Hyunjin Seo
I am a Ph.D. student in the department of AI at KAIST. My primary research focuses on the practical applications of geometric deep learning. This includes relation-guided multimodal understanding, where I integrate large 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 generation.
