@mastersthesis{SHIELD,thesis_type={Honours Thesis},title={SHIELD: SHapley and Information-theoretic based framework for Equitable Learning via Dissimilar feature grouping},author={Yun, Hyeonggeun and Suominen, Hanna and Barnard, Amanda},school={Australian National University},numpages={},year={2025},month=oct,doi={},url={},dimensions={false},artefact={https://github.com/geun-yun/SHIELD},}
2024
Data Assimilation
Lagrangian-Eulerian Multiscale Data Assimilation in Physical Domain based on Conditional Gaussian Nonlinear System
@article{arXivDA,title={Lagrangian-Eulerian Multiscale Data Assimilation in Physical Domain based on Conditional Gaussian Nonlinear System},author={Yun, Hyeonggeun and Deng, Quanling},journal={arXiv},numpages={28},year={2024},month=nov,doi={https://doi.org/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
Logic
Theorem Provers: One Size Fits All?
Harrison Oates, Hyeonggeun Yun, and Nikhila Gurusinghe
@article{arXivLogic,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={https://doi.org/10.48550/arXiv.2509.15015},url={https://arxiv.org/abs/2509.15015},dimensions={false},}