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Hoyoung Kim


I am a postdoctoral researcher in the National AI Research Lab. at KAIST, working with Prof. Jungseul Ok. Previously, I received my Ph.D. in 2026 from the Graduate School of Artificial Intelligence at POSTECH, where I was a member of the Machine Learning Laboratory and was advised by Prof. Jungseul Ok.

My research interests lie in efficient feedback mechanisms, including human feedback such as preferences and AI-generated feedback for self-improvement, with the ultimate goal of advancing artificial intelligence more efficiently.

If you are interested in my research, please feel free to contact me via cskhy16g@gmail.com.

News

May 1, 2026 Two papers are accepted in ICML 2026.
Feb 21, 2026 A paper about synthetic datasets for vision-language models is accepted in CVPR 2026.
Oct 3, 2025 A paper about active prompt learning is accepted in TMLR 2025.
Aug 21, 2025 A paper about latent semantic clustering is accepted in EMNLP 2025 (Findings).
Jul 22, 2025 A paper about active learning with candidate set query is accepted in TMLR.

Education

Oct, 2020 - Feb, 2026 Pohang University of Science and Technology (POSTECH), Pohang, South Korea
Integrated M.S./Ph.D. in Graduate School of Artificial Intelligence
Advisor: Prof. Jungseul Ok
Mar, 2016 - Aug, 2020 Pohang University of Science and Technology (POSTECH), Pohang, South Korea
B.S in Computer Science and Engineering

Publications

  1. Making Models Unmergeable via Scaling-Sensitive Loss Landscape
    Minwoo Jang,  Hoyoung Kim, Jabin Koo, and Jungseul Ok
    International Conference on Machine Learning (ICML) , 2026
  2. Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
    Jabin Koo,  Hoyoung Kim, Minwoo Jang, and Jungseul Ok
    International Conference on Machine Learning (ICML) , 2026
  3. AdaBoosting Text Prompts for Vision-Language Models
    Seokhee Jin, Changhwan Sung, Sunung Mun,  Hoyoung Kim, and Jungseul Ok
    arXiv , 2026
  4. ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets
    Hoyoung Kim, Minwoo Jang, Jabin Koo, Sangdoo Yun, and Jungseul Ok
    Computer Vision and Pattern Recognition (CVPR) , 2026
  5. Active Prompt Learning with Vision-Language Model Priors
    Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, and Jungseul Ok
    Transactions on Machine Learning Research (TMLR) , 2025
    arXiv
  6. Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
    Sungjae Lee,  Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, and Jungseul Ok
    Empirical Methods in Natural Language Processing (EMNLP) , 2025 (Findings)
    arXiv
  7. Enhancing Cost Efficiency in Active Learning with Candidate Set Query
    Yeho Gwon, Sehyun Hwang,  Hoyoung Kim, Jungseul Ok, and Suha Kwak
    Transactions on Machine Learning Research (TMLR) , 2025
    arXiv
  8. Active Label Correction for Semantic Segmentation with Foundation Models
    Hoyoung Kim, Sehyun Hwang, Suha Kwak, Suha Kwak, and Jungseul Ok
    International Conference on Machine Learning (ICML) , 2024
    arXiv Code Project page
  9. Active Learning for Semantic Segmentation with Multi-class Label Query
    Sehyun Hwang, Sohyun Lee,  Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak
    Neural Information Processing Systems (NeurIPS) , 2023
    arXiv Code Poster
  10. Adaptive Superpixel for Active Learning in Semantic Segmentation
    Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, and Jungseul Ok
    International Conference on Computer Vision (ICCV) , 2023
    arXiv Code Poster
  11. Robust Deep Learning from Crowds with Belief Propagation
    Hoyoung Kim*, Seunghyuk Cho*, Dongwoo Kim, and Jungseul Ok
    International Conference on Artificial Intelligence and Statistics (AISTATS) , 2022
    arXiv Code Poster

Honors

CVPR Outstanding Reviewer (2025)
BK21 Excellence Paper Award, POSTECH GSAI (2024)
  • Active Label Correction for Semantic Segmentation with Foundation Models (ICML24)
BK21 Best Paper Award, POSTECH GSAI (2023)
  • Adaptive superpixel for active learning in semantic segmentation (ICCV23)
CKAIA Best Paper Award (2022)
  • Fast Personalized Pruning in Federated Learning (CKAIA22)

Experience

Reviewer
  • Conference on Computer Vision and Pattern Recognition (CVPR): 25, 26
  • International Conference on Machine Learning (ICML): 26
  • Neural Information Processing Systems (NeurIPS): 25
  • International Conference on Learning Representations (ICLR): 25
  • International Conference on Computer Vision (ICCV): 25
  • Winter Conference on Applications of Computer Vision (WACV): 26
  • International Journal of Computer Vision (IJCV)
  • Transactions on Machine Learning Research (TMLR)
Intern & Education
  • Nomad Connection (2017 Summer)
  • Samsung Electronics (2018 Summer)
  • Seoul National University Exchange Student (2019 Winter)
  • SK Hynix (2020 Winter)
  • I-Corps (2020 Fall)
Teaching Assistant
  • CSED515 Machine Learning (2021 Fall, 2022 Fall)
  • CSED273 Digital System Design (2023 Spring)
  • Hyundai Steel (Jan, 2022)
  • POSCO (Aug, 2023)