Chengqi Zhao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Language Resources

Machine Translation

Brazilian Portuguese

Top Venues

EMNLP (Findings)

Publications

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 (2024)
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 (2023)
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 (2023)
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)
Wenbiao Yin, Zhicheng Liu, Chengqi Zhao, Tao Wang, Jian Tong, Rong Ye
Improving speech translation by fusing speech and text. CoRR (2023)
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)
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)
Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. AAAI (2023)
Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. CoRR (2023)
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 (2023)
Wenbiao Yin, Zhicheng Liu, Chengqi Zhao, Tao Wang, Jian Tong, Rong Ye
Improving Speech Translation by Fusing Speech and Text. EMNLP (Findings) (2023)
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li
Rethinking Document-level Neural Machine Translation. ACL (Findings) (2022)
Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. CoRR (2022)
Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li
Serial or Parallel? Plug-able Adapter for multilingual machine translation. CoRR (2021)
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)
Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong
Secoco: Self-Correcting Encoding for Neural Machine Translation. CoRR (2021)
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)
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 (2021)
Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, Lei Li
NeurST: Neural Speech Translation Toolkit. ACL (demo) (2021)
Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li
Counter-Interference Adapter for Multilingual Machine Translation. EMNLP (Findings) (2021)
Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong
Secoco: Self-Correcting Encoding for Neural Machine Translation. EMNLP (Findings) (2021)
Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li
Finding Sparse Structures for Domain Specific Neural Machine Translation. AAAI (2021)
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 (2021)
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 (2020)
Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li
Finding Sparse Structure for Domain Specific Neural Machine Translation. CoRR (2020)
Chengqi Zhao, Mingxuan Wang, Lei Li
NeurST: Neural Speech Translation Toolkit. CoRR (2020)
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)
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 (2019)
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
Kernelized Bayesian Softmax for Text Generation. NeurIPS (2019)
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
Kernelized Bayesian Softmax for Text Generation. CoRR (2019)
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)