eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators. - Youngbeom Jung; Yeongjae Choi; Jaehyeong Sim; Lee-Sup Kim (ICCAD, 2019)

High Frequency Current Sensor System using a 4ch CWDM MUX Module and DeMUX ROSA. - Hyun Jin Kim; Dong Hoon Son; Sung Chang Kim; Youngbeom Jung; In-Jin Seo; Hyoung-Jun Park (OFC, 2019)

EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access. - Yunki Han; Kangkyu Park; Youngbeom Jung; Lee-Sup Kim (IEEE Trans. Computers, 2022)

Quantization-Error-Robust Deep Neural Network for Embedded Accelerators. - Youngbeom Jung; Hyeonuk Kim; Yeongjae Choi; Lee-Sup Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Energy-Efficient CNN Personalized Training by Adaptive Data Reformation. - Youngbeom Jung; Hyeonuk Kim; Seungkyu Choi; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

ADC-Free ReRAM-Based In-Situ Accelerator for Energy-Efficient Binary Neural Networks. - Hyeonuk Kim; Youngbeom Jung; Lee-Sup Kim (IEEE Trans. Computers, 2024)