Xing Wang (王 星)

Biography

• I am a senior researcher at Tencent AI Lab, Shenzhen, China. I received my Ph.D. degree from Soochow University in 2018, under the supervision of Prof. Min Zhang.
• My research interests include neural/statistical machine translation, sign language translation, information extraction and biomedical NLP.

Selected Publication

Neural Machine Translation

• 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]

• 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]

• 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)

• 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. (pdf)[code]

• 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]

• Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang. Translating Phrases in Neural Machine Translation. EMNLP 2017. (pdf)

• Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang. Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017. (pdf)

Sign Language Translation

• Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu. Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. EACL 2023. (arxiv)[code]

Information Extraction

• Junjie Yu, Xing Wang, Jiangjiang Zhao, Chunjie Yang and Wenliang Chen. STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction. COLING 2022. (pdf)[code]

Biomedical NLP

• 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)[code] [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] [impact factor: 3.169]

• Xing Wang, Zhaopeng Tu and Shuming Shi. Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task. WMT 2021. (pdf)

• Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi. Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. WMT 2020. (pdf)[code]

Talk

• Invited Talk at School of Computer Science & Technology of Soochow University

• Invited Tutorial at The 18th China Conference on Machine Translation

• Invited Talk at 2022 Tencent Academic and Industrial Conference

Shared Task

• WMT2022
  • General Translation: ranked No.1 for the extremely low-resource task Livonian-English. (project page)

• WMT2021
  • Biomedical Translation: ranked No.1 for the German/French/Spanish-English tasks.
  • News Translation: ranked No.1 for the Chinese-English task, ranked No.2 for the German-English task.

• WMT2020
  • Biomedical Translation: ranked No.1 for the German-English task, ranked No.3 for the English-German task. (project page, system report)
  • News Translation: ranked No.2 for the Chinese-English task, ranked No.2 for the English-Chinese task. (system report)
  • Chats Translation: ranked No.2 for the German-English task. (system report)

Experience

• 2019/09 - present.    Senior Researcher at Tencent AI Lab, Shenzhen.
• 2018/07 - 2019/09.    Researcher at Tencent AI Lab, Shenzhen.
• 2017/08 - 2018/02.    Research intern at Tencent AI Lab, Shenzhen.
• 2016/04 - 2016/10.    Research intern at Noahs Ark Lab, Huawei Technologies, Hong Kong.
• 2012/09 - 2013/09.    Visiting student at NLP Group, ICT, CAS, Beijing.

Project

• Tencent AI Lab RhinoBird Focused Research Program, Technology Innovation Award (top 10%) (2020/08 - 2021/08, CO-PI)
• CCF-Tencent Rhino-Bird Young Faculty Open Research Fund (2021/10 - 2022/10, CO-PI)

Research Intern (co-supervised)

• Jie Hao (PhD student from Florida State University, 2018/07 - 2019/05)
• Shilin He (PhD student from Chinese University of Hong Kong, 2019/04 - 2019/06)
• Wenxiang Jiao (PhD student from Chinese University of Hong Kong, 2019/09 - 2021/08)
• Yongchang Hao (Undergraduate student from Soochow University, 2020/02 - 2021/07)
• Jiaqing Zhang (Master student from University of Florida, 2020/08 - 2021/08)
• Zhiwei He (Undergraduate student from South China University of Technology, 2021/03 - 2021/06, PhD student from Shanghai Jiao Tong University, 2021/07 - present)
• Jinhui Ye (Undergraduate student from South China University of Technology, Master student from The Hong Kong University of Science and Technology (Guangzhou), 2021/08 - 2022/09)
• Tian Liang (Master student from Tsinghua Shenzhen International Graduate School, 2022/03 - present) Tencent Rhino-Bird Elite Training Program 2022-2023
• Zhengsheng Guo (Master student from Harbin Institute of Technology, Shenzhen, 2022/10 - present)

Professional Service

• Conference PC Member or Reviewer: ACL ARR, NeurIPS, EMNLP, NAACL, AAAI, IJCAI, COLING, CCL, NLPCC, CWMT.
• Journal Reviewer: TASLP, TACL, Neurocomputing, TALLIP, Pattern Recognition Letters, Journal of Computer Science and Technology.