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Xing Wang 0007
Person information
- affiliation: Tencent AI Lab.
- affiliation (PhD 2018): Soochow University, School of Computer Science and Technology, Institute of Artificial Intelligence, Suzhou, China
Other persons with the same name
- Xing Wang — disambiguation page
- Xing Wang 0001 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China
- Xing Wang 0002 — Liaoning Technical University, School of Electronic and Information Engineering / Institute of Data Science and Industry, Huludao, China (and 1 more)
- Xing Wang 0003 — Simon Fraser University, School of Engineering Science, Burnaby, BC, Canada
- Xing Wang 0004 — Jiangxi University of Finance and Economics, School of Information Technology, Nanchang, China (and 1 more)
- Xing Wang 0005 — Central South University, College of Information Science and Engineering, Changsha, China
- Xing Wang 0006 — Shanghai Aerospace Control Technology Institute, China
- Xing Wang 0008 — Xi'an University of Technology, School of Science, China
- Xing Wang 0009 — University of Illinois at Urbana-Champaign, Department of Chemistry, Urbana, IL, USA (and 3 more)
- Xing Wang 0010 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
- Xing Wang 0011 — George Mason University, Department of Computer Science, Fairfax, VA, USA
- Xing Wang 0012 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
- Xing Wang 0013 — Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing, China
- Xing Wang 0014 — Xidian University, National Key Laboratory of Science and Technology on Antennas and Microwaves, Xi'an, China
- Xing Wang 0015 — Tsinghua University, Department of Automation, Beijing, China
- Xing Wang 0016 — CSIRO, Robotics and Autonomous Systems Group, Data61, Brisbane, Australia (and 1 more)
- Xing Wang 0017 — Central South University, School of Automation, Changsha, China
- Xing Wang 0018 — Nanjing Institute of Technology, China (and 2 more)
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2020 – today
- 2024
- [j8]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. Trans. Assoc. Comput. Linguistics 12: 229-246 (2024) - [c40]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 (1) 2024: 4115-4129 - [c39]Tian Liang, Xing Wang, Mingming Yang, Yujiu Yang, Shuming Shi, Zhaopeng Tu:
Addressing Entity Translation Problem via Translation Difficulty and Context Diversity. ACL (Findings) 2024: 11628-11638 - [c38]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. ACL (Findings) 2024: 14041-14055 - [c37]Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu:
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. EMNLP 2024: 17889-17904 - [c36]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-HLT 2024: 8164-8180 - [i39]Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, Xiangxiang Zeng:
DrugAssist: A Large Language Model for Molecule Optimization. CoRR abs/2401.10334 (2024) - [i38]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. CoRR abs/2401.12873 (2024) - [i37]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. CoRR abs/2402.07726 (2024) - [i36]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. CoRR abs/2402.14007 (2024) - [i35]Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments. CoRR abs/2403.11807 (2024) - [i34]Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong:
Improving Gloss-free Sign Language Translation by Reducing Representation Density. CoRR abs/2405.14312 (2024) - [i33]Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao:
CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. CoRR abs/2406.13381 (2024) - [i32]Xiaolin Xing, Zhiwei He, Haoyu Xu, Xing Wang, Rui Wang, Yu Hong:
Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models. CoRR abs/2407.01358 (2024) - 2023
- [c35]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. EACL 2023: 463-476 - [c34]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong:
Cross-modality Data Augmentation for End-to-End Sign Language Translation. EMNLP (Findings) 2023: 13558-13571 - [c33]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. EMNLP (Findings) 2023: 15009-15020 - [i31]Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, Zhaopeng Tu:
Is ChatGPT A Good Translator? A Preliminary Study. CoRR abs/2301.08745 (2023) - [i30]Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, Zhaopeng Tu:
ParroT: Translating During Chat Using Large Language Models. CoRR abs/2304.02426 (2023) - [i29]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. CoRR abs/2305.04118 (2023) - [i28]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong:
Cross-modality Data Augmentation for End-to-End Sign Language Translation. CoRR abs/2305.11096 (2023) - [i27]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. CoRR abs/2305.19118 (2023) - [i26]Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang:
Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models. CoRR abs/2310.20499 (2023) - 2022
- [j7]Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022) - [j6]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [c32]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - [c31]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. ACL (1) 2022: 6611-6623 - [c30]Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang:
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task. WMT 2022: 260-267 - [i25]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. CoRR abs/2203.08394 (2022) - [i24]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - [i23]Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu:
