Jaeill Kim, Ph.D.
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Head of Artificial Intelligence at LINE Investment Technologies (LIT)
Google Scholar / LinkedIn / jaeill dot kim at linecorp dot com
AI scientist with a strong academic foundation in language models, continual learning, and self-supervised learning, with publications in top-tier AI conferences and journals. Currently focused on quantitative research, leveraging deep learning to build robust predictive models.
Currently leading AI innovation at Line Investment Technologies, a subsidiary of LY Corporation, a leading Japanese IT company with 28,000 employees and 178 million LINE app users across Asia. Driving transformative quantitative investment strategies in Korean and global equity markets by bridging advanced AI research with quantitative finance.
NEWS
[2024.11.25] The paper titled 'Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness' has been accepted for publication in the Neural Networks journal. (SCIE, Impact Factor: 6.3)
EMPLOYMENT
LINE Investment Technologies (LIT), Pangyo, South Korea (Feb 2024 - Present)
Head of Artificial Intelligence
Inferent Capital LLC, New York, USA (Jan 2018 - Jun 2018)
Portfolio Manager and Senior Alpha and Portfolio Researcher
Ophir Partners LLC, New York, USA (Sep 2014 - Dec 2017, Merged with Inferent Capital LLC)
Senior Alpha and Portfolio Researcher and co-Portfolio Manager
WorldQuant LLC, CT, USA (Apr 2012 - May 2014)
Senior Alpha Researcher
Société Générale Corporate and Investment Banking (SG CIB), Seoul, South Korea (Nov 2010 - Feb 2012)
Proprietary Trader
Korea Telecom (KT), Seoul, South Korea (Jul 2007 - Aug 2010)
Developer
EDUCATION
Seoul National University, Seoul, South Korea (Sep 2019 - Feb 2024)
Ph.D. in Engineering
Department of Intelligence and Information, Graduate School of Convergence Science and Technology
Dissertation: Enhancing Deep Representation Learning through von Neumann Entropy Regularization
Advisor: Wonjong Rhee
Massachusetts Institute of Technology (MIT), MA, USA (Sep 2005 - Jun 2007)
S.M. in Mathematics
Thesis: Graph polynomials and statistical physics
Advisor: Igor Pak
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea (Mar 2001 - Feb 2005)
B.S. in Mathematics (Summa Cum Laude)
Gyeonggi Science High School for the Gifted, Suwon, South Korea (Mar 1998 - Feb 2001)
SCHOLARSHIP & AWARD
Teaching Assistant Scholarship, Seoul National University (2021)
Teaching Assistant Scholarship, Massachusetts Institute of Technology (2005 - 2007)
Dean's Scholarship, Korea Advanced Institute of Science and Technology (2003)
Mathematics competition for undergraduate college students in South Korea, Special Prize (2002)
46th National Science Fair in South Korea, Prime Minister Award (2000)
INVITED PRESENTATION
Poster presentation, Samsung AI Forum (Nov 7, 2023)
Poster presentation, AIIS Spring Retreat 2023 (May 19, 2023)
PUBLICATIONS (* denotes equal contribution)
Journal
[J3] “Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness”
Jaeill Kim, Wonseok Lee, Moonjung Eo, and Wonjong Rhee
Neural Networks (2025, SCIE, Impact Factor: 6.3)
[J2] “Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis”
Euna Jung*, Jaeill Kim*, Jungmin Ko, Jinwoo Park, Wonjong Rhee
IEEE Access (2024, SCIE, Impact Factor: 3.6)
[J1] “Towards a Rigorous Analysis of Mutual Information in Contrastive Learning”
Kyungeun Lee, Jaeill Kim, Suhyun Kang, and Wonjong Rhee
Neural Networks (2024, SCIE, Impact Factor: 6.3)
Conference
[C5] “Elastic Deformable Augmentation for Autonomous driving”
Jungwook Shin*, Jaeill Kim*, and Wonjong Rhee
International Conference on Information and Communication Technology Convergence (ICTC 2023). IEEE.
[C4] “Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase”
Jaeill Kim*, Jungwook Shin*, and Wonjong Rhee
International Conference on Information and Communication Technology Convergence (ICTC 2023). IEEE.
[C3] “VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution”
Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, and Wonjong Rhee
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023).
[C2] “Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion”
Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, and Wonjong Rhee
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023, ORAL presentation).
[C1] “Learning ECG representations for multi-label classification of cardiac abnormalities”
Jangwon Suh, Jimyeong Kim, Eunjung Lee, Jaeill Kim, Duhun Hwang, Jungwon Park, ... and Wonjong Rhee
In 2021 Computing in Cardiology (CinC 2021). IEEE.
Arxiv
[A1] “Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing”
Jaeill Kim*, Duhun Hwang*, Eunjung Lee, Jangwon Suh, Jimyeong Kim, and Wonjong Rhee (2024)
Summary
Neural Networks (Journal, SCIE, Impact Factor: 6.3) : [J1] [J3]
IEEE Access (Journal, SCIE, Impact Factor: 3.6) : [J2]
CinC – Computing in Cardiology : [C1]
AAAI – AAAI (Association for the Advancement of Artificial Intelligence) Conference on Artificial Intelligence : [C2]
CVPR – IEEE/CVF Conference on Computer Vision and Pattern Recognition : [C3]
ICTC – International Conference on ICT Convergence : [C4] [C5]
REVIEWER FOR TOP-TIER AI CONFERENCES
CVPR - Conference on Computer Vision and Pattern Recognition (2024, 2025)
NeurIPS - Conference on Neural Information Processing Systems (2024, 2025)
ICLR - International Conference on Learning Representations (2025, 2026)
ICML - International Conference on Machine Learning (2025)
AAAI – AAAI (Association for the Advancement of Artificial Intelligence) Conference on Artificial Intelligence (2026)
AISTATS - International Conference on Artificial Intelligence and Statistics (2025, 2026)
ICCV - International Conference on Computer Vision (2025)
TEACHING
Samsung Electronics, AI Expert, TA (Sep 5, 2023)
Seoul National University, Neural Networks (Deep Learning), TA (Fall, 2021)
Massachusetts Institute of Technology, Linear Algebra, TA (Fall, 2006 and Spring, 2007)
Massachusetts Institute of Technology, Mathematical Methods for Engineers, TA (Spring, 2006)
Massachusetts Institute of Technology, Multivariable Calculus, TA (Fall, 2005)
PATENT
Network integrated mediation system and method thereof (Korea Patent Number: 10-1090445)
SKILLS
Python (PyTorch), Linux (Ubuntu), AWS
Finance Risk Manager (FRM), Global Association of Risk Professionals (GARP) (2010)
Passed Level II of the Chartered Financial Analyst (CFA) examination (2010)
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