| 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 | 1775 | 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 | 1259* | 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 | 1031* | 2019 |
| 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 | 867 | 2021 |
| 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 | 742 | 2018 |
| 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 | 601 | 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 | 458 | 2020 |
| 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 | 267 | 2022 |
| Progress in neural NLP: modeling, learning, and reasoning M Zhou, N Duan, S Liu, HY Shum Engineering 6 (3), 275-290, 2020 | 260 | 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 | 253 | 2014 |
| 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 | 245 | 2021 |
| 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 | 227 | 2013 |
| 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 | 212 | 2021 |
| 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 | 200 | 2015 |
| 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 | 158 | 2020 |
| Speak foreign languages with your own voice: Cross-lingual neural codec language modeling Z Zhang, L Zhou, C Wang, S Chen, Y Wu, S Liu, Z Chen, Y Liu, H Wang, ... arXiv preprint arXiv:2303.03926, 2023 | 153 | 2023 |
| 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 | 151 | 2021 |
| MuTual: A dataset for multi-turn dialogue reasoning L Cui, Y Wu, S Liu, Y Zhang, M Zhou arXiv preprint arXiv:2004.04494, 2020 | 149 | 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 | 142 | 2014 |
| Large-scale self-supervised speech representation learning for automatic speaker verification Z Chen, S Chen, Y Wu, Y Qian, C Wang, S Liu, Y Qian, M Zeng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 137 | 2022 |
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
