Wavlm: Large-scale self-supervised pre-training for full stack speech processing S Chen, C Wang, Z Chen, Y Wu, S Liu, Z Chen, J Li, N Kanda, T Yoshioka, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1505-1518, 2022 | 1123 | 2022 |
Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 950* | 2020 |
Neural speech synthesis with transformer network N Li, S Liu, Y Liu, S Zhao, M Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6706-6713, 2019 | 894* | 2019 |
Achieving human parity on automatic chinese to english news translation H Hassan, A Aue, C Chen, V Chowdhary, J Clark, C Federmann, X Huang, ... arXiv preprint arXiv:1803.05567, 2018 | 691 | 2018 |
Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 612 | 2021 |
Neural codec language models are zero-shot text to speech synthesizers C Wang, S Chen, Y Wu, Z Zhang, L Zhou, S Liu, Z Chen, Y Liu, H Wang, ... arXiv preprint arXiv:2301.02111, 2023 | 337 | 2023 |
Codebleu: a method for automatic evaluation of code synthesis S Ren, D Guo, S Lu, L Zhou, S Liu, D Tang, N Sundaresan, M Zhou, ... arXiv preprint arXiv:2009.10297, 2020 | 292 | 2020 |
A recursive recurrent neural network for statistical machine translation S Liu, N Yang, M Li, M Zhou Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 246 | 2014 |
Learning entity representation for entity disambiguation Z He, S Liu, M Li, M Zhou, L Zhang, H Wang Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 221 | 2013 |
Progress in neural NLP: modeling, learning, and reasoning M Zhou, N Duan, S Liu, HY Shum Engineering 6 (3), 275-290, 2020 | 207 | 2020 |
Hierarchical recurrent neural network for document modeling R Lin, S Liu, M Yang, M Li, M Zhou, S Li Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 194 | 2015 |
Developing real-time streaming transformer transducer for speech recognition on large-scale dataset X Chen, Y Wu, Z Wang, S Liu, J Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 179 | 2021 |
Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing J Ao, R Wang, L Zhou, C Wang, S Ren, Y Wu, S Liu, T Ko, Q Li, Y Zhang, ... arXiv preprint arXiv:2110.07205, 2021 | 168 | 2021 |
On the comparison of popular end-to-end models for large scale speech recognition J Li, Y Wu, Y Gaur, C Wang, R Zhao, S Liu arXiv preprint arXiv:2005.14327, 2020 | 145 | 2020 |
Bilingually-constrained phrase embeddings for machine translation J Zhang, S Liu, M Li, M Zhou, C Zong Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 140 | 2014 |
MuTual: A dataset for multi-turn dialogue reasoning L Cui, Y Wu, S Liu, Y Zhang, M Zhou arXiv preprint arXiv:2004.04494, 2020 | 131 | 2020 |
Continuous speech separation with conformer S Chen, Y Wu, Z Chen, J Wu, J Li, T Yoshioka, C Wang, S Liu, M Zhou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 128 | 2021 |
Style transfer as unsupervised machine translation Z Zhang, S Ren, S Liu, J Wang, P Chen, M Li, M Zhou, E Chen arXiv preprint arXiv:1808.07894, 2018 | 126 | 2018 |
Beats: Audio pre-training with acoustic tokenizers S Chen, Y Wu, C Wang, S Liu, D Tompkins, Z Chen, F Wei arXiv preprint arXiv:2212.09058, 2022 | 121 | 2022 |
Unispeech: Unified speech representation learning with labeled and unlabeled data C Wang, Y Wu, Y Qian, K Kumatani, S Liu, F Wei, M Zeng, X Huang International Conference on Machine Learning, 10937-10947, 2021 | 116 | 2021 |