2017 |
| 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 | 2 | 2016 |
| 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 | 2 | 2016 |
| Learning phrase patterns for ASR name error detection using semantic similarity. A Marin, M Ostendorf, J He INTERSPEECH, 1423-1427, 2015 | 2 | 2015 |
| 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 | 1 | 2019 |
| Deep reinforcement learning in natural language scenarios J He | 1 | 2017 |
| Improving sequence alignment based gene functional annotation with natural language processing and associative clustering J He Advances in Neural Networks-ISNN 2010: 7th International Symposium on Neural …, 2010 | 1 | 2010 |
| 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 | | |
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
