Members

Member

Donghyeok SHIN

PhD Students

Applied Artificial Intelligence Laboratory Industrial and Systems Engineering, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 305-338, Republic of Korea

KAIST E2-2, 4116

tlsehdgur0@kaist.ac.kr

https://sdh0818.github.io/

Research Interest

  • Machine learning
  • Dataset Distillation, Coreset Selection
  • Knowledge Distillation

Education

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (Mar. 2022 ~ )

  • Doctoral Degree Program in Industrial and Systems Engineering, AAILab
  • Academic Advisor: Professor Il-Chul Moon

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (Mar. 2020 - Feb. 2022)

  • Master's Degree Program in Industrial and Systems Engineering, AAILab
  • Academic Advisor: Professor Il-Chul Moon

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (Mar. 2015 - Feb. 2020)

  • Bachelor of Science in Mathematical Sciences
    • Double Major in Industrial and Systems Engineering

Publication

    International Conference

  • Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, and Il-Chul Moon, Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models, The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, Dec 2-7, 2025.
  • Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, and Il-Chul Moon, Distilling Dataset into Neural Field, The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025.
  • Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, and Il-Chul Moon, Diffusion Rejection Sampling, International Conference on Machine Learning (ICML 2024), Vienna, Austria, Jul 21-27, 2024.
  • Donghyeok Shin*, Seungjae Shin*, Il-Chul Moon, Frequency Domain-based Dataset Distillation, Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec 10-Dec 16, 2023
  • Suhyeon Jo, Donghyeok Shin, Byeonghu Na, JoonHo Jang, and Il-Chul Moon, Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy, ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, United Kingdom, Oct. 21-25, 2023
  • Seungjae Shin*, Heesun Bae*, Donghyeok Shin, Weonyoung Joo, Il-Chul Moon, Loss Curvature Matching for Dataset Selection and Condensation, International Conference on Artificial Intelligence and Statistics (AISTATS 23), Valencia, Spain, Apr 25-27, 2023
  • JoonHo Jang, Byeonghu Na, Donghyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon, Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation, Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, Nov 28-Dec 9, 2022

    Domestic Conference

  • 신승재, 나병후, 신동혁, 나영연, 문일철 (2017. 12) 인공 신경망 기반 뉴스기사의 토픽 분석 및 문서 분류 동시 수행 모델 개발, 한국정보과학회

Award

  • Winner, Qualcomm Innovation Fellowship Korea 2025 (QIFK 2025)
  • Top Reviewer, NeurIPS 2025
  • 학부생부문 최우수상, KSC2017 학부생 논문경진대회, 2017