Xing Wang (王 星)
E-mail: xingwsuda@gmail.com
|
Publications
- Jiahui Li, Yongchang Hao, Haoyu Xu, Xing Wang*, Yu Hong. Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models. COLING 2025. (pdf)[code]
- Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong. Improving Gloss-free Sign Language Translation by Reducing Representation Density. NeurIPS 2024. (arxiv)[code]
- Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang*, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. EMNLP 2024. (pdf)[code]
- Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang*, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang. Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models. ACL 2024. (pdf)[code]
- Tian Liang, Xing Wang*, Mingming Yang, Yujiu Yang, Shuming Shi, Zhaopeng Tu. Addressing Entity Translation Problem via Translation Difficulty and Context Diversity
. Findings of ACL 2024.
- Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang. Unsupervised Sign Language Translation and Generation. Findings of ACL 2024. (arxix)
- Zhiwei He, Xing Wang*, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu. Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. NAACL 2024. (pdf)[code]
- Junjie Yu, Xing Wang, Wenxiang Chen. Reliable Data Generation and Selection for Low-Resource Relation Extraction. AAAI 2024. (arxiv)
- Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang. Exploring Human-Like Translation Strategy with Large Language Models. Transaction of ACL 2024. (pdf)[code]
- Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu. ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback. Findings of EMNLP 2023. (pdf)[code]
- Jinhui Ye, Wenxiang Jiao, Xing Wang*, Zhaopeng Tu, Hui Xiong. Cross-modality Data Augmentation for End-to-End Sign Language Translation. Findings of EMNLP 2023. (arxiv)[code]
- Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu. Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. EACL 2023. (arxiv)[code]
- Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu. Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. ACL 2022. (pdf)[code]
- Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael Lyu. Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL 2022. (pdf)
- Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi and Rui Wang. Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task
. WMT 2022. (pdf)[code]
- Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael Lyu and Zhaopeng Tu. Exploiting Inactive Examples for Natural Language Generation with Data Rejuvenation. IEEE/ACM Transactions on Audio, Speech and Language Processing 2022. (html)
- Junjie Yu, Xing Wang, Jiangjiang Zhao, Chunjie Yang and Wenliang Chen. STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction. COLING 2022. (arxiv)[code]
- Jinghang Gu, Emmanuele Chersoni, Xing Wang, Chu-Ren Huang, Longhua Qian, Guodong Zhou. LitCovid ensemble learning for COVID-19 multi-label classification. Database 2022. (html) [impact factor: 4.462]
- Jinghang Gu, Rong Xiang, Xing Wang, Jing Li, Wenjie Li, Longhua Qian, Guodong Zhou and Chu-Ren Huang. Multi-probe attention neural network for COVID-19 semantic indexing. BMC Bioinformatics 2022. (html)[code]
- Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael Lyu and Irwin King. Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL 2021. (pdf)[code]
- Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang. Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL 2021. (arxiv)[code]
- Jian Li, Xing Wang, Zhaopeng Tu, and Michael Lyu. On the Diversity of Multi-Head Attention. Neurocomputing, 2021. (html)
- Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi. Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. WMT 2020. (pdf)
- Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael Lyu and Zhaopeng Tu. Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP 2020. (pdf)[code]
- Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, and Min Zhang. A Novel Sentence-Level Agreement Architecture for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
(pdf)
- Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu and Zhaopeng Tu. How Does Selective Mechanism Improve Self-Attention Networks?. ACL 2020.
(pdf)
- Zi-Yi Dou+, Xing Wang+, Shuming Shi, and Zhaopeng Tu. Exploiting Deep Representations for Natural Language Processing. Neurocomputing, 2020.
(+ indicates equal contribution. html)
- Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, and Zhaopeng Tu. Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020.
(arxiv)
- Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi. Self-Attention with Structural Position Representations. EMNLP 2019.
(pdf)
- Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu. Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP 2019.
(pdf)
- Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu. Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. EMNLP 2019.
(pdf)
- Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi. Towards Understanding Neural Machine Translation with Word Importance. EMNLP 2019.
(pdf)
- Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi. One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP 2019.
(pdf)
- Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi. Exploiting Sentential Context for Neural Machine Translation. ACL 2019.
(pdf)
- Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu. Modeling Recurrence for Transformer. NAACL 2019.
(pdf)
- Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, and Zhaopeng Tu. Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL 2019.
(pdf)
- Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, and Tong Zhang. Dynamic Layer Aggregation for Neural Machine Translation. AAAI 2019.(arxiv)
- Baosong Yang, Jian Li, Derek Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu. Context-Aware Self-Attention Networks. AAAI 2019.
(arxiv)
- Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang. Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018.
(pdf)
- Xing Wang, Zhaopeng Tu, Min Zhang. Incorporating Statistical Machine Translation Word Knowledge into Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018.
(pdf)
- Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang. Translating Phrases in Neural Machine Translation. EMNLP 2017. (arxiv)
(pdf)
- Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang. Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017.
(arxiv) (pdf)
- Xing Wang, Deyi Xiong, Min Zhang. Neural Machine Translation.
(in Chinese). (html)
- Xing Wang, Deyi Xiong, Min Zhang. Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.
EMNLP 2015. (pdf) (video)
- Deyi Xiong, Min Zhang, Xing Wang. Topic-Based Coherence Modeling for Statistical Machine Translation.
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2015. (pdf)
- Le Liu, Yu Hong, Hao Liu, Xing Wang, Jianmin Yao. Effective Selection of Translation Model Training Data.
ACL 2014. (pdf)
|
|