NAND Flash Based Novel Synaptic Architecture for Highly Robust and High-Density Quantized Neural Networks With Binary Neuron Activation of (1, 0). - Sung-Tae Lee; Dongseok Kwon; Hyeongsu Kim; Honam Yoo; Jong-Ho Lee 002 (IEEE Access, 2020)

Hardware-Based Spiking Neural Network Using a TFT-Type AND Flash Memory Array Architecture Based on Direct Feedback Alignment. - Won-Mook Kang; Dongseok Kwon; Sung Yun Woo; Soochang Lee; Honam Yoo; Jangsaeng Kim; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2021)

3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit. - Hunjun Lee; Minseop Kim; Dongmoon Min; Joonsung Kim; Jongwon Back; Honam Yoo; Jong-Ho Lee 002; Jangwoo Kim (MICRO, 2022)

First Demonstration of 1-bit Erase in Vertical NAND Flash Memory. - Honam Yoo; Jong-Won Back; Nam-Hun Kim; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002 (VLSI Technology and Circuits, 2022)

On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding. - Jiseong Im; Jaehyeon Kim; Honam Yoo; Jong-Won Baek; Dongseok Kwon; Seongbin Oh; Jangsaeng Kim; Joon Hwang; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2022)

Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks. - Sung-Tae Lee; Hyeongsu Kim; Honam Yoo; Dongseok Kwon; Jong-Ho Lee 002 (Neurocomputing, 2022)