Who am I?

Guoxin Wang (王国鑫) is a Senior Research SDE in Visual Document Intelligence Team of Microsoft Azure AI and work on nature language and document understanding projects in 2019. He joined in Big Data Mining and Knowledge Computing Group of Microsoft Research Asia (MSRA) in 2015.

His research interests broadly include: natural language processing, document understanding, named entity recognition and deep learning.

The very beginning mind itself is the most accomplished mind of true enlightenment.


Work Experience

  • Since 2019 winter, Senior Research SDE, Microsoft Azure AI, Visual Document Intelligence Team
    (Redmond, U.S.).
  • 2017 spring, Research SDE2, Microsoft Research Asia, Knowledge Computing Team
    (Beijing, China).
  • 2015, Research Intern, Microsoft Research Asia, Big Data Mining Team.
  • 2014, R&D Intern, Baidu, Inc., Baidu Map Team.


  • Master in Cartography and Geographic Information System. Faculty of Geographical Science, Beijing Normal University. Advisor: Prof. Shunlin Liang.
  • Bachelor in Geo-Information Science. School of Engineering and Technology, China University of Geosciences, Beijing.



Natural Language and Document Understanding

  • Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou
    LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
    In ACL, 2021
  • Danqing Huang, Jinpeng Wang, Guoxin Wang, Chin-Yew Lin
    Visual Style Extraction from Chart Images for Chart Restyling
    In ICPR, 2020
  • Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje Karlsson, Biqing Huang, Chin-Yew Lin
    Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
    In AAAI, 2020
  • Yuying Zhu, Guoxin Wang, Börje Karlsson
    CAN-NER: Convolutional attention network for Chinese named entity recognition
    In NAACL, 2019
  • Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje Karlsson
    DeepMRT at the NTCIR-14 FinNum task: a hybrid neural model for numeral type classification in financial tweets
    In NTCIR-14, 2019

Remote Sensing

  • Aolin Jia, Shunlin Liang, Bo Jiang, Xiaotong Zhang, & Guoxin Wang
    Comprehensive assessment of global surface net radiation products and uncertainty analysis
    Journal of Geophysical Research: Atmospheres, 2018
  • Xiaotong Zhang, Shunlin Liang, Guoxin Wang, et al.
    Evaluation of the reanalysis surface incident shortwave radiation products from NCEP, ECMWF, GSFC, and JMA using satellite and surface observations
    Remote Sensing, 2016
  • Xiaotong Zhang, Shunlin Liang, Zhen Song, Hailin Niu, Guoxin Wang, et al.
    Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline
    IEEE Transactions on Geoscience and Remote Sensing, 2015


  • guoxwang AT outlook DOT com
  • Redmond, WA, 98007.
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