Last block logging mechanism for improving performance and lifetime on SCM-based file system. - Seho Lee; Junghoon Kim; Minho Lee; Hyunku Lee; Young Ik Eom (ICUIMC, 2014)

FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access. - Pavan Kumar Chundi; Peiye Liu; Sangsu Park; Seho Lee; Mingoo Seok (ISLPED, 2019)

Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation. - Young-Tak Kim; Seho Lee; Hakseung Kim; Seung-Bo Lee; Seong-Whan Lee; Dong-Joo Kim (SMC, 2019)

Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature. - Seung-Bo Lee; Hakseung Kim; Seho Lee; Hyun-Ji Kim; Seong-Whan Lee; Dong-Joo Kim (SMC, 2019)

Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach. - Seho Lee; Young-Tak Kim; Seung-Ouk Hwang; Hakseung Kim; Dong-Joo Kim (BCI, 2020)

Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification. - Seho Lee; Choel-Hui Lee; Hakseung Kim; Dong-Joo Kim (SMC, 2020)

Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface. - Min-Kyung Jung; Seho Lee; In-Nea Wang; Ha Yoon Song; Hakseung Kim; Dong-Joo Kim (BCI, 2021)

Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification. - Joung-Woo Hyung; Seho Lee; Hakseung Kim; Dong-Joo Kim (BCI, 2022)

Memory Window Expansion for Ferroelectric FET based Multilevel NVM: Hybrid Solution with Combination of Polarization and Injected Charges. - Jae-Gil Lee; Joongsik Kim; Dong Ik Suh; Ildo Kim; Gwon Deok Han; Seung Wook Ryu; Seho Lee; Myung-Hee Na; Seonyong Cha; Hyeon Woo Park; Cheol Seong Hwang (IMW, 2022)

Recognition Accuracy Enhancement using Interface Control with Weight Variation-Lowering in Analog Computation-in-Memory. - Sangsu Park; Gyonhui Lee; Youngjae Kwon; Dong Ik Suh; Hanwool Lee; Sangeun Je; Dabin Kim; Dohan Lee; Seungwook Ryu; Seungbum Kim; Euiseok Kim; Sunghoon Lee; et al. (IMW, 2022)

Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG. - Min-Kyung Jung; Hakseung Kim; Seho Lee; Jung-Bin Kim; Dong-Joo Kim (BCI, 2023)

Benchmarking applicability of medium-resolution cryo-EM protein structures for structure-based drug design. - Seho Lee; Chaok Seok; Hahnbeom Park (J. Comput. Chem., 2023)

Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients. - Seho Lee; Hakseung Kim; Jung-Bin Kim; Dong-Joo Kim (Comput. Biol. Medicine, 2023)

Realistic Noise-aware Training as a Component of the Holistic ACiM Development Platform. - Jihun Kim; Sangsu Park; Hongju Suh; Youngjae Kwon; Seonghun Lee; Yubin Lee; Kayoung Kim; Eungu Han; Jongil Kim; Kyu Sung Kim; Hyejung Choi; Seungwook Ryu; et al. (IMW, 2024)

Modeling and Demonstration for Multi-level Weight Conductance in Computational FeFET Memory Cell. - Won-Tae Koo; Jae-Gil Lee; Gunhee Lee; Woocheol Lee; Jungwook Woo; Dong Ik Suh; Joongsik Kim; Hyung Dong Lee; Seho Lee; Jaeyun Yi; Seonyong Cha (IMW, 2024)

Improvement of MAC Accuracy using Oxygen Diffusion Barriers in Resistive Synaptic Cell Arrays. - Youngjae Kwon; Won-Tae Koo; Sangsu Park; Dong Ik Suh; Gunhee Lee; Hyung Dong Lee; Youngbae Ahn; Dohee Kim; Seungwook Ryu; Hoseok Em; Seokjoon Kang; Chang Won Jeong; et al. (IMW, 2024)