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 001 (IJCAI, 2016)

Kernelized Bayesian Softmax for Text Generation. - Ning Miao; Hao Zhou 012; Chengqi Zhao; Wenxian Shi; Lei Li 005 (NeurIPS, 2019)

Towards Making the Most of BERT in Neural Machine Translation. - Jiacheng Yang; Mingxuan Wang; Hao Zhou 012; Chengqi Zhao; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (AAAI, 2020)

Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach. - Zewei Sun; Mingxuan Wang; Hao Zhou 012; Chengqi Zhao; Shujian Huang; Jiajun Chen 001; Lei Li 005 (CoRR, 2020)

NeurST: Neural Speech Translation Toolkit. - Chengqi Zhao; Mingxuan Wang; Lei Li 005 (CoRR, 2020)

Finding Sparse Structure for Domain Specific Neural Machine Translation. - Jianze Liang; Chengqi Zhao; Mingxuan Wang; Xipeng Qiu; Lei Li 005 (CoRR, 2020)

Finding Sparse Structures for Domain Specific Neural Machine Translation. - Jianze Liang; Chengqi Zhao; Mingxuan Wang; Xipeng Qiu; Lei Li 005 (AAAI, 2021)

NeurST: Neural Speech Translation Toolkit. - Chengqi Zhao; Mingxuan Wang; Qianqian Dong; Rong Ye; Lei Li 005 (ACL (demo), 2021)

Secoco: Self-Correcting Encoding for Neural Machine Translation. - Tao Wang 086; Chengqi Zhao; Mingxuan Wang; Lei Li 005; Hang Li 001; Deyi Xiong (EMNLP (Findings), 2021)

Counter-Interference Adapter for Multilingual Machine Translation. - Yaoming Zhu; Jiangtao Feng; Chengqi Zhao; Mingxuan Wang; Lei Li 005 (EMNLP (Findings), 2021)

The Volctrans Neural Speech Translation System for IWSLT 2021. - Chengqi Zhao; Zhicheng Liu; Jian Tong; Tao Wang 086; Mingxuan Wang; Rong Ye; Qianqian Dong; Jun Cao; Lei Li 005 (IWSLT, 2021)

Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. - Tao Wang 086; Chengqi Zhao; Mingxuan Wang; Lei Li 005; Deyi Xiong (NAACL-HLT (Industry Papers), 2021)

Auto Correcting in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. - Tao Wang 086; Chengqi Zhao; Mingxuan Wang; Lei Li 005; Deyi Xiong (CoRR, 2021)

Serial or Parallel? Plug-able Adapter for multilingual machine translation. - Yaoming Zhu; Jiangtao Feng; Chengqi Zhao; Mingxuan Wang; Lei Li 005 (CoRR, 2021)

Rethinking Document-level Neural Machine Translation. - Zewei Sun; Mingxuan Wang; Hao Zhou 012; Chengqi Zhao; Shujian Huang; Jiajun Chen 001; Lei Li 005 (ACL (Findings), 2022)

Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. - Min Liu; Yu Bao; Chengqi Zhao; Shujian Huang (AAAI, 2023)

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. - Yiming Yan; Tao Wang 086; Chengqi Zhao; Shujian Huang; Jiajun Chen 001; Mingxuan Wang (ACL (1), 2023)

Improving Speech Translation by Fusing Speech and Text. - Wenbiao Yin; Zhicheng Liu; Chengqi Zhao; Tao Wang 086; Jian Tong; Rong Ye (EMNLP (Findings), 2023)

Recent Advances in Direct Speech-to-text Translation. - Chen Xu 008; Rong Ye; Qianqian Dong; Chengqi Zhao; Tom Ko; Mingxuan Wang; Tong Xiao; Jingbo Zhu (IJCAI, 2023)

GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. - Rong Ye; Chengqi Zhao; Tom Ko; Chutong Meng; Tao Wang 086; Mingxuan Wang; Jun Cao (INTERSPEECH, 2023)

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 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)