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Chengqi Zhao
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2020 – today
- 2024
- [j1]Xinhao Mei
, Chutong Meng
, Haohe Liu
, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley
, Yuexian Zou
, Wenwu Wang
:
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3339-3354 (2024) - 2023
- [c15]Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang:
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. AAAI 2023: 13246-13254 - [c14]Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang:
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. ACL (1) 2023: 5428-5443 - [c13]Wenbiao Yin, Zhicheng Liu, Chengqi Zhao, Tao Wang, Jian Tong, Rong Ye:
Improving Speech Translation by Fusing Speech and Text. EMNLP (Findings) 2023: 6262-6273 - [c12]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao
, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. IJCAI 2023: 6796-6804 - [c11]Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao:
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. INTERSPEECH 2023: 2168-2172 - [i15]Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang:
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. CoRR abs/2303.17395 (2023) - [i14]Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang:
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. CoRR abs/2303.17910 (2023) - [i13]Wenbiao Yin, Zhicheng Liu, Chengqi Zhao, Tao Wang, Jian Tong, Rong Ye:
Improving speech translation by fusing speech and text. CoRR abs/2305.14042 (2023) - [i12]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. CoRR abs/2306.11646 (2023) - [i11]Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang:
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. CoRR abs/2307.03131 (2023) - 2022
- [c10]Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li:
Rethinking Document-level Neural Machine Translation. ACL (Findings) 2022: 3537-3548 - [i10]Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao:
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. CoRR abs/2204.03939 (2022) - 2021
- [c9]Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structures for Domain Specific Neural Machine Translation. AAAI 2021: 13333-13342 - [c8]Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, Lei Li:
NeurST: Neural Speech Translation Toolkit. ACL (demo) 2021: 55-62 - [c7]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Counter-Interference Adapter for Multilingual Machine Translation. EMNLP (Findings) 2021: 2812-2823 - [c6]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. EMNLP (Findings) 2021: 4639-4644 - [c5]Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei Li:
The Volctrans Neural Speech Translation System for IWSLT 2021. IWSLT 2021: 64-74 - [c4]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong:
Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. NAACL-HLT (Industry Papers) 2021: 105-112 - [i9]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong:
Auto Correcting in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. CoRR abs/2103.16189 (2021) - [i8]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Serial or Parallel? Plug-able Adapter for multilingual machine translation. CoRR abs/2104.08154 (2021) - [i7]Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei Li:
The Volctrans Neural Speech Translation System for IWSLT 2021. CoRR abs/2105.07319 (2021) - [i6]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. CoRR abs/2108.12137 (2021) - 2020
- [c3]Jiacheng Yang
, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. AAAI 2020: 9378-9385 - [i5]Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li:
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach. CoRR abs/2010.08961 (2020) - [i4]Chengqi Zhao, Mingxuan Wang, Lei Li:
NeurST: Neural Speech Translation Toolkit. CoRR abs/2012.10018 (2020) - [i3]Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structure for Domain Specific Neural Machine Translation. CoRR abs/2012.10586 (2020)
2010 – 2019
- 2019
- [c2]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. NeurIPS 2019: 12487-12497 - [i2]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. CoRR abs/1908.05672 (2019) - [i1]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. CoRR abs/1911.00274 (2019) - 2016
- [c1]Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-Yu Dai, Jiajun Chen:
Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation. IJCAI 2016: 2817-2823
Coauthor Index
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last updated on 2024-08-23 18:30 CEST by the dblp team
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