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2020 – today
- 2024
[j6]Liumeng Xue
, Chaoren Wang, Mingxuan Wang, Xueyao Zhang, Jun Han, Zhizheng Wu:
SingVisio: Visual analytics of diffusion model for singing voice conversion. Comput. Graph. 124: 104058 (2024)- [j5]Hai Huan, Mingxuan Wang:
Residual adaptive sparse hybrid attention transformer for image super resolution. Eng. Appl. Artif. Intell. 136: 108990 (2024) - [j4]Xiaoqing Gu, Yutong Wang, Mingxuan Wang, Tongguang Ni:
A Multi-view Semi-supervised Takagi-Sugeno-Kang Fuzzy System for EEG Emotion Classification. Int. J. Fuzzy Syst. 26(4): 1285-1299 (2024) - [c72]Qianqian Dong, Zhiying Huang, Qi Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang:
PolyVoice: Language Models for Speech to Speech Translation. ICLR 2024 - [c71]Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou:
Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning. NAACL-HLT 2024: 4846-4862 - [i69]Liumeng Xue, Chaoren Wang, Mingxuan Wang, Xueyao Zhang, Jun Han, Zhizheng Wu:
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion. CoRR abs/2402.12660 (2024) - 2023
- [j3]Liyan Kang, Shaojie He, Mingxuan Wang, Fei Long, Jinsong Su:
Bilingual attention based neural machine translation. Appl. Intell. 53(4): 4302-4315 (2023) - [c70]Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
MobileNMT: Enabling Translation in 15MB and 30ms. ACL (industry) 2023: 368-378 - [c69]Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang:
MOSPC: MOS Prediction Based on Pairwise Comparison. ACL (2) 2023: 1547-1556 - [c68]Yifan Wang, Zewei Sun, Shanbo Cheng, Weiguo Zheng, Mingxuan Wang:
Controlling Styles in Neural Machine Translation with Activation Prompt. ACL (Findings) 2023: 2606-2620 - [c67]Yaoming Zhu, Zewei Sun, Shanbo Cheng, Luyang Huang, Liwei Wu, Mingxuan Wang:
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation. ACL (Findings) 2023: 2679-2697 - [c66]Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang:
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. ACL (1) 2023: 5166-5183 - [c65]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: 5428-5443 - [c64]Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou:
DUB: Discrete Unit Back-translation for Speech Translation. ACL (Findings) 2023: 7147-7164 - [c63]Liyan Kang, Luyang Huang, Ningxin Peng, Peihao Zhu, Zewei Sun, Shanbo Cheng, Mingxuan Wang, Degen Huang, Jinsong Su:
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation. ACL (Findings) 2023: 8456-8473 - [c62]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. ACL (1) 2023: 13321-13339 - [c61]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CVPR 2023: 19155-19164 - [c60]Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou:
M3ST: Mix at Three Levels for Speech Translation. ICASSP 2023: 1-5 - [c59]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: 6796-6804 - [c58]Zihan Liu, Zewei Sun, Shanbo Cheng, Shujian Huang, Mingxuan Wang:
Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation. IJCNLP (1) 2023: 733-743 - [c57]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: 2168-2172 - [c56]Chutong Meng, Junyi Ao, Tom Ko, Mingxuan Wang, Haizhou Li:
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. INTERSPEECH 2023: 2978-2982 - [c55]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [c54]Mingxuan Wang, Tianyi Liu, Yanhua Li:
Empirical analysis of economic growth promotion through standardization through technological innovation pathway. PCCNT 2023: 24:1-24:7 - [e1]Mingxuan Wang, Imed Zitouni:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023. Association for Computational Linguistics 2023 [contents] - [i68]Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Mingxuan Wang:
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises. CoRR abs/2302.10025 (2023) - [i67]Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou:
DUB: Discrete Unit Back-translation for Speech Translation. CoRR abs/2305.11411 (2023) - [i66]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. CoRR abs/2305.17358 (2023) - [i65]Liyan Kang, Luyang Huang, Ningxin Peng, Peihao Zhu, Zewei Sun, Shanbo Cheng, Mingxuan Wang, Degen Huang, Jinsong Su:
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation. CoRR abs/2305.18326 (2023) - [i64]Qianqian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang:
PolyVoice: Language Models for Speech to Speech Translation. CoRR abs/2306.02982 (2023) - [i63]Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
MobileNMT: Enabling Translation in 15MB and 30ms. CoRR abs/2306.04235 (2023) - [i62]Ye Lin, Mingxuan Wang, Zhexi Zhang, Xiaohui Wang, Tong Xiao, Jingbo Zhu:
Understanding Parameter Sharing in Transformers. CoRR abs/2306.09380 (2023) - [i61]Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang:
MOSPC: MOS Prediction Based on Pairwise Comparison. CoRR abs/2306.10493 (2023) - [i60]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 abs/2306.11646 (2023) - [i59]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 abs/2307.03131 (2023) - [i58]Zihan Liu, Zewei Sun, Shanbo Cheng, Shujian Huang, Mingxuan Wang:
Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation. CoRR abs/2309.14174 (2023) - [i57]Zhichao Huang, Rong Ye, Tom Ko, Qianqian Dong, Shanbo Cheng, Mingxuan Wang, Hang Li:
Speech Translation with Large Language Models: An Industrial Practice. CoRR abs/2312.13585 (2023) - 2022
- [c53]Qian Dong, Yaoming Zhu, Mingxuan Wang, Lei Li:
Learning When to Translate for Streaming Speech. ACL (1) 2022: 680-694 - [c52]Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li:
Rethinking Document-level Neural Machine Translation. ACL (Findings) 2022: 3537-3548 - [c51]Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang:
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. ACL (1) 2022: 7050-7062 - [c50]Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang:
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus. ICASSP 2022: 7272-7276 - [c49]Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li:
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder. ICLR 2022 - [c48]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. INTERSPEECH 2022: 1781-1785 - [c47]Rong Ye, Mingxuan Wang, Lei Li:
Cross-modal Contrastive Learning for Speech Translation. NAACL-HLT 2022: 5099-5113 - [c46]Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li:
LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. SC 2022: 38:1-38:14 - [c45]Xian Qian, Kai Hu, Jiaqiang Wang, Yifeng Liu, Xingyuan Pan, Jun Cao, Mingxuan Wang:
The VolcTrans System for WMT22 Multilingual Machine Translation Task. WMT 2022: 1068-1075 - [i56]Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang:
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus. CoRR abs/2202.00468 (2022) - [i55]Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang:
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. CoRR abs/2203.10426 (2022) - [i54]Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao:
GigaST: A 10, 000-hour Pseudo Speech Translation Corpus. CoRR abs/2204.03939 (2022) - [i53]Rong Ye, Mingxuan Wang, Lei Li:
Cross-modal Contrastive Learning for Speech Translation. CoRR abs/2205.02444 (2022) - [i52]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. CoRR abs/2205.08993 (2022) - [i51]Zewei Sun, Qingnan Jiang, Shujian Huang, Jun Cao, Shanbo Cheng, Mingxuan Wang:
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts. CoRR abs/2209.11409 (2022) - [i50]Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei Li, Hao Zhou:
PARAGEN : A Parallel Generation Toolkit. CoRR abs/2210.03405 (2022) - [i49]Chutong Meng, Junyi Ao, Tom Ko, Mingxuan Wang, Haizhou Li:
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning. CoRR abs/2210.04062 (2022) - [i48]Xian Qian, Kai Hu, Jiaqiang Wang, Yifeng Liu, Xingyuan Pan, Jun Cao, Mingxuan Wang:
The VolcTrans System for WMT22 Multilingual Machine Translation Task. CoRR abs/2210.11599 (2022) - [i47]Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang:
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CoRR abs/2211.15398 (2022) - [i46]Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou:
M3ST: Mix at Three Levels for Speech Translation. CoRR abs/2212.03657 (2022) - [i45]Jiahuan Li, Shanbo Cheng, Zewei Sun, Mingxuan Wang, Shujian Huang:
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation. CoRR abs/2212.08822 (2022) - [i44]Yifan Wang, Zewei Sun, Shanbo Cheng, Weiguo Zheng, Mingxuan Wang:
Controlling Styles in Neural Machine Translation with Activation Prompt. CoRR abs/2212.08909 (2022) - [i43]Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang:
SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation. CoRR abs/2212.09305 (2022) - [i42]Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou:
Diff-Glat: Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning. CoRR abs/2212.10240 (2022) - [i41]Yaoming Zhu, Zewei Sun, Shanbo Cheng, Yuyang Huang, Liwei Wu, Mingxuan Wang:
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation. CoRR abs/2212.10313 (2022) - 2021
- [c44]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Consecutive Decoding for Speech-to-text Translation. AAAI 2021: 12738-12748 - [c43]Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation. AAAI 2021: 12749-12759 - [c42]Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structures for Domain Specific Neural Machine Translation. AAAI 2021: 13333-13342 - [c41]Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, Lei Li:
NeurST: Neural Speech Translation Toolkit. ACL (demo) 2021: 55-62 - [c40]Xiao Pan, Mingxuan Wang, Liwei Wu, Lei Li:
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation. ACL/IJCNLP (1) 2021: 244-258 - [c39]Zehui Lin, Liwei Wu, Mingxuan Wang, Lei Li:
Learning Language Specific Sub-network for Multilingual Machine Translation. ACL/IJCNLP (1) 2021: 293-305 - [c38]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. ACL/IJCNLP (1) 2021: 1993-2003 - [c37]Chi Han, Mingxuan Wang, Heng Ji, Lei Li:
