On avoiding Moving Objects for indoor autonomous quadrotors. - Donghyeok Shin; Junwhan Kim; Byunggu Yu; Dong Hyun Jeong (CASE, 2016)

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation. - JoonHo Jang; Byeonghu Na; DongHyeok Shin; Mingi Ji; Kyungwoo Song; Il-Chul Moon (NeurIPS, 2022)

Loss-Curvature Matching for Dataset Selection and Condensation. - Seungjae Shin; HeeSun Bae; DongHyeok Shin; Weonyoung Joo; Il-Chul Moon (AISTATS, 2023)

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. - Suhyeon Jo; DongHyeok Shin; Byeonghu Na; JoonHo Jang; Il-Chul Moon (CIKM, 2023)

Frequency Domain-Based Dataset Distillation. - DongHyeok Shin; Seungjae Shin; Il-Chul Moon (NeurIPS, 2023)

Diffusion Rejection Sampling. - Byeonghu Na; Yeongmin Kim; Minsang Park; DongHyeok Shin; Wanmo Kang; Il-Chul Moon (ICML, 2024)

Autonomous Traffic and Communication Integrated Simulator for V2X Performance Evaluation. - Seungjae Lee; Taesik Nam; Kiwoong Park; Donghyeok Shin; Wonyul Kang; Yongjae Jang; Jeonghwan Kim; Ji-Woong Choi; Jeongho Kwak; Han-Shin Jo (VTC Fall, 2024)

Distilling Dataset into Neural Field. - Donghyeok Shin; HeeSun Bae; Gyuwon Sim; Wanmo Kang; Il-Chul Moon (ICLR, 2025)