| An introduction to computational networks and the computational network toolkit D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ... Microsoft Technical Report MSR-TR-2014–112, 2014 | 463 | 2014 |
| Spoken language understanding using long short-term memory neural networks K Yao, B Peng, Y Zhang, D Yu, G Zweig, Y Shi 2014 IEEE Spoken Language Technology Workshop (SLT), 189-194, 2014 | 362 | 2014 |
| Soloist: Building task bots at scale with transfer learning and machine teaching B Peng, C Li, J Li, S Shayandeh, L Liden, J Gao Transactions of the Association for Computational Linguistics 9, 807-824, 2021 | 198* | 2021 |
| Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning B Peng, X Li, L Li, J Gao, A Celikyilmaz, S Lee, KF Wong arXiv preprint arXiv:1704.03084, 2017 | 190 | 2017 |
| Deep dyna-q: Integrating planning for task-completion dialogue policy learning B Peng, X Li, J Gao, J Liu, KF Wong, SY Su arXiv preprint arXiv:1801.06176, 2018 | 172 | 2018 |
| Few-shot natural language generation for task-oriented dialog B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao arXiv preprint arXiv:2002.12328, 2020 | 157 | 2020 |
| Recurrent conditional random field for language understanding K Yao, B Peng, G Zweig, D Yu, X Li, F Gao 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 150 | 2014 |
| Task-oriented dialogue system for automatic diagnosis Z Wei, Q Liu, B Peng, H Tou, T Chen, XJ Huang, KF Wong, X Dai Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 143 | 2018 |
| Attention with intention for a neural network conversation model K Yao, G Zweig, B Peng arXiv preprint arXiv:1510.08565, 2015 | 135 | 2015 |
| Optimus: Organizing sentences via pre-trained modeling of a latent space C Li, X Gao, Y Li, B Peng, X Li, Y Zhang, J Gao arXiv preprint arXiv:2004.04092, 2020 | 105 | 2020 |
| Convlab: Multi-domain end-to-end dialog system platform S Lee, Q Zhu, R Takanobu, X Li, Y Zhang, Z Zhang, J Li, B Peng, X Li, ... arXiv preprint arXiv:1904.08637, 2019 | 87 | 2019 |
| Towards neural network-based reasoning B Peng, Z Lu, H Li, KF Wong arXiv preprint arXiv:1508.05508, 2015 | 87 | 2015 |
| Recurrent neural networks with external memory for spoken language understanding B Peng, K Yao, L Jing, KF Wong Natural Language Processing and Chinese Computing: 4th CCF Conference, NLPCC …, 2015 | 81* | 2015 |
| Convlab-2: An open-source toolkit for building, evaluating, and diagnosing dialogue systems Q Zhu, Z Zhang, Y Fang, X Li, R Takanobu, J Li, B Peng, J Gao, X Zhu, ... arXiv preprint arXiv:2002.04793, 2020 | 80 | 2020 |
| Contextual spoken language understanding using recurrent neural networks Y Shi, K Yao, H Chen, YC Pan, MY Hwang, B Peng 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 80 | 2015 |
| The eighth dialog system technology challenge S Kim, M Galley, C Gunasekara, S Lee, A Atkinson, B Peng, H Schulz, ... arXiv preprint arXiv:1911.06394, 2019 | 63 | 2019 |
| Overview of the ninth dialog system technology challenge: Dstc9 C Gunasekara, S Kim, LF D'Haro, A Rastogi, YN Chen, M Eric, ... arXiv preprint arXiv:2011.06486, 2020 | 56 | 2020 |
| A topic model for building fine-grained domain-specific emotion M Yang, B Peng, Z Chen, D Zhu, KP Chow | 53* | |
| Adversarial advantage actor-critic model for task-completion dialogue policy learning B Peng, X Li, J Gao, J Liu, YN Chen, KF Wong 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 49 | 2018 |
| Word embedding based correlation model for question/answer matching Y Shen, W Rong, N Jiang, B Peng, J Tang, Z Xiong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 48 | 2017 |
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
