Hyuck Lee
Machine Learning Engineer
Hyuck Lee
Machine Learning Engineer
I’m the team lead for User Modeling AI and AI Service Engineering team within Deep Learning division of Krafton. I completed my Ph.D program at the Industrial Statistics Lab (iStat Lab) of Korea Advanced Institute of Science and Technology (KAIST) advised by Prof. Heeyoung Kim. I am very interested in applying AI to industry.
Research Interests : Tabular foundation model, Video foundation model, Long-tailed learning, Semi-supervised learning, Long-tailed semi-supervised learning, Multi-Label Classification, Applying AI on semiconductor
Contacts : dlgur0921@krafton.com
Career
Krafton / Team lead / User Modeling AI and AI Service Engineering team 07. 2025 ~
Krafton / Team lead / ML R&D team 04. 2025 ~ 07. 2025
Krafton / Deep learning engineer / ML R&D team 08. 2024 ~ 04. 2025
Education
KAIST / Ph.D. in Department of Industrial and Systems Engineering 03. 2020 - 08.2024
Under the supervision of Prof. Heeyoung Kim
KAIST / M.S. in Department of Industrial and Systems Engineering 03. 2018 - 02. 2020
Under the supervision of Prof. Heeyoung Kim
KAIST / B.S. in Department of Industrial and Systems Engineering 03. 2014 - 02. 2018
Publications
A Robust Data-centric Anti-Cheat Framework for Fair Competitive Gaming
M. Kim, J. Park, C. Lee, G. Seo, U. Hwang, H. Lee
International World Wide Web Conference (WWW) 2026. [To be submitted]
Delving into Large Language Models for Effective Time-Series Anomaly Detection
J. Park, K. Jung, D. Lee, H. Lee, D. Gwak, C. Park, J. Choo, J. Cho
The 39th Annual Conference on Neural Information Processing Systems (NeurIPS) 2025. [Under review]
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
H. Lee, T. Park and H. Kim
The IEEE/CVF International Conference on Computer Vision (ICCV) 2025. [accepted]
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
J. Park, H. Lee, D. Lee, D. Gwak and J. Choo
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025. [paper]
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
T. Park*, H. Lee*, and H Kim
European Conference on Computer Vision (ECCV) 2024. [paper]
Classification of Chip-level Defect Types in Wafer Bin Maps Using Only Wafer-level Labels
H. Lee, H. Kim and H. Kim
ASME Journal of Manufacturing Science and Engineering, 146(7): 070902 2024. [paper]
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee and H. Kim
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024. [paper]
Semi-Supervised Learning for Simultaneous Location Detection and Classification of Mixed-Type Defect Patterns in Wafer Bin Maps
Hyuck Lee, J. Lee and H. Kim
IEEE Transactions on Semiconductor Manufacturing 36(2), 220-230 2023. [paper]
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee, S. Shin and H. Kim
Conference on Neural Information Processing Systems (NeurIPS) 2021. [paper]
Semi-Supervised Multi-Label Learning for Classification of Wafer Bin Maps With Mixed-Type Defect Patterns
Hyuck Lee and H. Kim
IEEE Transactions on Semiconductor Manufacturing, 33(4), 653-662 2020. [paper]
Honors & Awards
Song Hyun Award, Department of Industrial and Systems Engineering in KAIST 2018
Dean’s List (Top 3%), Faculty of Engineering Department in KAIST 2016
National Excellence Scholarship, Korea Scholarship Foundation 2016
Services
GPU Server Manager / Department of Industrial and Systems Engineering in KAIST (03. 2019 - 02. 2023)
Instructor for AI basic / Republic of Korea Air Force Academy (04. 10. 2022)
Academic Services / Served as Reviewer of AI Conferences
2025 ICCV Reviewer
2024 ICML Reviewer
2024 ICLR Reviewer
2023 NeurIPS Reviewer
2022 NeurIPS Reviewer
2022 ICML Reviewer
Tutor for Engineering Statistics II / Department of Industrial and Systems Engineering in KAIST (09. 2020 - 12. 2020)
Counseling Assistant / Department of Industrial and Systems Engineering in KAIST (03. 2018 - 02. 2019)
Internship / Dotname Corporation (06. 2017 - 08. 2017)
Vice General Planning Director / Future Industrial Engineering Leaders and Dreamers (FIELD) (08. 2016 - 07. 2017)
Student Council Secretary / Department of Industrial and Systems Engineering in KAIST (03. 2016 - 02. 2017)
Other interests
Reading books and discussing / I am particularly interested in reading novels. (I am a fan of Milan Kundera )
Fitness activities / I especially enjoy running and cycling.