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Bing Wang

Research Fellow in Informatics

Specialisms

  • Natural Language Processing, 
  • Graph Neural Network, 
  • Geometric Deep Learning, 
  • Multimodal Machine Learning, 
  • Digital Health, 
  • Air Quality and Climate Change

Location

Whiteknights campus

Bing Wang is an informatics research fellow in the Informatics Research Centre at Henley Business School with expertise in Natural Language Processing, Graph Neural Network, and Multimodal Machine Learning.

Bing has been working as a data scientist at Royal Berkshire NHS Foundation Trust since December 2019. His research interests are Natural Language Processing, Machine Learning, and Geometric Deep Learning in health care, air quality and climate change.

Reference: Wang, B. , Li, W. , Bradlow, A., Chan, A. T. Y. and Bazuaye, E. (2024) Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records. In: The 57th Hawaii International Conference on System Sciences, 3-6 Jan 2024, Hawaii, pp. 3416-3424.
Henley faculty authors:
Bing Wang - Professor Weizi (Vicky) Li
Reference: Wang, B. , Li, W. , Bradlow, A., Bazuaye, E. and Chan, A. T. Y. (2023) Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning. Decision Support Systems, 166. 113899. ISSN 0167-9236 doi: https://doi.org/10.1016/j.dss.2022.113899
Henley faculty authors:
Bing Wang - Professor Weizi (Vicky) Li
Reference: Yuan, Y., Zhang, X., Zhao, J., Shen, F. , Nie, D., Wang, B. , Wang, L., Xing, M. and Hegglin, M. I. (2023) Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China. Frontiers in Public Health, 11. 1075262. ISSN 2296-2565 doi: https://doi.org/10.3389/fpubh.2023.1075262
Henley faculty authors:
Bing Wang