A deep learning researcher. My research interests include theoretical analysis of deep neural networks, computer vision, and machine learning.

🎓 Experience

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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📚 Review Activities

Summary: Reviewer for over 30 international conferences, workshops, and journals.

Reviewer for Conferences

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025)

European Conference on Artificial Intelligence (ECAI 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, 2025)

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, 2025)

Applied Soft Computing (2024, 2025, 2025, 2025, 2025)

Computer Vision and Image Understanding (2025, 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, 2025)

Information Sciences (2025)

International Journal of Data Science and Analytics (2024)

Knowledge-Based Systems (2024, 2025, 2025)

Measurement (2025)

Multimedia Systems (2025)

Multimedia Tools and Applications (2025)

Neural Networks (2024, 2024, 2024, 2025, 2025, 2025, 2025, 2025, 2025)

Neurocomputing (2024, 2024, 2025, 2025, 2025, 2025, 2025)

Pattern Recognition (2024, 2025, 2025, 2025)

Pattern Recognition Letters (2025)

Scientific Reports (2024, 2025)

The Journal of Supercomputing (2024, 2024, 2025)

The Visual Computer (2024)

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🧑🏻‍🏫 Professional Services in Academia

Teaching Assistant

EECE276 Electrical Engineering Lab (2019, 2021, 2022, 2023)

DISU399 Next Generation Semiconductor Innovation (2022)

Languages

English: Fluent

Japanese: Native (JLPT N1、日本在住7年以上、大学事務・行政手続きに支障なし)

Korean: Native

Scholarship

Korea Student Aid Foundation, The National Scholarship for Science and Engineering, Full Undergraduate Scholarship (2014-2018)

Oral Presentations in South Korea



📝 Publications (International Journal and Conference)

Summary: Published 14 international journal papers (including 8 as first author) and 5 international conference papers (including 3 as first author), all peer-reviewed.

  1. Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models BJ Kim, Y Kawahara, SW Kim Transactions on Machine Learning Research https://openreview.net/forum?id=bpaLYaf6Dp
  2. Font conversion for steel product number recognition: A conditioned diffusion model approach T Lee, H Choi, BJ Kim, H Jang, D Lee, SW Kim Advanced Engineering Informatics 65, 103368 https://doi.org/10.1016/j.aei.2025.103368