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Nayeong Kim

I am a Ph.D candidate in computer science and engineering department at POSTECH, advised by 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. I am a member of Computer Vision Lab at POSTECH. Previously, I received a B.S. in computer science and engineering department from POSTECH in 2017.

Experience

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

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), ECCV (2024), WACV (2024, 2025), ACCV (2024), ICCV (2023), ICML (2022)