Scholar
Hoyoung Kim
Google Scholar ID: tuVPLyIAAAAJ
POSTECH
Citations & Impact
Citations
33
H-index
3
i10-index
2
Publications
7
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Active Prompt Learning with Vision-Language Model Priors (TMLR 2025)
- - Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs (EMNLP 2025 Findings)
- - Enhancing Cost Efficiency in Active Learning with Candidate Set Query (TMLR 2025)
- - Active Label Correction for Semantic Segmentation with Foundation Models (ICML 2024)
- - Active Learning for Semantic Segmentation with Multi-class Label Query (NeurIPS 2023)
- - Adaptive Superpixel for Active Learning in Semantic Segmentation (ICCV 2023)
- - Robust Deep Learning from Crowds with Belief Propagation (AISTATS 2022)
- - Honors and Awards:
- - CVPR Outstanding Reviewer (2025)
- - BK21 Excellence Paper Award, POSTECH GSAI (2024)
- - BK21 Best Paper Award, POSTECH GSAI (2023)
- - CKAIA Best Paper Award (2022)
Research Experience
- - Reviewer Experience: CVPR (2025), NeurIPS (2025), ICLR (2025), ICCV (2025), WACV (2026), IJCV Journal
- - Intern & Education: Nomad Connection (Summer 2017), Samsung Electronics (Summer 2018), Seoul National University Exchange Student (Winter 2019), SK Hynix (Winter 2020), I-Corps (Fall 2020)
- - Teaching Assistant: CSED515 Machine Learning (Fall 2021, Fall 2022), CSED273 Digital System Design (Spring 2023), Hyundai Steel (Jan 2022), POSCO (Aug 2023)
Education
- - Oct, 2020 - Present: Pohang University of Science and Technology (POSTECH), 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), B.S. in Computer Science and Engineering
Background
- - Research Interest: Investigating diverse feedback mechanisms in machine learning, from human-annotations to self-improvement, with the goal of efficient evolution of artificial intelligence.
- - Affiliation: Machine Learning Laboratory, Graduate School of Artificial Intelligence, POSTECH
- - Advisor: Prof. Jungseul Ok
Miscellany
- - Contact Email: cskhy16@postech.ac.kr
