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Hoyoung Kim


I am a graduate student in the Graduate School of Artificial Intelligence at POSTECH and a member of the Machine Learning Laboratory, advised by Prof. Jungseul Ok.

My research interest lies in investigating diverse feedback mechanisms in machine learning, spanning from human-annotations to self-improvement, with the goal of the efficient evolution of artificial intelligence.

If you are interested in my research projects, please feel free to contact me via cskhy16@postech.ac.kr.

News

May 2, 2024 A paper about active label correction with foundation models is accepted in ICML 2024.
Feb 26, 2024 I won the BK23 best paper award from POSTECH GSAI.
Sep 22, 2023 A paper about active learning for semantic segmentation is accepted in NeurIPS 2023.
Jul 13, 2023 A paper about active learning for semantic segmentation is accepted in ICCV 2023.
Jul 28, 2022 I won the best paper award at CKAIA 2022.

Education

Oct, 2020 - Present 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. 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
  2. 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
  3. 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
  4. 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

Honors

BK 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

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)