Embedded Files
Hi there!
I'm a passionate AI Research Scientist at LG AI Research. I graduated with a Master of Science in Industrial Engineering from Sungkyunkwan University, where I was fortunate to study under the guidance of Prof. Seokho Kang and also served as a Visiting Scholar at Carnegie Mellon University.
I have a broad interest in the fundamentals of AI Safety & Reliability of foundation models. Recently, my work has focused on the ensuring robustness under distribution shifts and enabling efficient adaptation of large-scale foundation models. I am also interested in solving real-world problems on various data domains such as computer vision, chemistry, and tabular data.
Current Research Interests
AI Safety & Reliability
Responsible Foundation Models of LLMs and VLMs
Anomaly Detection and Out-of-distribution Detection Research
Uncertainty-Aware Model Training and Inference
Tabular Learning, Time-series Forecasting
Contact
suhee.yoon [at] lgreserach [dot] ai
check my [CV], [google scholar], [linkedin]
News!
News!
[2025.5.15] Our paper on tabular representation learning is accepted at KDD 2024!
[2024.12.9] My paper as the first author has been accepted at AAAI 2025!
[2024.5.1] Our paper on tabular representation learning is accepted at ICML 2024!
[2024.4.2] Our team received 2024 LG Award.
Publication
Publication
*equal contribution
Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark
Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
[paper]
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon*, Sanghyu Yoon*, Hankook Lee, Sangjun Han, YeSeul Sim, Kyungeun Lee, Hyeseung Cho, Woohyung Lim
AAAI Conference on Artificial Intelligence (AAAI), 2025
Neural Information Processing Systems (NeurIPS) Workshop on SyntheticData4ML, 2023
[paper]
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
International Conference on Machine Learning (ICML), 2024
[paper]
Semi-Automatic Wafer Map Pattern Classification with Convolutional Neural Networks
Suhee Yoon, Seokho Kang
Computers & Industrial Engineering, 2022
[paper]
Individual Analysis with Handwriting based on Machine Learning Approach
Suhee Yoon, Boram Jeong, Hyunji Kim, Alesxander Hauptmann
2020 INFORMS Annual Meeting, 2020
Active Learning of Graph Neural Network for Molecular Property Prediction
Suhee Yoon, Seokho Kang
2019 Fall Conference of Korea Data Mining Society (KDMS), 2019
[paper]
Preprints
Preprints
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
Education
Education
Sungkyunkwan University
Suwon, South Korea (Sep 2019–Aug 2021)
Master of Science in Industrial Engineering (Advisor: Prof. Seokho Kang)
Carnegie Mellon University
Pittsburgh, Pennsylvania (Jan 2020-Aug 2020)
Intensive Program in Artificial Intelligence, Language Technologies Institute (Director: Prof. Jaime G. Carbonell)
Hogeschool Utrecht University of Applied Sciences
Utrecht, Netherlands (Mar 2014–Aug 2019)
Exchange Student
Sungkyunkwan University
Suwon, South Korea (Mar 2014–Aug 2019)
Bachelor of Science in Systems Management Engineering
Study Abroad, University of Michigan (Jul 2018)
Work Experience
Work Experience
Data Intelligence Lab, LG AI Research
Seoul, South Korea
Data Scientist (Aug 2021–Present)
MakinaRocks
Seoul, South Korea
Data Scientist, Intern (Jan 2021–Aug 2021)
Impacter
Utrecht, Netherlands
Data Scientist, Intern (Sep 2017–Jan 2018)
Honors & Scholarship
Honors & Scholarship
LG Awards (Apr 2024), LG Corps
Graduate Merit Scholarship (Mar 2019 - Jun 2021), SungKyunKwan University
Computational Design and Engineering (CDE) Award (Aug 2018), Society for Computational Design and Engineering
Partners for the Advancement of Collaborative Engineering Education (PACE) Award, (Jul 2017), General Motors, Autodesk, Hewlett Packard Enterprise, ORACLE and Siemens
Grand Challenge Tech+ Innovator (GCTI) Award (Oct 2016), Accreditation Board for Engineering Education of Korea
Academic Services
Academic Services
Conference Reviewer: ICLR’25, AAAI’25, NeurIPS’24
Page updated
Google Sites
Report abuse