| International Journal Papers |
| Hyeonuk Kim, Youngbeom Jung, Lee-Sup Kim |
| ADC-Free ReRAM-based In-Situ Accelerator for Energy-Efficient Binary Neural Networks |
| IEEE Transactions on Computers, 2024 |
| |
| Youngbeom Jung, Hyeonuk Kim, Seungkyu Choi, Jaekang Shin, Lee-Sup Kim |
| Energy-Efficient CNN Personalized Training by Adaptive Data Reformation |
| IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 |
| |
| Yunki Han, Kangkyu Park, Youngbeom Jung, Lee-Sup Kim |
| EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access |
| IEEE Transactions on Computers, 2022 |
| |
| Youngbeom Jung, Hyeonuk Kim, Yeongjae Choi, Lee-Sup Kim |
| Quantization-Error-Robust Deep Neural Network for Embedded Accelerators |
| IEEE Transactions on Circuits and Systems II, 2022 |
| |
| International Conference Papers |
| Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim |
| eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators |
| IEEE/ACM International Conference On Computer Aided Design, 2019 |
| |
