Chengqi Zhao

According to our database, Chengqi Zhao authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research.

Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

GigaST: A 10, 000-hour Pseudo Speech Translation Corpus.

Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Recent Advances in Direct Speech-to-text Translation.

Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Speech Translation by Fusing Speech and Text.

Wenbiao Yin, Zhicheng Liu, Chengqi Zhao, Tao Wang, Jian Tong, Rong Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training.

Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation.

Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Rethinking Document-level Neural Machine Translation.

Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Serial or Parallel? Plug-able Adapter for multilingual machine translation.

Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li

CoRR, 2021

Auto Correcting in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation.

Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong

CoRR, 2021

Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation.

Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Deyi Xiong

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

The Volctrans Neural Speech Translation System for IWSLT 2021.

Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei Li

Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Counter-Interference Adapter for Multilingual Machine Translation.

Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Secoco: Self-Correcting Encoding for Neural Machine Translation.

Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

NeurST: Neural Speech Translation Toolkit.

Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, Lei Li

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Finding Sparse Structures for Domain Specific Neural Machine Translation.

Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Finding Sparse Structure for Domain Specific Neural Machine Translation.

Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li

CoRR, 2020

NeurST: Neural Speech Translation Toolkit.

Chengqi Zhao, Mingxuan Wang, Lei Li

CoRR, 2020

Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach.

Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li

CoRR, 2020

Towards Making the Most of BERT in Neural Machine Translation.

Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Kernelized Bayesian Softmax for Text Generation.

Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2016

Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation.

Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-Yu Dai, Jiajun Chen

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016