| Topic Aware Neural Response Generation C Xing, W Wu, Y Wu, J Liu, Y Huang, M Zhou, WY Ma Proc. AAAI, 3351-3357, 2017 | 496 | 2017 |
| Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots Y Wu, W Wu, C Xing, M Zhou, Z Li Proc. ACL, 496-505, 2017 | 492 | 2017 |
| 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 | 220 | 2021 |
| Hierarchical Recurrent Attention Network for Response Generation C Xing, W Wu, Y Wu, M Zhou, Y Huang, WY Ma Proc. AAAI, 5610-5617, 2018 | 194 | 2018 |
| Keyphrase Generation with Correlation Constraints J Chen, X Zhang, Y Wu, Z Yan, Z Li Proc. EMNLP, 4057-4066, 2018 | 113 | 2018 |
| Response Generation by Context-aware Prototype Editing Y Wu, F Wei, S Huang, Z Li, M Zhou Proc. AAAI, 7281-7288, 2019 | 108 | 2019 |
| Response Selection with Topic Clues for Retrieval-based Chatbots Y Wu, W Wu, Z Li, M Zhou NeuroComputing 316, 251--261, 2016 | 102* | 2016 |
| 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 Interspeech 2020, 2020 | 98 | 2020 |
| 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, 2020 | 89 | 2020 |
| Template-Based Named Entity Recognition Using BART L Cui, Y Wu, J Liu, S Yang, Y Zhang ACL 2021, 2021 | 79 | 2021 |
| MuTual: A Dataset for Multi-Turn Dialogue Reasoning L Cui, Y Wu, S Liu, Y Zhang, M Zhou Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 79 | 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 …, 2020 | 76 | 2020 |
| A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots Y Wu, W Wu, C Xing, C Xu, Z Li, M Zhou Computational Linguistics 45 (1), 163-197, 2019 | 74 | 2019 |
| Neural Response Generation with Dynamic Vocabularies Y Wu, W Wu, D Yang, C Xu, Z Li, M Zhou Proc. AAAI, 5594-5601, 2018 | 74 | 2018 |
| Curriculum Pre-training for End-to-End Speech Translation C Wang, Y Wu, S Liu, M Zhou, Z Yang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 63 | 2020 |
| 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 ICML 2021, 2021 | 56 | 2021 |
| Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation C Wang, Y Wu, S Liu, Z Yang, M Zhou Proc. AAAI, 2020 | 55 | 2020 |
| Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020 X Xiao, N Kanda, Z Chen, T Zhou, T Yoshioka, Y Zhao, S Chen, G Liu, ... ICASSP 2021, 2020 | 51 | 2020 |
| Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer Y Wang, Y Wu, L Mou, Z Li, W Chao Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 47 | 2019 |
| 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, ... ACL 2022, 2021 | 42 | 2021 |
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)在 chuangxin.com 的电子邮件经过验证
