A deep learning researcher. My research interests include theoretical analysis of deep neural networks, computer vision, and machine learning.
Project Researcher (特任研究員) | The University of Tokyo (UTokyo), Japan **March 2025 - Present
Graduate School of Engineering
Advisor: Prof. Yutaka Matsuo (weblab.t.u-tokyo.ac.jp)
Visiting Researcher (招へい研究員) | Osaka University (The University of Osaka), Japan **January 2024 - October 2024
Graduate School of Information Science and Technology
Advisor: Prof. Yoshinobu Kawahara (mls.ist.osaka-u.ac.jp)
Ph.D. | Pohang University of Science and Technology (POSTECH), South Korea **February 2020 - February 2025
Department of Electrical Engineering
Advisor: Prof. Sang Woo Kim (icsl.postech.ac.kr)
M.S. | Pohang University of Science and Technology (POSTECH), South Korea **February 2018 - February 2020
Department of Electrical Engineering
Advisor: Prof. Sang Woo Kim (icsl.postech.ac.kr)
B.S. | Pohang University of Science and Technology (POSTECH), South Korea February 2014 - February 2018
Department of Electrical Engineering
Born as a mixed Korean-Japanese. February 1995
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Reviewer for Conferences
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025)
International Conference on Artificial Intelligence and Statistics (AISTATS 2023, 2025)
International Conference on Learning Representations (ICLR 2025)
International Conference on Machine Learning (ICML 2025)
International Joint Conference on Artificial Intelligence (IJCAI 2025)
International Joint Conference on Neural Networks (IJCNN 2025)
Neural Information Processing Systems (NeurIPS 2024)
Reviewer for Workshops
AAAI Workshop on AI Governance: Alignment, Morality, and Law (AIGOV 2025)
AAAI Workshop on Multi-Agent AI in the Real World (MARW 2025)
ICLR Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy (DeLTa 2025)
ICLR Workshop on Foundation Models in the Wild (FM-Wild 2025)
ICLR Workshop on GenAI Watermarking (WMARK 2025)
ICLR Workshop on XAI4Science (XAI4Science 2025)
WACV Workshop on Out-of-Label Hazards in Autonomous Driving (COOOL 2025)
Reviewer for Journals
Applied Intelligence (2024)
Applied Soft Computing (2024)
Computer Vision and Image Understanding (2025, 2025)
Computers and Electrical Engineering (2024, 2025)
Engineering Applications of Artificial Intelligence (2024, 2025, 2025)
EURASIP Journal on Image and Video Processing (2024)
Expert Systems With Applications (2020, 2023, 2024, 2025, 2025)
IEEE Access (2024, 2024, 2025)
Information Fusion (2024, 2025)
International Journal of Data Science and Analytics (2024)
Knowledge-Based Systems (2024)
Measurement (2025)
Neural Networks (2024, 2024, 2024, 2025, 2025, 2025, 2025)
Neurocomputing (2024, 2024, 2025, 2025, 2025)
Pattern Recognition (2024)
Pattern Recognition Letters (2025)
Scientific Reports (2024, 2025)
The Journal of Supercomputing (2024, 2024)
The Visual Computer (2024)
Teaching Assistant
EECE276 Electrical Engineering Lab (2019, 2021, 2022, 2023)
DISU399 Next Generation Semiconductor Innovation (2022)
Scholarship
Korea Student Aid Foundation, The National Scholarship for Science and Engineering, Full Undergraduate Scholarship (2014-2018)
Oral Presentations in South Korea
POSTECH-NAVER AI DAY (2022)
Information and Control Symposium (2019), Conference on Information and Control Systems (2019, 2020), International Conference on Electric Vehicle, Smart Grid, and Information Technology (2022), KIEE Summer Conference (2023)
Languages
English: Fluent
Japanese: Native (JLPT N1, Lived for 7+ years)
Korean: Native
Industry-Academia Cooperation Projects
Samsung Advanced Institute of Technology, Autonomous Vehicles Team, Project Leader (Main), 2019-2024, Grant Number: IO201210-08019-01.
Korea Electric Power Corporation, Project Assistant (Sub), 2018-2021, Grant Number: R18XA06-21.
POSCO Research Institute, Project Assistant (Sub), 2018-2019.
Patents
ELECTRONIC DEVICE AND OPERATING METHOD OF ELECTRONIC DEVICE, Attorney Ref No. 8947-001769-US, 2022-09-21, USA Patents, Under Review.
Programming Skills
General Deep-learning Libraries: Python, PyTorch, TensorFlow, NumPy, Scikit-learn, timm, HuggingFace, and OpenMMLab. Specific Deep-learning Libraries: ONNX and TensorRT for model acceleration, Slurm for experiments on cluster environment. Linux: I live in terminal. I enjoy lots of customization with Vim, Tmux, Zsh, iTerm2, etc. Intermediate: C, C++, MATLAB, R, Java.
