Seonkyu Lim

According to our database, Seonkyu Lim authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Jina Park, Yongchan Kim, Suhyun Kim, Younggyun Hahm, Yiseul Lee, Yejee Kang, Chanhyuk Yoon, Chansu Lee, Heeyewon Jeong, Jiyeon Lee, Seonhye Gu, Hyebin Kang, Yousang Cho, Hangyeol Yoo, KyungTae Lim

CoRR, April, 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

J. Informetrics, 2025

FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features.

Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Financial Data Generation Utilizing Graph Information from Transaction Networks.

Kim Kwanggeun, Seonkyu Lim, Seungho Choi, Suk-Ju Kang

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

2024

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP.

Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network.

Yejin Park, Seonkyu Lim, Changdai Gu, Min Song

Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, 2023

MadSGM: Multivariate Anomaly Detection with Score-based Generative Models.

Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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, Noseong Park

Proceedings of the IEEE International Conference on Big Data, 2023