| Recent advances in deep learning for speech research at Microsoft L Deng, J Li, JT Huang, K Yao, D Yu, F Seide, M Seltzer, G Zweig, X He, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 701 | 2013 |
| Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 477 | 2014 |
| 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 | 415 | 2014 |
| KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition D Yu, K Yao, H Su, G Li, F Seide 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 403 | 2013 |
| Recurrent neural networks for language understanding. K Yao, G Zweig, MY Hwang, Y Shi, D Yu Interspeech, 2524-2528, 2013 | 289 | 2013 |
| 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 | 262 | 2014 |
| Highway long short-term memory rnns for distant speech recognition Y Zhang, G Chen, D Yu, K Yaco, S Khudanpur, J Glass 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 258 | 2016 |
| Adaptation of context-dependent deep neural networks for automatic speech recognition K Yao, D Yu, F Seide, H Su, L Deng, Y Gong 2012 IEEE Spoken Language Technology Workshop (SLT), 366-369, 2012 | 223 | 2012 |
| System and method for text-to-phoneme mapping with prior knowledge K Yao US Patent App. 11/278,497, 2007 | 150 | 2007 |
| Incorporating structural alignment biases into an attentional neural translation model T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari arXiv preprint arXiv:1601.01085, 2016 | 139 | 2016 |
| Sequence-to-sequence neural net models for grapheme-to-phoneme conversion K Yao, G Zweig arXiv preprint arXiv:1506.00196, 2015 | 128 | 2015 |
| 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 | 115 | 2014 |
| Assignment of semantic labels to a sequence of words using neural network architectures A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ... US Patent 10,867,597, 2020 | 109 | 2020 |
| Attention with intention for a neural network conversation model K Yao, G Zweig, B Peng arXiv preprint arXiv:1510.08565, 2015 | 104 | 2015 |
| Depth-gated LSTM K Yao, T Cohn, K Vylomova, K Duh, C Dyer arXiv preprint arXiv:1508.03790, 2015 | 77 | 2015 |
| Conservatively adapting a deep neural network in a recognition system D Yu, K Yao, H Su, G Li, F Seide US Patent 9,177,550, 2015 | 63 | 2015 |
| 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 | 58 | 2015 |
| Depth-gated recurrent neural networks K Yao, T Cohn, K Vylomova, K Duh, C Dyer arXiv preprint arXiv:1508.03790 9, 2015 | 55 | 2015 |
| A basis representation of constrained MLLR transforms for robust adaptation D Povey, K Yao Computer Speech & Language 26 (1), 35-51, 2012 | 44 | 2012 |
| Sequential noise compensation by sequential Monte Carlo method K Yao, S Nakamura Advances in Neural Information Processing Systems, 1205-1212, 2002 | 36 | 2002 |
Dong Yu (俞栋)Distinguished Scientist and Vice General Manager, Tencent AI LabVerified email at tencent.com
