NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping. - Jae Hyung Ju; Jaiyoung Park; Jongmin Kim 007; Donghwan Kim; Jung Ho Ahn (CoRR, 2023)

NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping. - Jae Hyung Ju; Jaiyoung Park; Jongmin Kim 007; Minsik Kang; Donghwan Kim; Jung Hee Cheon; Jung Ho Ahn (CCS, 2024)

A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. - Changmin Shin; Taehee Kwon 002; Jaeyong Song; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee (IEEE Comput. Archit. Lett., 2024)

Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. - Changmin Shin; Jaeyong Song; Hongsun Jang; Dogeun Kim; Jun Sung; Taehee Kwon 002; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee (HPCA, 2025)