| 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 |
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| 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 |
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| Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim |
| S-FLASH: A NAND Flash-based Deep Neural Network Accelerator Exploiting Bit-level Sparsity |
| IEEE Transactions on Computers, 2022 |
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| 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 |
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| Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim |
| An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices |
| IEEE Journal of Solid-State Circuits, 2020 |
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| International Conference Papers |
| Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim |
| A 47.4uJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices |
| IEEE Asian Solid-State Circuits Conference, 2019 |
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| Hyeonwook Wi, Hyeonuk Kim, Seungkyu Choi, Lee-Sup Kim |
| Compressing Sparse Ternary Weight Convolutional Neural Networks for Efficient Hardware Acceleration |
| ACM/IEEE International Symposium on Low Power Electronics and Design, 2019 |
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| Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim |
| NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks |
| IEEE International Symposium on High-Performance Computer Architecture, 2019 |
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| Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim |
| A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks |
| ACM/IEEE Design Automation Conference, 2017 |
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