Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. - Yejin Lee 001; Donghyun Lee 005; JungUk Hong; Jae W. Lee; Hongil Yoon (AAAI, 2023)

Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline. - Woohyeon Baek; Jonghyun Bae; Donghyun Lee 005; Hyunwoong Bae; Yeonhong Park; Jae W. Lee (APSys, 2023)

Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation. - Donghyun Lee 005; Yejin Lee 001; Jae W. Lee; Hongil Yoon (ECCV (66), 2024)

FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference. - Seong Hoon Seo; Junghoon Kim; Donghyun Lee 005; Seonah Yoo; Seokwon Moon; Yeonhong Park; Jae W. Lee (HPCA, 2025)

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction. - Donghyun Lee 005; Dawoon Jeong; Jae W. Lee; Hongil Yoon (CoRR, 2025)