Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning. - Junmo Kim 001; Geunbo Yang; Juhyeong Kim; Seungmin Lee; Ko Keun Kim; Cheolsoo Park (Sensors, 2021)

Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning. - Suwhan Baek; Juhyeong Kim; Hyunsoo Yu; Geunbo Yang; Illsoo Sohn; Youngho Cho; Cheolsoo Park (Sensors, 2023)

Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons. - Geunbo Yang; Wongyu Lee; Youjung Seo; Choongseop Lee; Woojoon Seok; Jongkil Park 001; Donggyu Sim; Cheolsoo Park (Sensors, 2023)

Event-based White Blood Cell Classification using Convolutional Spiking Neural Networks. - Youngshin Kang; Geunbo Yang; Cheolsoo Park (MetaCom, 2024)

Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks. - Geunbo Yang; Youngshin Kang; Peter H. Charlton; Panayiotis A. Kyriacou; Ko Keun Kim; Ling Li 010; Cheolsoo Park (Sensors, 2024)

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration. - Choongseop Lee; Geunbo Yang; Jaewoo Baek; Yuntae Park; Mingyu Cheon; Jongkil Park 001; Cheolsoo Park (IEEE Access, 2025)