Learning Shared Semantic Space for Speech-to-Text Translation. ACL/IJCNLP (Findings) 2021: 2214-2225 - [c36]Liwei Wu, Shanbo Cheng, Mingxuan Wang, Lei Li:
Language Tags Matter for Zero-Shot Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 3001-3007 - [c35]Zewei Sun, Mingxuan Wang, Lei Li:
Multilingual Translation via Grafting Pre-trained Language Models. EMNLP (Findings) 2021: 2735-2747 - [c34]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Counter-Interference Adapter for Multilingual Machine Translation. EMNLP (Findings) 2021: 2812-2823 - [c33]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. EMNLP (Findings) 2021: 4639-4644 - [c32]Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang, Lei Li:
Learning Kernel-Smoothed Machine Translation with Retrieved Examples. EMNLP (1) 2021: 7280-7290 - [c31]Xinyu Yue, Yuan Xing, Yu Liang, Bo Hu, Zheng Wang, Mingxuan Wang:
Assessment for basic and advanced surgical skill training. ICAC 2021: 1-6 - [c30]Rong Ye, Mingxuan Wang, Lei Li:
End-to-End Speech Translation via Cross-Modal Progressive Training. Interspeech 2021: 2267-2271 - [c29]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: 64-74 - [c28]Mingxuan Wang, Hongxiao Bai, Lei Li, Hai Zhao:
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation. NAACL-HLT (Industry Papers) 2021: 89-96 - [c27]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: 105-112 - [c26]Xiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Wang, Lei Li:
LightSeq: A High Performance Inference Library for Transformers. NAACL-HLT (Industry Papers) 2021: 113-120 - [c25]Quanyu Long, Mingxuan Wang, Lei Li:
Generative Imagination Elevates Machine Translation. NAACL-HLT 2021: 5738-5748 - [c24]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. WMT@EMNLP 2021: 187-196 - [i40]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 abs/2103.16189 (2021) - [i39]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Serial or Parallel? Plug-able Adapter for multilingual machine translation. CoRR abs/2104.08154 (2021) - [i38]Rong Ye, Mingxuan Wang, Lei Li:
End-to-end Speech Translation via Cross-modal Progressive Training. CoRR abs/2104.10380 (2021) - [i37]Chi Han, Mingxuan Wang, Heng Ji, Lei Li:
Learning Shared Semantic Space for Speech-to-Text Translation. CoRR abs/2105.03095 (2021) - [i36]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 abs/2105.07319 (2021) - [i35]Zehui Lin, Liwei Wu, Mingxuan Wang, Lei Li:
Learning Language Specific Sub-network for Multilingual Machine Translation. CoRR abs/2105.09259 (2021) - [i34]Xiao Pan, Mingxuan Wang, Liwei Wu, Lei Li:
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation. CoRR abs/2105.09501 (2021) - [i33]Liwei Wu, Shanbo Cheng, Mingxuan Wang, Lei Li:
Language Tags Matter for Zero-Shot Neural Machine Translation. CoRR abs/2106.07930 (2021) - [i32]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. CoRR abs/2108.12137 (2021) - [i31]Zewei Sun, Mingxuan Wang, Lei Li:
Multilingual Translation via Grafting Pre-trained Language Models. CoRR abs/2109.05256 (2021) - [i30]Qianqian Dong, Yaoming Zhu, Mingxuan Wang, Lei Li:
UniST: Unified End-to-end Model for Streaming and Non-streaming Speech Translation. CoRR abs/2109.07368 (2021) - [i29]Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang, Lei Li:
Learning Kernel-Smoothed Machine Translation with Retrieved Examples. CoRR abs/2109.09991 (2021) - [i28]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. CoRR abs/2109.11247 (2021) - [i27]Xiaohui Wang, Ying Xiong, Xian Qian, Yang Wei, Lei Li, Mingxuan Wang:
LightSeq: Accelerated Training for Transformer-based Models on GPUs. CoRR abs/2110.05722 (2021) - 2020
- [c23]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: 9378-9385 - [c22]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. ACL (demo) 2020: 1-8 - [c21]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS 2020: 122-132 - [c20]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. EMNLP (1) 2020: 2649-2663 - [c19]Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. EMNLP (Findings) 2020: 4908-4917 - [c18]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) 2020: 9119-9130 - [c17]Liwei Wu, Xiao Pan, Zehui Lin, Yaoming Zhu, Mingxuan Wang, Lei Li:
The Volctrans Machine Translation System for WMT20. WMT@EMNLP 2020: 305-312 - [c16]Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li:
Volctrans Parallel Corpus Filtering System for WMT 2020. WMT@EMNLP 2020: 985-990 - [i26]Hongxiao Bai, Mingxuan Wang, Hai Zhao, Lei Li:
Unsupervised Neural Machine Translation with Indirect Supervision. CoRR abs/2004.03137 (2020) - [i25]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR abs/2007.06018 (2020) - [i24]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. CoRR abs/2007.08005 (2020) - [i23]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. CoRR abs/2008.07905 (2020) - [i22]Quanyu Long, Mingxuan Wang, Lei Li:
