A universal approach to translating numerical and time expressions. - Mei Tu; Yu Zhou 001; Chengqing Zong (IWSLT, 2012)

A Novel Translation Framework Based on Rhetorical Structure Theory. - Mei Tu; Yu Zhou 001; Chengqing Zong (ACL (2), 2013)

Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. - Mei Tu; Yu Zhou 001; Chengqing Zong (ACL (1), 2014)

Exploring Diverse Features for Statistical Machine Translation Model Pruning. - Mei Tu; Yu Zhou 001; Chengqing Zong (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Neural Machine Translation Strategies for Generating Honorific-style Korean. - Lijie Wang; Mei Tu; Mengxia Zhai; Huadong Wang; Song Liu; Sang Ha Kim (IALP, 2019)

End-to-end Speech Translation System Description of LIT for IWSLT 2019. - Mei Tu; Wei Liu; Lijie Wang; Xiao Chen; Xue Wen (IWSLT, 2019)

Enhancing Attention Models via Multi-head Collaboration. - Huadong Wang; Mei Tu (IALP, 2020)

End-to-End Speech Translation with Self-Contained Vocabulary Manipulation. - Mei Tu; Fan Zhang; Wei Liu (ICASSP, 2020)

Accelerating Neural Machine Translation with Partial Word Embedding Compression. - Fan Zhang; Mei Tu; Jinyao Yan (AAAI, 2021)

Long-range Sequence Modeling with Predictable Sparse Attention. - Yimeng Zhuang; Jing Zhang; Mei Tu (ACL (1), 2022)

A CNN Model with Discretized Mobile Features for Depression Detection. - Yueru Yan; Mei Tu; Hongbo Wen (BSN, 2022)

Detecting Depression, Anxiety and Mental Stress in One Sequential Model with Multi-task Learning. - Shen Zhang; Mei Tu; Yueru Yan; Yimeng Zhuang; Likun Ge; Gaoxia Wei (HCI (46), 2022)

ASR Error Correction with Dual-Channel Self-Supervised Learning. - Fan Zhang; Mei Tu; Song Liu; Jinyao Yan (ICASSP, 2022)

Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task. - Cong Ma 002; Yaping Zhang; Mei Tu; Xu Han; Linghui Wu; Yang Zhao 007; Yu Zhou 001 (ICPR, 2022)

Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. - Bohua Peng; Mobarakol Islam; Mei Tu (ACM Multimedia, 2022)

Depression Detection via Influence-based Relabeling for Resolving Training Set Noise. - Mei Tu; Ziang Zhao; Jinting Wu; Jaehun Lee; Hwangrae Lee; Jinwoo Song (SMC, 2022)

Improved Transformer With Multi-Head Dense Collaboration. - Huadong Wang; Xin Shen 003; Mei Tu; Yimeng Zhuang; Zhiyuan Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Pretrained Bidirectional Distillation for Machine Translation. - Yimeng Zhuang; Mei Tu (ACL (1), 2023)

CCIM: Cross-modal Cross-lingual Interactive Image Translation. - Cong Ma 002; Yaping Zhang; Mei Tu; Yang Zhao 007; Yu Zhou 001; Chengqing Zong (EMNLP (Findings), 2023)

Multi-Modal Beam Selection: A Transfer Methodology for Multi-Frequency. - Dong Wang; Huiyang Wang; Mei Tu; Fan Zhang; Xiangfeng Gao; Zhigang Wang (GLOBECOM, 2023)

A Person Identification System for the ICASSP 2023 e-Prevention Challenge. - Jinting Wu; Mei Tu (ICASSP, 2023)

Multi-teacher Knowledge Distillation for End-to-End Text Image Machine Translation. - Cong Ma 002; Yaping Zhang; Mei Tu; Yang Zhao 007; Yu Zhou 001; Chengqing Zong (ICDAR (1), 2023)

E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation. - Cong Ma 002; Yaping Zhang; Mei Tu; Yang Zhao 007; Yu Zhou 001; Chengqing Zong (ICDAR (6), 2023)

Label-Free Multi-Domain Machine Translation with Stage-wise Training. - Fan Zhang; Mei Tu; Sang Ha Kim; Song Liu; Jinyao Yan (CoRR, 2023)

Multi-Teacher Knowledge Distillation For Text Image Machine Translation. - Cong Ma 002; Yaping Zhang; Mei Tu; Yang Zhao 007; Yu Zhou 001; Chengqing Zong (CoRR, 2023)

Unsupervised Relapse Detection Using Wearable-Based Digital Phenotyping for the 2nd E-Prevention Challenge. - Jinting Wu; Mei Tu (ICASSP Workshops, 2024)

A Cross Search Method for Data Augmentation in Neural Machine Translation. - Mengchao Zhang; Mei Tu; Fan Zhang; Song Liu (ICASSP, 2024)

A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy. - Fan Zhang; Mei Tu; Song Liu; Jinyao Yan (NAACL-HLT (Findings), 2024)