- TemporalBench: Towards Fine-grained Temporal Understanding for Multimodal Video Models, NeurIPS 2024 Workshop on Video-Language Models (oral), 2024
- Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks, International Conference on Machine Learning (ICML), 2024
- Image Clustering Conditioned on Text Criteria, International Conference on Learning Representations (ICLR), 2024
- Conditionally Optimal Parallelization of Real-Time DAG Tasks for Global EDF, IEEE Real-Time Systems Symposium (RTSS), 2021
Research Experience
Research intern at Krafton AI, working closely with Prof. Kangwook Lee, Prof. Dimitris Papailiopoulos, and Prof. Ernest K. Ryu.
Education
M.S./Ph.D. student in Computer Science at UW-Madison, advised by Prof. Yong Jae Lee; Bachelor's degree in Mathematics and Computer Science with a minor in Philosophy of Science from SNU, advised by Prof. Wonjong Rhee.
Background
Research interests: Improving, understanding, and analyzing foundation models, both empirically and theoretically. Ultimately aims to develop deployable machine learning agents that can solve challenging real-world problems.
Miscellany
Actively looking for internship positions for 2025 Summer on multimodal and foundation models, in and out of the US.