Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance. - Seungcheol Park; Shuyu Wang; Hunjung Lim; U Kang (IROS, 2019)

How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains. - Seungcheol Park; Huiwen Xu; Taehun Kim; Inhwan Hwang; Kyung-Jun Kim; U Kang (CoRR, 2019)

Knowledge-preserving Pruning for Pre-trained Language Models without Retraining. - Seungcheol Park; Hojun Choi; U Kang (CoRR, 2023)

Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models. - Seungcheol Park; Hojun Choi; U Kang (ICLR, 2024)

A Comprehensive Survey of Compression Algorithms for Language Models. - Seungcheol Park; Jaehyeon Choi; Sojin Lee; U Kang (CoRR, 2024)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. - Seungcheol Park; Jeongin Bae; Beomseok Kwon; Minjun Kim 010; Byeongwook Kim; Se Jung Kwon; U Kang; Dongsoo Lee (ACL (1), 2025)

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. - Seungcheol Park; Sojin Lee; Jongjin Kim 001; Jinsik Lee; Hyunjik Jo; U Kang (CoRR, 2025)