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2020 – today
- 2024
[c24]Jinting Wu, Mei Tu:
Unsupervised Relapse Detection Using Wearable-Based Digital Phenotyping for the 2nd E-Prevention Challenge. ICASSP Workshops 2024: 47-48- [c23]Mengchao Zhang, Mei Tu, Fan Zhang, Song Liu:
A Cross Search Method for Data Augmentation in Neural Machine Translation. ICASSP 2024: 11071-11075 - [c22]Fan Zhang, Mei Tu, Song Liu, Jinyao Yan:
A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy. NAACL-HLT (Findings) 2024: 2381-2392 - 2023
- [c21]Yimeng Zhuang, Mei Tu:
Pretrained Bidirectional Distillation for Machine Translation. ACL (1) 2023: 1132-1145 - [c20]Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong:
CCIM: Cross-modal Cross-lingual Interactive Image Translation. EMNLP (Findings) 2023: 4959-4965 - [c19]Dong Wang, Huiyang Wang, Mei Tu, Fan Zhang, Xiangfeng Gao, Zhigang Wang:
Multi-Modal Beam Selection: A Transfer Methodology for Multi-Frequency. GLOBECOM 2023: 6322-6327 - [c18]Jinting Wu, Mei Tu:
A Person Identification System for the ICASSP 2023 e-Prevention Challenge. ICASSP 2023: 1-2 - [c17]Cong Ma
, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong:
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation. ICDAR (6) 2023: 70-88 - [c16]Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong:
Multi-teacher Knowledge Distillation for End-to-End Text Image Machine Translation. ICDAR (1) 2023: 484-501 - [i5]Fan Zhang, Mei Tu, Sang Ha Kim, Song Liu, Jinyao Yan:
Label-Free Multi-Domain Machine Translation with Stage-wise Training. CoRR abs/2305.03949 (2023) - [i4]Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong:
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation. CoRR abs/2305.05166 (2023) - [i3]Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong:
Multi-Teacher Knowledge Distillation For Text Image Machine Translation. CoRR abs/2305.05226 (2023) - 2022
- [j2]Huadong Wang, Xin Shen, Mei Tu, Yimeng Zhuang, Zhiyuan Liu:
Improved Transformer With Multi-Head Dense Collaboration. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2754-2767 (2022) - [c15]Yimeng Zhuang, Jing Zhang, Mei Tu:
Long-range Sequence Modeling with Predictable Sparse Attention. ACL (1) 2022: 234-243 - [c14]Yueru Yan, Mei Tu, Hongbo Wen:
A CNN Model with Discretized Mobile Features for Depression Detection. BSN 2022: 1-4 - [c13]Shen Zhang, Mei Tu, Yueru Yan, Yimeng Zhuang, Likun Ge, Gaoxia Wei:
Detecting Depression, Anxiety and Mental Stress in One Sequential Model with Multi-task Learning. HCI (46) 2022: 191-200 - [c12]Fan Zhang, Mei Tu, Song Liu, Jinyao Yan:
ASR Error Correction with Dual-Channel Self-Supervised Learning. ICASSP 2022: 7282-7286 - [c11]Cong Ma, Yaping Zhang, Mei Tu, Xu Han, Linghui Wu, Yang Zhao, Yu Zhou:
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task. ICPR 2022: 1664-1670 - [c10]Bohua Peng, Mobarakol Islam, Mei Tu:
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. ACM Multimedia 2022: 979-987 - [c9]Mei Tu, Ziang Zhao, Jinting Wu, Jaehun Lee, Hwangrae Lee, Jinwoo Song:
Depression Detection via Influence-based Relabeling for Resolving Training Set Noise. SMC 2022: 1868-1873 - [i2]Bohua Peng, Mobarakol Islam, Mei Tu:
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration. CoRR abs/2207.08525 (2022) - [i1]Cong Ma, Yaping Zhang, Mei Tu, Xu Han, Linghui Wu, Yang Zhao, Yu Zhou:
Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task. CoRR abs/2210.03887 (2022) - 2021
- [c8]Fan Zhang, Mei Tu, Jinyao Yan:
Accelerating Neural Machine Translation with Partial Word Embedding Compression. AAAI 2021: 14356-14364 - 2020
- [c7]Huadong Wang, Mei Tu:
Enhancing Attention Models via Multi-head Collaboration. IALP 2020: 19-23 - [c6]Mei Tu, Fan Zhang, Wei Liu:
End-to-End Speech Translation with Self-Contained Vocabulary Manipulation. ICASSP 2020: 7929-7933
2010 – 2019
- 2019
- [c5]Lijie Wang, Mei Tu, Mengxia Zhai, Huadong Wang, Song Liu, Sang Ha Kim:
Neural Machine Translation Strategies for Generating Honorific-style Korean. IALP 2019: 450-455 - [c4]Mei Tu, Wei Liu, Lijie Wang, Xiao Chen, Xue Wen:
End-to-end Speech Translation System Description of LIT for IWSLT 2019. IWSLT 2019 - 2015
- [j1]Mei Tu, Yu Zhou, Chengqing Zong:
Exploring Diverse Features for Statistical Machine Translation Model Pruning. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1847-1857 (2015) - 2014
- [c3]Mei Tu, Yu Zhou, Chengqing Zong:
Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. ACL (1) 2014: 850-860 - 2013
- [c2]Mei Tu, Yu Zhou, Chengqing Zong:
A Novel Translation Framework Based on Rhetorical Structure Theory. ACL (2) 2013: 370-374 - 2012
- [c1]Mei Tu, Yu Zhou, Chengqing Zong:
A universal approach to translating numerical and time expressions. IWSLT 2012: 209-216
Coauthor Index
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