Improving Hardware Efficiency of a Sparse Training Accelerator by Restructuring a Reduction Network. - Banseok Shin; Sehun Park; Jaeha Kung (NEWCAS, 2023)

All-rounder: A flexible DNN accelerator with diverse data format support. - Seock-Hwan Noh; Seungpyo Lee; Banseok Shin; Sehun Park; Yongjoo Jang; Jaeha Kung (CoRR, 2023)

FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. - Seock-Hwan Noh; Banseok Shin; Jeik Choi; Seungpyo Lee; Jaeha Kung; Yeseong Kim (ISCA, 2025)

All-Rounder: A Flexible AI Accelerator With Diverse Data Format Support and Morphable Structure for Multi-DNN Processing. - Seock-Hwan Noh; Seungpyo Lee; Banseok Shin; Sehun Park; Yongjoo Jang; Jaeha Kung (IEEE Trans. Very Large Scale Integr. Syst., 2025)