Research

2025

1. Machine Learning

   Explainable AI

   Health Informatics

   SHIELD: A SHapley and Information-theory based framework for Equitable Learning via Dissimilar feature grouping

   Hyeonggeun Yun, Hanna Suominen^*, and Amanda Barnard^*

   Australian National University, Oct 2025

   Bib PDF Artefact Poster

   @mastersthesis{yun2025SHIELD,
     thesis_type = {Honours Thesis},
     title = {SHIELD: A SHapley and Information-theory based framework for Equitable Learning via Dissimilar feature grouping},
     author = {Yun, Hyeonggeun and Suominen, Hanna and Barnard, Amanda},
     school = {Australian National University},
     numpages = {102},
     year = {2025},
     month = oct,
     dimensions = {false},
     artefact = {https://github.com/geun-yun/SHIELD},
   }

2. Data Assimilation

   An Eulerian Data Assimilation Method for Two-Layer Quasi-Geostrophic Model in Physical Domain

   Hyeonggeun Yun and Quanling Deng^*

   arXiv (submitted to SIAM JUQ), Oct 2025

   DOI Bib PDF Artefact

   

   @article{yun2025EuDA,
     title = {An Eulerian Data Assimilation Method for Two-Layer Quasi-Geostrophic Model in Physical Domain},
     author = {Yun, Hyeonggeun and Deng, Quanling},
     journal = {arXiv (submitted to SIAM JUQ)},
     numpages = {26},
     year = {2025},
     month = oct,
     doi = {10.48550/arXiv.2509.14586},
     url = {https://arxiv.org/abs/2509.14586},
     dimensions = {false},
     artefact = {https://github.com/geun-yun/Quasi_geostrophic_model_for_LEMDA},
   }

2023

1. Logic

   Theorem Provers: One Size Fits All?

   Harrison Oates, Hyeonggeun Yun, and Nikhila Gurusinghe

   arXiv, Nov 2023

   DOI Bib PDF

   

   @article{yun2025TheoremProvers,
     title = {Theorem Provers: One Size Fits All?},
     author = {Oates, Harrison and Yun, Hyeonggeun and Gurusinghe, Nikhila},
     journal = {arXiv},
     numpages = {10},
     year = {2023},
     month = nov,
     doi = {10.48550/arXiv.2509.15015},
     url = {https://arxiv.org/abs/2509.15015},
     dimensions = {false},
   }