Hyunjin Seo
I am a Ph.D. student at Machine Learning and Intelligence Lab (MLILAB) at KAIST, under the supervision of Prof. Eunho Yang. My primary research focuses on the practical applications of geometric deep learning. This includes relation-guided multimodal understanding, where I integrate large language models/vision-language models with geometric deep learning to enhance their reasoning capabilities across diverse data modalities. Additionally, I have developed data and model pruning techniques to address the computational challenges associated with training large-scale graphs, maximizing the utility of deep learning for structured data. My research also extends into the domain of chemistry and materials informatics, where I am designing an AI-based framework for polymer representation learning.
