Personal Information
Hyeonuk Kim
emailhukim at mvlsi.kaist.ac.kr
phone042-350-8060
research interests
International Journal Papers
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
 
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
 
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
 
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
 
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