InGaAs/Si Heterojunction Tunneling Field-Effect Transistor on Silicon Substrate. - Sung Yun Woo; Young Jun Yoon; Jae Hwa Seo; Gwan Min Yoo; Seongjae Cho; In Man Kang (IEICE Trans. Electron., 2014)

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)

A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices. - Won-Mook Kang; Chul-Heung Kim; Soochang Lee; Sung Yun Woo; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IJCNN, 2019)

Low-Power Binary Neuron Circuit With Adjustable Threshold for Binary Neural Networks Using NAND Flash Memory. - Sung-Tae Lee; Sung Yun Woo; Jong-Ho Lee 002 (IEEE Access, 2020)

Low-Power and High-Density Neuron Device for Simultaneous Processing of Excitatory and Inhibitory Signals in Neuromorphic Systems. - Sung Yun Woo; Dongseok Kwon; Nagyong Choi; Won-Mook Kang; Young-Tak Seo; Min Kyu Park; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2020)

Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding. - Seongbin Oh; Dongseok Kwon; Gyuho Yeom; Won-Mook Kang; Soochang Lee; Sung Yun Woo; Jangsaeng Kim; Min Kyu Park; Jong-Ho Lee 002 (CoRR, 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)

Spiking Neural Networks With Time-to-First-Spike Coding Using TFT-Type Synaptic Device Model. - Seongbin Oh; Soochang Lee; Sung Yun Woo; Dongseok Kwon; Jiseong Im; Joon Hwang; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2021)

Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device. - Sung Yun Woo; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002; Jong-Ho Bae (CoRR, 2021)

Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality. - Jangsaeng Kim; Dongseok Kwon; Sung Yun Woo; Won-Mook Kang; Soochang Lee; Seongbin Oh; Chul-Heung Kim; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (Neurocomputing, 2021)

On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm. - Jangsaeng Kim; Dongseok Kwon; Sung Yun Woo; Won-Mook Kang; Soochang Lee; Seongbin Oh; Chul-Heung Kim; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (Neural Comput. Appl., 2021)

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding. - Seongbin Oh; Dongseok Kwon; Gyuho Yeom; Won-Mook Kang; Soochang Lee; Sung Yun Woo; Jaehyeon Kim; Jong-Ho Lee 002 (IEEE Access, 2022)

Si-Based Dual-Gate Field-Effect Transistor Array for Low-Power On-Chip Trainable Hardware Neural Networks. - Kyu-Ho Lee; Dongseok Kwon; In-Seok Lee; Joon Hwang; Jiseong Im; Jong-Ho Bae; Woo Young Choi; Sung Yun Woo; Jong-Ho Lee 002 (Adv. Intell. Syst., 2024)

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)