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2020 – today
- 2024
[j6]Hui Huang
, Shuangzhi Wu, Kehai Chen, Xinnian Liang, Hui Di, Muyun Yang, Tiejun Zhao:
Multi-view fusion for universal translation quality estimation. Inf. Fusion 102: 102022 (2024)- [j5]Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024) - [j4]Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li:
Align vision-language semantics by multi-task learning for multi-modal summarization. Neural Comput. Appl. 36(25): 15653-15666 (2024) - [c33]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580 - [i25]Chenhao Cui, Yufan Jiang, Shuangzhi Wu, Zhoujun Li:
Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering. CoRR abs/2404.17949 (2024) - 2023
- [c32]Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang, Tiejun Zhao:
Improving Translation Quality Estimation with Bias Mitigation. ACL (1) 2023: 2175-2190 - [c31]Hui Huang, Shuangzhi Wu, Xinnian Liang, Zefan Zhou, Muyun Yang, Tiejun Zhao:
Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation. ACL (Findings) 2023: 13294-13301 - [c30]Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, Zhoujun Li:
Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. EACL 2023: 27-38 - [c29]Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong:
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. EMNLP 2023: 2875-2886 - [c28]Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li:
Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization. IJCNN 2023: 1-8 - [c27]Hui Huang, Shuangzhi Wu, Xinnian Liang, Bing Wang, Yanrui Shi, Peihao Wu, Muyun Yang, Tiejun Zhao:
Towards Making the Most of LLM for Translation Quality Estimation. NLPCC (1) 2023: 375-386 - [i24]Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, Zhoujun Li:
Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. CoRR abs/2301.12376 (2023) - [i23]Xinnian Liang, Zefan Zhou, Hui Huang, Shuangzhi Wu, Tong Xiao, Muyun Yang, Zhoujun Li, Chao Bian:
Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models. CoRR abs/2303.10893 (2023) - [i22]Xinnian Liang, Shuangzhi Wu, Hui Huang, Jiaqi Bai, Chao Bian, Zhoujun Li:
Retrieval-Augmented Classification with Decoupled Representation. CoRR abs/2303.13065 (2023) - [i21]Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, Zhoujun Li:
Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System. CoRR abs/2304.13343 (2023) - [i20]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR abs/2306.16176 (2023) - [i19]Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong:
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. CoRR abs/2310.20138 (2023) - 2022
- [j3]Xinnian Liang, Jing Li, Shuangzhi Wu, Mu Li, Zhoujun Li:
Improving Unsupervised Extractive Summarization by Jointly Modeling Facet and Redundancy. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1546-1557 (2022) - [j2]Yu Lu, Jiajun Zhang, Jiali Zeng, Shuangzhi Wu, Chengqing Zong:
Attention Analysis and Calibration for Transformer in Natural Language Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1927-1938 (2022) - [c26]Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li:
Learning Confidence for Transformer-based Neural Machine Translation. ACL (1) 2022: 2353-2364 - [c25]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li:
Task-guided Disentangled Tuning for Pretrained Language Models. ACL (Findings) 2022: 3126-3137 - [c24]Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li:
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks. COLING 2022: 6415-6425 - [c23]Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao:
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding. EMNLP (Findings) 2022: 7042-7053 - [c22]Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei:
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation. IJCAI 2022: 4454-4460 - [c21]Xinnian Liang, Chao Bian, Shuangzhi Wu, Zhoujun Li:
Towards Modeling Role-Aware Centrality for Dialogue Summarization. AACL/IJCNLP (2) 2022: 43-50 - [c20]Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Modeling Multi-Granularity Hierarchical Features for Relation Extraction. NAACL-HLT 2022: 5088-5098 - [i18]Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR abs/2202.12142 (2022) - [i17]Duyu Tang, Fan Zhang, Yong Dai, Cong Zhou, Shuangzhi Wu, Shuming Shi:
One Model, Multiple Tasks: Pathways for Natural Language Understanding. CoRR abs/2203.03312 (2022) - [i16]Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li:
Learning Confidence for Transformer-based Neural Machine Translation. CoRR abs/2203.11413 (2022) - [i15]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Yongjing Yin, Mu Li:
Task-guided Disentangled Tuning for Pretrained Language Models. CoRR abs/2203.11431 (2022) - [i14]Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Modeling Multi-Granularity Hierarchical Features for Relation Extraction. CoRR abs/2204.04437 (2022) - [i13]Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, Furu Wei:
