Memristor-Based Security Primitives Robust to Malicious Attacks for Highly Secure Neuromorphic Systems. - Jungyeop Oh; Sungkyu Kim; Junhwan Choi; Jun-Hwe Cha; Sung Gap Im; Byung Chul Jang; Sung-Yool Choi (Adv. Intell. Syst., 2022)

Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition. - Sungkyu Kim; Tae-Seong Kim 001; Won Hee Lee (Sensors, 2022)

Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring. - Sungkyu Kim; Marco Comuzzi; Chiara Di Francescomarino (ICPM Workshops, 2023)

On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring. - Marco Comuzzi; Sungkyu Kim; Jonghyeon Ko; Musa Salamov; Cinzia Cappiello; Barbara Pernici (ICPM Workshops, 2024)

LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference. - Jae-Youn Hong; Sungkyu Kim; Je-Woo Jang; Joon-Sung Yang (ISLPED, 2024)

Reducing Errors and Powers in LPDDR for DNN Inference: A Compression and IECC-Based Approach. - Jae-Youn Hong; Je-Woo Jang; Sung-Hyuk Cho; Youngbae Kong; Sungkyu Kim; Youngjung Kang; Jaehyung Ko; Jaeyong Chung; Joon-Sung Yang (J. Syst. Archit., 2025)

CNN-based TEM image denoising from first principles. - Jinwoong Chae; Sungwook Hong; Sungkyu Kim; Sungroh Yoon; Gunn Kim (CoRR, 2025)