I'm a Ph.D. student @ Yonsei MIR lab, advised by Youngjae Yu.
I study multimodal machine learning and knowledge understanding.
My long-term goal is to understand the operations of human understanding using computational methods.
Publications
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms (EMNLP 2023: co-author)
Paper / Github (tbu)
Commonsense norms dataset extended with visual context, with a focus on defeasibility
Projects
Naver HyperCLOVA X LLM (2023)
Contributed to training & evaluating a new Korean-centric pretrained language model
Website / Tech Report (tbu)
Programming Skills
Machine Learning
PyTorch: For debugging & fast prototyping
Jax: For scaling up to multi-gpu or tpu environments
Gradio: For demos & data explorers
Education
Bachelor’s Degree (Yonsei University, ~2018)
Double Major
Computer Science
Philosophy
Minor
English Language & Literature
Master’s Degree (Seoul National University, ~2022)
Major
Computer Engineering (Machine Learning)
Doctor’s Degree (Yonsei University)
Major
Artificial Intelligence (Multimodal Learning)
Experience
Teaching Assistant
Discrete Mathematics (Undergraduate Course, Fall 2019)
IoT/AI/Big-Data (IAB) (Undergraduate Course, Fall 2019)
Artificial Intelligence (AI) (Graduate Course, Spring 2021)
Computer Vision (CV) (Undergraduate Course, Fall 2021)
Multimodal Machine Learning (Graduate Course, Spring 2023)