I am a Ph.D. student in the Optimization & Machine Learning(OptiML) Laboratory at Kim Jaechul Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST AI), where I’m fortuned to be advised by Prof. Chulhee Yun.

Before this, I got my master’s degree in Artificial Intelligence and bachelor’s degree in Mathematical Science and Electrical Engineering (double major) at Korea Advanced Institute of Science and Technology (KAIST).

Research Interests

• Deep Learning Theory
• Optimization

Education

• Ph.D. student in Artificial Intelligence, KAIST, Mar.2024-Current
• M.Sc. in Artificial Intelligence, KAIST, Mar.2022-Feb.2024
• B.S. in Mathematical Science and Electrical Engineering, KAIST, Mar.2018-Feb.2022

Academic Services

Conference Reviewer

• NeurIPS 2024
• ICLR 2025
• AISTATS 2025

Contact

• {first name}.{last name} at kaist dot ac dot kr

News

• [09/2024] Two papers got accepted to NeurIPS 2024 and our paper on Cutout/CutMix was selected as a spotlight presentation!

• [08/2024] Our paper on Cutout and CutMix was selected as KT Best Paper Award at the 2024 Korean AI Association Conference (CKAIA 2024)!

• [06/2024] One paper got accepted to ICML 2024 Workshop on Advancing Neural Network Training (WANT): Computational Efficiency, Scalability, and Resource Optimization. Our paper proposes a theory-inspired method called Direction-Aware SHrinking (DASH), which aims to mitigate plasticity loss.

• [06/2024] Our theoretical work on Cutout and CutMix got accepted to ICML 2024 Workshop on High-dimensional Learning Dynamics 2024: The Emergence of Structure and Reasoning.

• [12/2023] I defended my Master’s degree and I will start my Ph.D.

• [06/2023] Our paper on theoretical analysis of Mixup is out! I’m very happy to hear that this work got accepted to ICML 2023.

• [02/2022] I received my bachelor’s degree and will start the master’s course at KAIST AI.