Biosignal Compression Toolbox for Digital Biomarker Discovery. - Brinnae Bent; Baiying Lu; Juseong Kim; Jessilyn Dunn (Sensors, 2021)

Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data. - Minwook Kim; Juseong Kim; José Bento 001; Giltae Song (CoRR, 2023)

CAST: Cluster-Aware Self-Training for Tabular Data. - Minwook Kim; Juseong Kim; Kibeom Kim; Donggil Kang; Giltae Song (CoRR, 2023)

AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encoders. - Incheol Shin; Keumseok Kang; Juseong Kim; Sanghun Sel; Jeonghoon Choi; Jae-Wook Lee; Ho-Young Kang; Giltae Song (BMC Bioinform., 2023)

Therapeutic gene target prediction using novel deep hypergraph representation learning. - Kibeom Kim; Juseong Kim; Minwook Kim; Hyewon Lee; Giltae Song (Briefings Bioinform., 2024)

Noise-Resistant Sound Source Localization Based on Filter Banks in Disaster Scenarios. - Jungyu Choi; Eojin Kim; Juseong Kim; Joonhwi Kim; Sungbin Im (ICEIC, 2025)

Robust Sound Source Localization Using CDR-Based Masking and CNN-Enhanced GCC-PRAT in Reverberant Environments. - Eojin Kim; Juseong Kim; Jungyu Choi; Joonhwi Kim; Sungbin Im (ICEIC, 2025)

Visual Similarity Assessment for Product Aesthetic Properties Using Single Reference Training. - Seok Young Hwang; Juseong Kim; Kicheol Pak (IEEE Access, 2025)

Data from the All of Us research program reinforces existence of activity inequality. - Hayoung Jeong; Ali R. Roghanizad; Hiral Master; Juseong Kim; Aymone Kouame; Paul A. Harris; Melissa A. Basford; Kayla Marginean; Jessilyn Dunn (npj Digit. Medicine, 2025)