| End-to-end structure-aware convolutional networks for knowledge base completion C Shang, Y Tang, J Huang, J Bi, X He, B Zhou Proceedings of the AAAI conference on artificial intelligence 33 (01), 3060-3067, 2019 | 406 | 2019 |
| fairseq s2t: Fast speech-to-text modeling with fairseq C Wang, Y Tang, X Ma, A Wu, D Okhonko, J Pino AACL 2020 Demo, 2020 | 147 | 2020 |
| Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs M Tu, G Wang, J Huang, Y Tang, X He, B Zhou ACL 2019, 2019 | 140 | 2019 |
| Multilingual speech translation with efficient finetuning of pretrained models X Li, C Wang, Y Tang, C Tran, Y Tang, J Pino, A Baevski, A Conneau, ... ACL 2021, 2020 | 83 | 2020 |
| Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding Y Tang, J Huang, G Wang, X He, B Zhou ACL, 2020 | 70 | 2020 |
| Deep speaker embedding learning with multi-level pooling for text-independent speaker verification Y Tang, G Ding, J Huang, X He, B Zhou ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 70 | 2019 |
| Direct speech-to-speech translation with discrete units A Lee, PJ Chen, C Wang, J Gu, S Popuri, X Ma, A Polyak, Y Adi, Q He, ... arXiv preprint arXiv:2107.05604, 2021 | 63 | 2021 |
| Self-training for end-to-end speech translation J Pino, Q Xu, X Ma, MJ Dousti, Y Tang Interspeech, 2020 | 46 | 2020 |
| A general multi-task learning framework to leverage text data for speech to text tasks Y Tang, J Pino, C Wang, X Ma, D Genzel ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 45 | 2021 |
| Method and apparatus for speech recognition using neural networks with speaker adaptation Y Tang, V Nagesha, X Fan US Patent 9,721,561, 2017 | 45 | 2017 |
| A study of using locality preserving projections for feature extraction in speech recognition Y Tang, R Rose 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 42 | 2008 |
| Improving speech translation by understanding and learning from the auxiliary text translation task Y Tang, J Pino, X Li, C Wang, D Genzel ACL 2021, 2021 | 39 | 2021 |
| Unified speech-text pre-training for speech translation and recognition Y Tang, H Gong, N Dong, C Wang, WN Hsu, J Gu, A Baevski, X Li, ... ACL 2022, 2022 | 35 | 2022 |
| An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition R Rose, SC Yin, Y Tang 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 28 | 2011 |
| I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ... arXiv preprint arXiv:1904.07386, 2019 | 23 | 2019 |
| Zero-shot text-to-SQL learning with auxiliary task S Chang, P Liu, Y Tang, J Huang, X He, B Zhou Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7488-7495, 2020 | 20 | 2020 |
| One-pass coarse-to-fine segmental speech decoding algorithm Y Tang, WJ Liu, H Zhang, B Xu, GH Ding 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 19 | 2006 |
| Towards adversarial learning of speaker-invariant representation for speech emotion recognition M Tu, Y Tang, J Huang, X He, B Zhou arXiv preprint arXiv:1903.09606, 2019 | 18 | 2019 |
| Multi-Stride Self-Attention for Speech Recognition KJ Han, J Huang, Y Tang, X He, B Zhou Proc. Interspeech 2019, 2788-2792, 2019 | 18 | 2019 |
| Mandarin digit string recognition based on segment model using posterior probability decoding. Y Tang, W Liu, B Xu Jisuanji Xuebao(Chinese Journal of Computers) 29 (4), 635-641, 2006 | 17* | 2006 |
Juan PinoMetaVerified email at fb.com
