CV

Education

2022-2025, Doctoral Program (Final Three-year Program), Department of Intelligent Systems [link]

• Graduate School of Informatics, Nagoya University, Japan
  • Behavior Signal Processing Laboratory (Takeda Lab), Sports Behavior Group
  • THERS Interdisciplinary Frontier Next Generation Researcher - Outstanding Researcher

2021-2022, Master of Science (MSc) in Risk Management Science and Data Analytics [link]

• The Chinese University of Hong Kong, Hong Kong S.A.R.
  • Academic Excellence Award 2022

2018-2021, Bachelor of Science (BSc) (Hons) in Mathematics and Statistics [link]

• Hong Kong Baptist University, Hong Kong S.A.R.
  • Concentration in Financial Risk Management
  • Science Faculty Board Student Representative
  • Mathematics Department Peer-Tutor

2016-2018, Associate’s degree in Business Administration

• Hong Kong Baptist University, Hong Kong S.A.R.

Work experience

Summer 2018, Summer Professional Attachment Programme

• Census and Statistics Department, Hong Kong S.A.R.

Skills

• Machine Learning
• Sport Science
• Risk Management
• Statistics
• Python
  • Pytorch
  • Sklearn
• R, SPSS, SAS, Matlab

Publications

Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis

Yeung, C., Sit, T., & Fujii, K. (2023). Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis. arXiv preprint arXiv:2302.09276.

A framework of interpretable match results prediction in football with FIFA ratings and team formation

Yeung, C., Bunker, R., & Fujii, K. (2023). A framework of interpretable match results prediction in football with FIFA ratings and team formation. PLoS ONE 18(4): e0284318. https://doi.org/10.1371/journal.pone.0284318

Presentation

Forecasting Football Match Result with GAP Rating and Player Rating

July 12, 2022

Conference Presentation at MathSport International Conference 2022, UK