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. CoRR abs/2210.07054 (2022) - [i22]Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang:
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task. CoRR abs/2210.08742 (2022) - 2021
- [j5]Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
On the diversity of multi-head attention. Neurocomputing 454: 14-24 (2021) - [c29]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c28]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996 - [c27]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 - [c26]Xing Wang, Zhaopeng Tu, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task. WMT@EMNLP 2021: 874-878 - [i21]Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi:
TranSmart: A Practical Interactive Machine Translation System. CoRR abs/2105.13072 (2021) - [i20]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - 2020
- [j4]Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu:
Exploiting deep representations for natural language processing. Neurocomputing 386: 1-7 (2020) - [j3]Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, Min Zhang:
A Novel Sentence-Level Agreement Architecture for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2585-2597 (2020) - [c25]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020: 8204-8211 - [c24]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c23]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c22]Mingming Yang, Xing Wang, Min Zhang, Tiejun Zhao:
Incorporating Phrase-Level Agreement into Neural Machine Translation. NLPCC (1) 2020: 416-428 - [c21]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 - [c20]Longyue Wang, Zhaopeng Tu, Xing Wang, Li Ding, Liang Ding, Shuming Shi:
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task. WMT@EMNLP 2020: 483-491 - [c19]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 881-886 - [i19]Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR abs/2004.13270 (2020) - [i18]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i17]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i16]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR abs/2010.12868 (2020)
2010 – 2019
- 2019
- [c18]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. AAAI 2019: 86-93 - [c17]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. AAAI 2019: 387-394 - [c16]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. ACL (1) 2019: 6197-6203 - [c15]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 887-897 - [c14]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP/IJCNLP (1) 2019: 921-930 - [c13]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. EMNLP/IJCNLP (1) 2019: 953-962 - [c12]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. EMNLP/IJCNLP (1) 2019: 1336-1341 - [c11]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. EMNLP/IJCNLP (1) 2019: 1403-1409 - [c10]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. NAACL-HLT (1) 2019: 1198-1207 - [c9]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL-HLT (1) 2019: 3566-3575 - [i15]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. CoRR abs/1902.05766 (2019) - [i14]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. CoRR abs/1902.05770 (2019) - [i13]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. CoRR abs/1904.03092 (2019) - [i12]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. CoRR abs/1904.03100 (2019) - [i11]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. CoRR abs/1906.01268 (2019) - [i10]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. CoRR abs/1909.00326 (2019) - [i9]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. CoRR abs/1909.00369 (2019) - [i8]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. CoRR abs/1909.00383 (2019) - [i7]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. CoRR abs/1909.01562 (2019) - [i6]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. CoRR abs/1909.02222 (2019) - [i5]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. CoRR abs/1911.09877 (2019) - 2018
- [j2]Xing Wang, Zhaopeng Tu, Min Zhang:
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2255-2266 (2018) - [c8]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018: 4253-4262 - [i4]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. CoRR abs/1810.10181 (2018) - [i3]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018) - 2017
- [c7]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c6]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. EMNLP 2017: 1421-1431 - [i2]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. CoRR abs/1708.01980 (2017) - 2016
- [i1]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. CoRR abs/1610.05150 (2016) - 2015
- [j1]Deyi Xiong, Min Zhang, Xing Wang:
Topic-Based Coherence Modeling for Statistical Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 483-493 (2015) - [c5]Xing Wang, Deyi Xiong, Min Zhang:
Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation. EMNLP 2015: 1391-1400 - 2014
- [c4]Le Liu, Yu Hong, Hao Liu, Xing Wang, Jian-Min Yao:
Effective Selection of Translation Model Training Data. ACL (2) 2014: 569-573 - [c3]Xing Wang, Deyi Xiong, Min Zhang, Yu Hong, Jianmin Yao:
A Topic-Based Reordering Model for Statistical Machine Translation. NLPCC 2014: 414-421 - 2013
- [c2]Xing Wang, Jun Xie, Linfeng Song, Yajuan Lv, Jian-Min Yao:
Phrase Filtering for Content Words in Hierarchical Phrase-Based Model. CLSW 2013: 490-498 - [c1]Linfeng Song, Jun Xie, Xing Wang, Yajuan Lv, Qun Liu:
Rule Refinement for Spoken Language Translation by Retrieving the Missing Translation of Content Words. IALP 2013: 75-78
Coauthor Index
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