Ho-min Park
About Me
Computer Science Engineering PhD with deep expertise in machine learning, spanning from foundational concepts to state-of-the-art architectures including CNNs, Transformers, GANs, and Diffusion models.
Research Interests
- Machine Learning & Deep Learning: CNNs, Transformers, GANs, Diffusion Models
- Medical Imaging: MRI-based diagnosis, Rotator Cuff Tear detection
- Bioinformatics: CRISPR-Cas systems, Protein structure prediction
- Affective Computing: Stress detection, Multimodal sentiment analysis
- Environmental Science: Microplastics detection
Recent Publications
Citations: 271 | h-index: 10 | i10-index: 10
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
KT Nguyen, H Park, G Oh, J Vankerschaver, W De Neve
IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
Cited by 4
Interpreting Stress Detection Models using SHAP and Attention for MuSe-Stress 2022
H Park, G Kim, J Oh, A Van Messem, W De Neve
IEEE Transactions on Affective Computing, 2024
Cited by 8
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
H Lee, U Ozbulak, H Park, S Depuydt, W De Neve, J Vankerschaver
BMC bioinformatics, 2024
Cited by 10
Interpretable Rotator Cuff Tear Diagnosis Using MRI Slides with CAMscore and SHAP
H Park, I Yun, M Kim, KT Nguyen, A Van Messem, W De Neve
Medical Imaging 2024: Computer-Aided Diagnosis, SPIE, 2024
Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception
AK Singh, G Kim, J Kim, H Park, BJ Choi, W De Neve
Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop, 2024
Education
| Degree | Institution | Year |
|---|---|---|
| Ph.D. in Computer Science | Ghent University, Belgium | 2018 - 2025 |
| M.S. in Computer Engineering | Ajou University, South Korea | 2016 - 2018 |
| B.S. in Computer Science | Ajou University, South Korea | 2010 - 2016 |
Awards
- 2nd Place, MuSe-Personalisation Challenge 2023
- 3rd Place, MuSe-Stress Challenge 2022
- Best Presentation Award, IIAE 2019