Memory Access Driven Memory Layout and Block Replacement Techniques for Compressed Deep Neural Networks. - Byungmin Ahn; Taewhan Kim (SoCC, 2018)

Deeper Weight Pruning without Accuracy Loss in Deep Neural Networks. - Byungmin Ahn; Taewhan Kim (DATE, 2020)

Common Kernels and Convolutions in Binary- and Ternary-Weight Neural Networks. - Byungmin Ahn; Taewhan Kim 001 (J. Circuits Syst. Comput., 2021)

AI Accelerator Embedded Computational Storage for Large-Scale DNN Models. - Byungmin Ahn; Jaehun Jang; Hanbyeul Na; Mankeun Seo; Hongrak Son; Yong Ho Song (AICAS, 2022)

Low Power Decoder Architecture of Product Code for Storage Controller. - Sumin Kim; Byungmin Ahn; Bohwan Jun; Mankeun Seo; Hongrak Son; Yong Ho Song (ISOCC, 2022)

Deeper Weight Pruning Without Accuracy Loss in Deep Neural Networks: Signed-Digit Representation-Based Approach. - Byungmin Ahn; Taewhan Kim 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Lightweight Error Correction for In-Storage Acceleration of Large Language Model Inference. - Jinwoo Jeong; Byungmin Ahn; Dongmin Shin; Jungwook Choi (ICEIC, 2024)