| 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, 2021 | 1817 | 2021 |
| Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... In Proceedings of ICLR 2021, 2020 | 1284* | 2020 |
| 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, ... In Proceeding of NeurIPS 2021 Datasets and Benchmarks Track., 2021 | 1178* | 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 | 619 | 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 | 448 | 2020 |
| Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing J Ao, R Wang, L Zhou, S Liu, S Ren, Y Wu, T Ko, Q Li, Y Zhang, Z Wei, ... In Proceedings of ACL-2022, 2021 | 248 | 2021 |
| 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 | 157 | 2023 |
| Synchronous bidirectional neural machine translation L Zhou, J Zhang, C Zong Transactions of the Association for Computational Linguistics 7, 91-105, 2019 | 118 | 2019 |
| On decoder-only architecture for speech-to-text and large language model integration J Wu, Y Gaur, Z Chen, L Zhou, Y Zhu, T Wang, J Li, S Liu, B Ren, L Liu, ... In Proceedings of ASRU 2023, 2023 | 103 | 2023 |
| Viola: Conditional language models for speech recognition, synthesis, and translation T Wang, L Zhou, Z Zhang, Y Wu, S Liu, Y Gaur, Z Chen, J Li, F Wei IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 102 | 2024 |
| Neural System Combination for Machine Translation L Zhou, W Hu, J Zhang, C Zong In Proceedings of ACL-2017, 2017 | 82 | 2017 |
| Synchronous speech recognition and speech-to-text translation with interactive decoding Y Liu, J Zhang, H Xiong, L Zhou, Z He, H Wu, H Wang, C Zong Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8417-8424, 2020 | 76 | 2020 |
| LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT R Wang, Q Bai, J Ao, L Zhou, Z Xiong, Z Wei, Y Zhang, T Ko, H Li In Proceedings of InterSpeech 2022, 2022 | 60 | 2022 |
| SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training Z Zhang, L Zhou, J Ao, S Liu, L Dai, J Li, F Wei In Proceedings of EMNLP 2022, 2022 | 56 | 2022 |
| Speechlm: Enhanced speech pre-training with unpaired textual data Z Zhang, S Chen, L Zhou, Y Wu, S Ren, S Liu, Z Yao, X Gong, L Dai, J Li, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 52 | 2024 |
| Multi-View Self-Attention Based Transformer for Speaker Recognition R Wang, J Ao, L Zhou, S Liu, Z Wei, T Ko, Q Li, Y Zhang In Proceedings of ICASSP 2022, 2021 | 50 | 2021 |
| VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers S Chen, S Liu, L Zhou, Y Liu, X Tan, J Li, S Zhao, Y Qian, F Wei arXiv preprint arXiv:2406.05370, 2024 | 48 | 2024 |
| Wavllm: Towards robust and adaptive speech large language model S Hu, L Zhou, S Liu, S Chen, L Meng, H Hao, J Pan, X Liu, J Li, ... Findings of EMNLP 2024, 2024 | 44 | 2024 |
| A Compact and Language-Sensitive Multilingual Translation Method Y Wang, L Zhou, J Zhang, F Zhai, J Xu, C Zong In Proceedings of ACL-2019, 2019 | 43 | 2019 |
| A comparable study on model averaging, ensembling and reranking in nmt Y Liu, L Zhou, Y Wang, Y Zhao, J Zhang, C Zong Natural Language Processing and Chinese Computing: 7th CCF International …, 2018 | 43 | 2018 |
Shujie Liu (刘树杰）Microsoft Research Asia在 microsoft.com 的电子邮件经过验证