Shuangzhi Wu

According to our database, Shuangzhi Wu authored at least 51 papers between 2013 and 2024.

Collaborative distances:

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

2024

Multi-view fusion for universal translation quality estimation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Xinnian Liang, Hui Di, Muyun Yang, Tiejun Zhao

Inf. Fusion, February, 2024

2023

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.

Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi

CoRR, 2023

Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System.

Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li

CoRR, 2023

Retrieval-Augmented Classification with Decoupled Representation.

Xinnian Liang, Shuangzhi Wu, Hui Huang, Jiaqi Bai, Chao Bian, Zhoujun Li

CoRR, 2023

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models.

Xinnian Liang, Zefan Zhou, Hui Huang, Shuangzhi Wu, Tong Xiao, Muyun Yang, Zhoujun Li, Chao Bian

CoRR, 2023

Towards Making the Most of LLM for Translation Quality Estimation.

Hui Huang, Shuangzhi Wu, Xinnian Liang, Bing Wang, Yanrui Shi, Peihao Wu, Muyun Yang, Tiejun Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization.

Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li

Proceedings of the International Joint Conference on Neural Networks, 2023

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models.

Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality.

Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, Zhoujun Li

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation.

Hui Huang, Shuangzhi Wu, Xinnian Liang, Zefan Zhou, Muyun Yang, Tiejun Zhao

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

Improving Translation Quality Estimation with Bias Mitigation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang, Tiejun Zhao

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

2022

Attention Analysis and Calibration for Transformer in Natural Language Generation.

Yu Lu, Jiajun Zhang, Jiali Zeng, Shuangzhi Wu, Chengqing Zong

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Improving Unsupervised Extractive Summarization by Jointly Modeling Facet and Redundancy.

Xinnian Liang, Jing Li, Shuangzhi Wu, Mu Li, Zhoujun Li

IEEE ACM Trans. Audio Speech Lang. Process., 2022

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks.

Weilong Dong, Xinwei Wu, Junzhuo Li, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework.

Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong

CoRR, 2022

Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization.

Xinnian Liang, Chenhao Cui, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Zhoujun Li

CoRR, 2022

One Model, Multiple Tasks: Pathways for Natural Language Understanding.

Duyu Tang, Fan Zhang, Yong Dai, Cong Zhou, Shuangzhi Wu, Shuming Shi

CoRR, 2022

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words.

Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi

CoRR, 2022

Modeling Multi-Granularity Hierarchical Features for Relation Extraction.

Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Modeling Role-Aware Centrality for Dialogue Summarization.

Xinnian Liang, Chao Bian, Shuangzhi Wu, Zhoujun Li

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation.

Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding.

Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao

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

An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks.

Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Task-guided Disentangled Tuning for Pretrained Language Models.

Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li

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

Learning Confidence for Transformer-based Neural Machine Translation.

Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Tencent Translation System for the WMT21 News Translation Task.

Longyue Wang, Mu Li, Fangxu Liu, Shuming Shi, Zhaopeng Tu, Xing Wang, Shuangzhi Wu, Jiali Zeng, Wen Zhang

Proceedings of the Sixth Conference on Machine Translation, 2021

Enhanced Few-Shot Learning with Multiple-Pattern-Exploiting Training.

Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Mu Li

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Recurrent Attention for Neural Machine Translation.

Jiali Zeng, Shuangzhi Wu, Yongjing Yin, Yufan Jiang, Mu Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context.

Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Attention Calibration for Transformer in Neural Machine Translation.

Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li

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

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling.

Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning.

Yufan Jiang, Shuangzhi Wu, Jing Gong, Yahui Cheng, Peng Meng, Weiliang Lin, Zhibo Chen, Mu Li

CoRR, 2020

Tencent Neural Machine Translation Systems for the WMT20 News Translation Task.

Shuangzhi Wu, Xing Wang, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi, Mu Li

Proceedings of the Fifth Conference on Machine Translation, 2020

Emotion Classification by Jointly Learning to Lexiconize and Classify.

Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Robust Machine Reading Comprehension by Learning Soft labels.

Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Alternating Language Modeling for Cross-Lingual Pre-Training.

Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou

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

2019

Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network.

Chengyi Wang, Shuangzhi Wu, Shujie Liu

CoRR, 2019

Source Dependency-Aware Transformer with Supervised Self-Attention.

Chengyi Wang, Shuangzhi Wu, Shujie Liu

CoRR, 2019

Learning Unsupervised Word Mapping via Maximum Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Effective Soft-Adaptation for Neural Machine Translation.

Shuangzhi Wu, Dongdong Zhang, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Regularizing Neural Machine Translation by Target-Bidirectional Agreement.

Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dependency-to-Dependency Neural Machine Translation.

Shuangzhi Wu, Dongdong Zhang, Zhirui Zhang, Nan Yang, Mu Li, Ming Zhou

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun

CoRR, 2018

Regularizing Neural Machine Translation by Target-bidirectional Agreement.

Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen

CoRR, 2018

Achieving Human Parity on Automatic Chinese to English News Translation.

Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou

CoRR, 2018

Improved Neural Machine Translation with Chinese Phonologic Features.

Jian Yang, Shuangzhi Wu, Dongdong Zhang, Zhoujun Li, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2018

2017

Modeling Indicative Context for Statistical Machine Translation.

Shuangzhi Wu, Dongdong Zhang, Shujie Liu, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Improved Neural Machine Translation with Source Syntax.

Shuangzhi Wu, Ming Zhou, Dongdong Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sequence-to-Dependency Neural Machine Translation.

Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, Ming Zhou

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

Efficient Disfluency Detection with Transition-based Parsing.

Shuangzhi Wu, Dongdong Zhang, Ming Zhou, Tiejun Zhao

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Punctuation Prediction with Transition-based Parsing.

Dongdong Zhang, Shuangzhi Wu, Nan Yang, Mu Li

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013