Generative Imagination Elevates Machine Translation. CoRR abs/2009.09654 (2020) - [i21]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
TED: Triple Supervision Decouples End-to-end Speech-to-text Translation. CoRR abs/2009.09704 (2020) - [i20]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
SDST: Successive Decoding for Speech-to-text Translation. CoRR abs/2009.09737 (2020) - [i19]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. CoRR abs/2010.03142 (2020) - [i18]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 abs/2010.08961 (2020) - [i17]Xiaohui Wang, Ying Xiong, Yang Wei, Mingxuan Wang, Lei Li:
LightSeq: A High Performance Inference Library for Sequence Processing and Generation. CoRR abs/2010.13887 (2020) - [i16]Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li:
Volctrans Parallel Corpus Filtering System for WMT 2020. CoRR abs/2010.14029 (2020) - [i15]Liwei Wu, Xiao Pan, Zehui Lin, Yaoming Zhu, Mingxuan Wang, Lei Li:
The Volctrans Machine Translation System for WMT20. CoRR abs/2010.14806 (2020) - [i14]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. CoRR abs/2011.05864 (2020) - [i13]Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li:
Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR abs/2012.02975 (2020) - [i12]Chengqi Zhao, Mingxuan Wang, Lei Li:
NeurST: Neural Speech Translation Toolkit. CoRR abs/2012.10018 (2020) - [i11]Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structure for Domain Specific Neural Machine Translation. CoRR abs/2012.10586 (2020)
2010 – 2019
- 2019
- [c15]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 1304-1312 - [c14]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. EMNLP/IJCNLP (1) 2019: 803-812 - [i10]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.02041 (2019) - [i9]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 abs/1908.05672 (2019) - [i8]Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei Li:
Non-autoregressive Transformer by Position Learning. CoRR abs/1911.10677 (2019) - 2018
- [j2]Xiangmin Lun, Mingxuan Wang, Zhenglin Yu, Yimin Hou:
Commercial Video Evaluation via Low-Level Feature Extraction and Selection. Adv. Multim. 2018: 2056381:1-2056381:20 (2018) - [j1]Jinsong Su, Jiali Zeng, Deyi Xiong, Yang Liu, Mingxuan Wang, Jun Xie:
A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 623-632 (2018) - [c13]Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
Deep Semantic Role Labeling With Self-Attention. AAAI 2018: 4929-4936 - [c12]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian:
Neural Machine Translation with Decoding History Enhanced Attention. COLING 2018: 1464-1473 - [c11]Mingxuan Wang, Li Gong, Wenhuan Zhu, Jun Xie, Chao Bian:
Tencent Neural Machine Translation Systems for WMT18. WMT (shared task) 2018: 522-527 - [i7]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. CoRR abs/1811.00287 (2018) - 2017
- [c10]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. ACL (1) 2017: 136-145 - [c9]Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou:
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. ACL (1) 2017: 1524-1534 - [i6]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. CoRR abs/1705.00861 (2017) - [i5]Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
Deep Semantic Role Labeling with Self-Attention. CoRR abs/1712.01586 (2017) - 2016
- [c8]Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu:
Is Local Window Essential for Neural Network Based Chinese Word Segmentation? CCL 2016: 450-457 - [c7]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. EMNLP 2016: 278-286 - [c6]Qingsong Ma, Fandong Meng, Daqi Zheng, Mingxuan Wang, Yvette Graham, Wenbin Jiang, Qun Liu:
MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance. NLPCC/ICCPOL 2016: 153-161 - [i4]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. CoRR abs/1606.02003 (2016) - 2015
- [c5]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. ACL (1) 2015: 20-30 - [c4]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. ACL (1) 2015: 1567-1576 - [c3]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-Based Deep Matching of Short Texts. IJCAI 2015: 1354-1361 - [i3]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR abs/1503.01838 (2015) - [i2]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-based Deep Matching of Short Texts. CoRR abs/1503.02427 (2015) - [i1]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. CoRR abs/1503.05034 (2015) - 2013
- [c2]Huaixian Yin, Haibo Ni, Liang Sun, Mingxuan Wang, Xun Zhou:
A caching-list based fast handoff mechanism in wireless mesh networks. ICTC 2013: 402-407 - 2011
- [c1]Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic:
A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. IJCNN 2011: 2783-2786
Coauthor Index
[c66] [c53] [c52] [c51] [c49] [c47] [c46] [i55] [i53] [i50] [i43] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c14] [i9] [i8] [i7]
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