Developing Collaborative Virtual Learning Community for the Korean Community Health Practitioners. - Woojin Paik; Eunjung Ryu; Jaewook Choi; Hyeongsu Kim; Eunmi Ham (EC-TEL, 2006)

Fail-Safe Control Strategy of Traction Motor in Electric Mobility with Sensorless Control Scheme. - Ilhan Kim; Hyeongsu Kim; Taesuk Kwon; Hyeoundong Lee (VTC Spring, 2012)

Review of candidate devices for neuromorphic applications. - Jong-Ho Lee 002; Yoohyun Noh; Hyeongsu Kim; Jangsaeng Kim; Jong-Ho Bae; Sung Yun Woo; Sungtae Lee; Suhwan Lim; Won-Mook Kang; Young-Tak Seo; Soochang Lee; Dongseok Kwon; et al. (ESSDERC, 2019)

Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes. - Suhwan Lim; Dongseok Kwon; Sungtae Lee; Hyeongsu Kim; Jong-Ho Bae; Jong-Ho Lee 002 (IJCNN, 2019)

Accurate identification of gas type and concentration using DNN reflecting the sensing properties of MOSFET-type gas sensor. - Gyuweon Jung; Hyeongsu Kim; Yujeong Jeong; Yoonki Hong; Meile Wu; Seongbin Hong; Wonjun Shin; Dongkyu Jang; Jong-Ho Lee 002 (ISOEN, 2019)

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)

Efficient precise weight tuning protocol considering variation of the synaptic devices and target accuracy. - Hyeongsu Kim; Jong-Ho Bae; Suhwan Lim; Sungtae Lee; Young-Tak Seo; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002 (Neurocomputing, 2020)

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)

Efficient Hybrid Training Method for Neuromorphic Hardware Using Analog Nonvolatile Memory. - Dongseok Kwon; Sung Yun Woo; Joon Hwang; Hyeongsu Kim; Jong-Ho Bae; Wonjun Shin; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)