Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. - Yoojung Lee; Hyein Kim; Taesung Park; Mira Park 002 (BIBM, 2017)

Rank-1 Convolutional Neural Network. - Hyein Kim; Jungho Yoon; Byeongseon Jeong; Sukho Lee (CoRR, 2018)

Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. - You-Jung Lee; Hyein Kim; Taesung Park; Mira Park 002 (Int. J. Data Min. Bioinform., 2018)

Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis. - Dongil Kim; Jeongin Koo; Hyein Kim; Seokho Kang 001; Sang-Hyun Lee; Jeong-Tae Kang (Int. J. Distributed Sens. Networks, 2019)

A 0.4-VIN, External-Capacitor-Free, Adaptive-Biased LDO with Look-Ahead Droop Reduction for Wake-up Features in Edge Devices. - Hee-Cheol Joo; Hyein Kim; Young-Ha Hwang (ISOCC, 2023)

Deep learning-based cutting force prediction for machining process using monitoring data. - Soomin Lee; Wonkeun Jo; Hyein Kim; Jeongin Koo; Dongil Kim (Pattern Anal. Appl., 2023)

Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms. - Jiyi Jang; Ather Abbas; Hyein Kim; Chaeyoung Rhee; Seung Gu Shin; Jong Ahn Chun; Sangsoo Baek; Kyung Hwa Cho (Ecol. Informatics, 2023)

Estimation of Shape Error with Monitoring Signals. - Hyein Kim; Soohyun Nam; Eunseok Nam (Sensors, 2023)