Optimizations of Scatter Network for Sparse CNN Accelerators. - Sunwoo Kim 002; Chungman Lee; Haesung Park; Jooho Wang; Sungkyung Park 001; Chester Sungchung Park (AICAS, 2019)

Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. - Yongkweon Jeon; Chungman Lee; Eulrang Cho; Yeonju Ro (CVPR, 2022)

Genie: Show Me the Data for Quantization. - Yongkweon Jeon; Chungman Lee; Ho-Young Kim (CVPR, 2023)

A Frustratingly Easy Post-Training Quantization Scheme for LLMs. - Yongkweon Jeon; Chungman Lee; Kyungphil Park; Ho-Young Kim (EMNLP, 2023)

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. - Junhan Kim; Chungman Lee; Eulrang Cho; Kyungphil Park; Ho-Young Kim; Joonyoung Kim; Yongkweon Jeon (NeurIPS, 2024)

Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers. - Junhan Kim; Kyungphil Park; Chungman Lee; Ho-Young Kim; Joonyoung Kim; Yongkweon Jeon (CoRR, 2024)

Attention-aware Post-training Quantization without Backpropagation. - Junhan Kim; Ho-Young Kim; Eulrang Cho; Chungman Lee; Joonyoung Kim; Yongkweon Jeon (CoRR, 2024)