Youngbeom Jung

According to our database, Youngbeom Jung authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

ADC-Free ReRAM-Based In-Situ Accelerator for Energy-Efficient Binary Neural Networks.

Hyeonuk Kim, Youngbeom Jung, Lee-Sup Kim

IEEE Trans. Computers, February, 2024

2023

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

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

EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access.

Yunki Han, Kangkyu Park, Youngbeom Jung, Lee-Sup Kim

IEEE Trans. Computers, 2022

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

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators.

Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim

Proceedings of the International Conference on Computer-Aided Design, 2019