Nayeong Kim

I am an AI Algorithm Engineer at Huawei Singapore Research Center, working with Prof. Hanwang Zhang. I received my Ph.D degree in computer science and engineering department at POSTECH, advised by Prof. Suha Kwak. My long-term research goal is to work 'Toward ensuring the trustworthiness of AI models.' During my pursuit of a Ph.D., I aim to address the pressing issue of combating spurious correlations that undermine the integrity of AI models in real-world applications. Previously, I received a B.S. in computer science and engineering department from POSTECH in 2017.

Experience

Visiting Researcher, University of Tübingen, Host: Prof. Seong Joon Oh Mar. 2024 - May. 2024
Research Intern, Samsung Electronics, Jan. 2018 - Feb. 2018
Research Intern, Exem, Mar. 2017 - Sep. 2017

Publications

DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
Sohyun Lee
Nayeong Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
Arxiv, 2025
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paper
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GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
Nayeong Kim
Seong Joon Oh
Suha Kwak
In submission, 2025
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paper
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MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang
Nayeong Kim
Jungseul Ok
Suha Kwak
ECCV, 2024
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paper
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Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim
Juwon Kang
Sungsoo Ahn
Jungseul Ok
Suha Kwak
ICML, 2024
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paper
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code
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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)
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paper
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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)
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paper
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Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang
Nayeong Kim
Donghyeon Kwon
Jungseul Ok
Suha Kwak
ICML, 2023
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paper
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code
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project
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Learning Debiased Classifier with Biased Committee
Nayeong Kim
Sehyun Hwang
Sungsoo Ahn
Jaesik Park
Suha Kwak
NeurIPS, 2022
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code
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Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection
Nayeong Kim
Suha Kwak
BMVC, 2021
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project
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Awards

Qualcomm Innovation Fellowship Winner , Qualcomm Korea Corp., “Leveraging Proxy of Training Data for Test-Time Adaptation” (2023).
Samsung Strategy and Innovation Paper Award, “Leveraging Proxy of Training Data for Test-Time Adaptation” (2023).
BK21 Best Paper Award from POSTECH CSE, “Learning Debiased Classifier with Biased Committee” (2023).

Talks

Doctoral Colloquium: “Debiased Training by Discovering and Mitigating Spurious Correlations”, Korean Conference on Computer Vision (KCCV), Aug. 2024
“Learning Debiased Classifier with Biased Committee”, Korean Artificial Intelligence Association Fall conference, NAVER and KAIA, Nov. 2022

Services

Reviewer in NeurIPS (2023, 2024), ICLR (2024, 2025), Tiny Papers@ICLR (2023, 2024), AAAI (2024, 2025), CVPR(2024, 2025), ECCV (2024), WACV (2024, 2025), ACCV (2024), ICCV (2023, 2025), ICML (2022, 2025), IJCV (2024)