I am a Research Scientist in the Multimodal Model Lab at Huawei Singapore Research Center, where I work on post-training for video generation models with Prof. Hanwang Zhang.
I received my Ph.D degree in computer science and engineering department at POSTECH, where I was a member of the Computer Vision Lab (CVLab), advised by Prof. Suha Kwak. During my Ph.D., I worked on improving the robustness of vision models by discovering and mitigating spurious correlations.
Previously, I received a B.S. in computer science and engineering department from POSTECH in 2017.
Work experience
- Jun 2025 – present: Research Scientist, Multimodal Model Lab, Huawei Singapore Research Center
- Working with Prof. Hanwang Zhang
- Mar 2024 – May 2024: Visiting Researcher, University of Tübingen
- Host: Prof. Seong Joon Oh
- Jan 2018 – Feb 2018: Research Intern, Samsung Electronics
- Mar 2017 – Sep 2017: Research Intern, Exem
Publications
GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
Nayeong Kim, Seong Joon Oh, Suha Kwak
arXiv preprint, 2025
[ Paper ]
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
Sohyun Lee, Nayeong Kim, Juwon Kang, Seong Joon Oh, Suha Kwak
arXiv preprint, 2025
[ Paper ]
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak
ECCV, 2024
[ Paper ]
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
ICML, 2024
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Moon Ye-Bin*, Nam Hyeon-Woo*, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
ICCV 2023 - Workshop on MMFM: What is Next in Multimodal Foundation Models? (MMFM), 2023
[ Paper ]
Removing Multiple Biases through the Lens of Multi-task Learning
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
ICML 2023 - Workshop on Spurious Correlations, Invariance and Stability (SCIS), 2023
[ Paper ]
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak
ICML, 2023
Learning Debiased Classifier with Biased Committee
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
NeurIPS, 2022
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection
Nayeong Kim, Suha Kwak
BMVC, 2021
Education
- Ph.D. in Computer Science and Engineering, POSTECH, Feb 2025, advised by Prof. Suha Kwak
- B.S. in Computer Science and Engineering, POSTECH, 2017
Talks
- Debiased Training by Discovering and Mitigating Spurious Correlations
Doctoral Colloquium at Korean Conference on Computer Vision (KCCV), Aug 2024
- Learning Debiased Classifier with Biased Committee
Talk at Korean Artificial Intelligence Association Fall Conference, Nov 2022
Awards
- Qualcomm Innovation Fellowship, 2023
- Samsung Strategy and Innovation Paper Award, 2023
- BK21 Best Paper Award, 2023
Professional service
- Reviewer: NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, AAAI, WACV, ACCV, IJCV