CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. - Bong Gyun Kang; HyunGi Kim; Dahuin Jung; Sungroh Yoon (NeurIPS, 2023)

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting. - Bong Gyun Kang; Dongjun Lee; HyunGi Kim; Dohyun Chung; Sungroh Yoon (NeurIPS, 2024)

Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting. - Bong Gyun Kang; Dongjun Lee; HyunGi Kim; Dohyun Chung (CoRR, 2024)

A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges. - Jongseon Kim; Hyungjoon Kim; HyunGi Kim; Dongjun Lee; Sungroh Yoon (CoRR, 2024)

Contrastive Time-Series Anomaly Detection. - HyunGi Kim; Siwon Kim; Seonwoo Min; Byunghan Lee (IEEE Trans. Knowl. Data Eng., 2024)

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. - HyunGi Kim; Siwon Kim; Jisoo Mok; Sungroh Yoon (AAAI, 2025)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. - HyunGi Kim; Jisoo Mok; Dongjun Lee; Jaihyun Lew; Sungjae Kim; Sungroh Yoon (CoRR, 2025)

A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges. - Jongseon Kim; Hyungjoon Kim; HyunGi Kim; Dongjun Lee; Sungroh Yoon (Artif. Intell. Rev., 2025)