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation. CoRR abs/2207.04900 (2022) - [i12]Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li:
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks. CoRR abs/2208.08253 (2022) - [i11]Xinnian Liang, Chenhao Cui, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Zhoujun Li:
Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization. CoRR abs/2208.11303 (2022) - [i10]Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao:
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding. CoRR abs/2211.03348 (2022) - [i9]Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong:
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework. CoRR abs/2212.08349 (2022) - [i8]Weilong Dong, Xinwei Wu, Junzhuo Li, Shuangzhi Wu, Chao Bian, Deyi Xiong:
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks. CoRR abs/2212.08354 (2022) - 2021
- [c19]Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li:
Attention Calibration for Transformer in Neural Machine Translation. ACL/IJCNLP (1) 2021: 1288-1298 - [c18]Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Improving Unsupervised Extractive Summarization with Facet-Aware Modeling. ACL/IJCNLP (Findings) 2021: 1685-1697 - [c17]Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context. EMNLP (1) 2021: 155-164 - [c16]Jiali Zeng, Shuangzhi Wu, Yongjing Yin, Yufan Jiang, Mu Li:
Recurrent Attention for Neural Machine Translation. EMNLP (1) 2021: 3216-3225 - [c15]Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Mu Li:
Enhanced Few-Shot Learning with Multiple-Pattern-Exploiting Training. NLPCC (2) 2021: 388-399 - [c14]Longyue Wang, Mu Li, Fangxu Liu, Shuming Shi, Zhaopeng Tu, Xing Wang, Shuangzhi Wu, Jiali Zeng, Wen Zhang:
Tencent Translation System for the WMT21 News Translation Task. WMT@EMNLP 2021: 216-224 - [i7]Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context. CoRR abs/2109.07293 (2021) - 2020
- [c13]Jian Yang, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Zhoujun Li, Ming Zhou:
Alternating Language Modeling for Cross-Lingual Pre-Training. AAAI 2020: 9386-9393 - [c12]Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao:
Robust Machine Reading Comprehension by Learning Soft labels. COLING 2020: 2754-2759 - [c11]Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li:
Emotion Classification by Jointly Learning to Lexiconize and Classify. COLING 2020: 3235-3245 - [c10]Shuangzhi Wu, Xing Wang, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi, Mu Li:
Tencent Neural Machine Translation Systems for the WMT20 News Translation Task. WMT@EMNLP 2020: 313-319 - [i6]Yufan Jiang, Shuangzhi Wu, Jing Gong, Yahui Cheng, Peng Meng, Weiliang Lin, Zhibo Chen, Mu Li:
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning. CoRR abs/2011.03292 (2020)
2010 – 2019
- 2019
- [c9]Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Tong Xu:
Regularizing Neural Machine Translation by Target-Bidirectional Agreement. AAAI 2019: 443-450 - [c8]Shuangzhi Wu, Dongdong Zhang, Ming Zhou:
Effective Soft-Adaptation for Neural Machine Translation. NLPCC (2) 2019: 254-264 - [c7]Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang:
Learning Unsupervised Word Mapping via Maximum Mean Discrepancy. NLPCC (1) 2019: 290-302 - [i5]Chengyi Wang, Shuangzhi Wu, Shujie Liu:
Source Dependency-Aware Transformer with Supervised Self-Attention. CoRR abs/1909.02273 (2019) - [i4]Chengyi Wang, Shuangzhi Wu, Shujie Liu:
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network. CoRR abs/1909.02279 (2019) - 2018
- [j1]Shuangzhi Wu, Dongdong Zhang, Zhirui Zhang, Nan Yang, Mu Li, Ming Zhou:
Dependency-to-Dependency Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2132-2141 (2018) - [c6]Jian Yang, Shuangzhi Wu, Dongdong Zhang, Zhoujun Li, Ming Zhou:
Improved Neural Machine Translation with Chinese Phonologic Features. NLPCC (1) 2018: 303-315 - [i3]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:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i2]Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Regularizing Neural Machine Translation by Target-bidirectional Agreement. CoRR abs/1808.04064 (2018) - [i1]Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun:
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy. CoRR abs/1811.00275 (2018) - 2017
- [c5]Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, Ming Zhou:
Sequence-to-Dependency Neural Machine Translation. ACL (1) 2017: 698-707 - [c4]Shuangzhi Wu, Ming Zhou, Dongdong Zhang:
Improved Neural Machine Translation with Source Syntax. IJCAI 2017: 4179-4185 - [c3]Shuangzhi Wu, Dongdong Zhang, Shujie Liu, Ming Zhou:
Modeling Indicative Context for Statistical Machine Translation. NLPCC 2017: 224-232 - 2015
- [c2]Shuangzhi Wu, Dongdong Zhang, Ming Zhou, Tiejun Zhao:
Efficient Disfluency Detection with Transition-based Parsing. ACL (1) 2015: 495-503 - 2013
- [c1]Dongdong Zhang, Shuangzhi Wu, Nan Yang, Mu Li:
Punctuation Prediction with Transition-based Parsing. ACL (1) 2013: 752-760
Coauthor Index
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