Universal Time-Series Representation Learning: A Survey - Patara Trirat; Yooju Shin; Junhyeok Kang; Youngeun Nam; Jihye Na; Minyoung Bae; Joeun Kim; Byunghyun Kim; Jae-Gil Lee (CoRR, 2024)

Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting - Byunghyun Kim; Jae-Gil Lee (CoRR, 2024)

Context Consistency Regularization for Label Sparsity in Time Series - Yooju Shin; Susik Yoon; Hwanjun Song; Dongmin Park; Byunghyun Kim; Jae-Gil Lee; Byung Suk Lee (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Global Convolutional Neural Networks With Self-Attention for Fisheye Image Rectification - Byunghyun Kim; Dohyun Lee; Kyeong-Yuk Min; Jongwha Chong; Inwhee Joe (IEEE Access, 2022)

Semantic Dietary Personalization for Chronic Disease Management - Changhyub Woo; Byunghyun Kim; Jaehun Lee; Buhwan Jeong; Jinwoo Song; Carlo Allocca; Rohit Ail (IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, 2022)

Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot - Keunyoung Jang; Yun-Kyu An; Byunghyun Kim; Soojin Cho (Comput. Aided Civ. Infrastructure Eng., 2021)

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique - Byunghyun Kim; Soojin Cho (Sensors, 2018)