Changhyeon Kim

UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

Jinmook Lee, Changhyeon Kim, Sanghoon Kang et al. · IEEE Journal of Solid-State Circuits · 2018 · 321 citations

Engineering, Machine Learning, Hardware Acceleration +12

UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision

Jinmook Lee, Changhyeon Kim, Sanghoon Kang et al. · 2018 · 304 citations

Convolutional Neural Network, Engineering, Machine Learning +19

14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector

Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim et al. · 2017 · 129 citations

Wearable System, Convolutional Neural Network, Fr System +18

A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector

Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim et al. · IEEE Journal of Solid-State Circuits · 2017 · 108 citations

Smart Devices, Convolutional Neural Network, Cnn Processor +21

Morphology and hydrolysis of PCL/PLLA blends compatibilized with P(LLA‐<i>co</i>‐ϵCL) or P(LLA‐<i>b</i>‐ϵCL)

Nam‐Soon Choi, Changhyeon Kim, Kuk Young Cho et al. · Journal of Applied Polymer Science · 2002 · 97 citations

Engineering, Plla/pcl Blend Films, Chemistry +17