Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. - Seonkyu Lim; Jaehyeon Park; Seojin Kim; Hyowon Wi; Haksoo Lim; Jinsung Jeon; Jeongwhan Choi 002; Noseong Park (IEEE Big Data, 2023)

MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. - Haksoo Lim; Sewon Park 004; Minjung Kim; Jaehoon Lee 002; Seonkyu Lim; Noseong Park (CIKM, 2023)

Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network. - Yejin Park; Seonkyu Lim; Changdai Gu; Min Song (EEKE/AII@JCDL, 2023)

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. - Seonkyu Lim; Jeongwhan Choi 002; Noseong Park; Sang-Ha Yoon; ShinHyuck Kang; Young-Min Kim; Hyunjoong Kang (CIKM, 2024)

Financial Data Generation Utilizing Graph Information from Transaction Networks. - Kim Kwanggeun; Seonkyu Lim; Seungho Choi; Suk-Ju Kang (BigComp, 2025)

FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features. - Seonkyu Lim; Jeongwhan Choi 002; Jaehoon Lee 002; Noseong Park (BigComp, 2025)

Forecasting topic trends of blockchain utilizing topic modeling and deep learning-based time-series prediction on different document types. - Yejin Park; Seonkyu Lim; Changdai Gu; Arida Ferti Syafiandini; Min Song 001 (J. Informetrics, 2025)

KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding. - Bokwang Hwang; Seonkyu Lim; Taewoong Kim; Yongjae Geun; Sunghyun Bang; Sohyun Park; Jihyun Park; Myeonggyu Lee; Jinwoo Lee; Yerin Kim; Jinsun Yoo; Jingyeong Hong; et al. (CoRR, 2025)