Seonkyu Lim

Jan 2012 - Present, Korea Financial Telecommunications & Clearings Institute

• AI Innovation Team: fraud detection, large language model, retrieval augmented generation

• Digital Transformation Team: the planning of enterprise-wide digital transformation strategy and actions

• Platform Dev. Team: the implementation of a middleware for information exchange between financial institutions

• IT Dev. Team: open banking and zero-pay (QR code payment) services

Jul 2022 - Present, IT Business Evaluation Committee of Seoul Metropolitan Government

May 2022 - Present, IT Business Evaluation Committee of IITP (Institute of Information & communications Technology Planning & Evaluation)

Jun 2021 - Present, IT Business Evaluation Committee of KISA (Korea Internet & Security Agency)

Mar 2022 - Aug 2025, Yonsei University

• Doctor of Philosophy in Computer Science

• Research Advisor: Prof. Noseong Park

• Research Interests : Time Series Forecasting, Fraud Detection, Tabular Data Synthesis, Graph Neural Networks

Feb 2010 - Feb 2012, KAIST (Korea Advanced Institute of Science and Technology)

• Master of Science in Computer Science

• Research Advisor: Prof. Myoung Ho Kim

• Research Areas : Face Database, Document Analysis, Social Network Analysis

• GPA : 4.17 / 4.3

Mar 2003 - Feb 2010, Yonsei University

• Bachelor of Science in Computer Science

• GPA : 4.01 / 4.3

Papers

• 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, and KyungTae Lim. "KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding." arXiv preprint arXiv:2504.13216 (2025). [paper]

• Yejin Park, Seonkyu Lim, Changdai Gu,  Arida Ferti Syafiandini, and Min Song. Forecasting Topic Trends of Blockchain Using Topic Modeling and Deep Learning-Based Time-Series Prediction on Different Data Sources, Journal of Informetrics (SSCI). [paper]

• Seonkyu Lim, Jeongwhan Choi, Noseong Park, "FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features", Social Impact: Bridging Innovations in Finance, Social Media, and Crime Prevention  Workshop at AAAI 2025. 

• Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park, "FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features", In AI4TS Workshop at AAAI 2025.

• Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park, "FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features", In IEEE BigComp, 2025. [paper]

• Kim Kwanggeun, Seonkyu Lim, Seungho Choi, Suk-Ju Kang, "Financial Data Generation Utilizing Graph Information from Transaction Networks", In IEEE BigComp, 2025. [paper]

• Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park, "Enhanced Fraud Detection in Bank Transfers via Augmented Account Features", ACM ICAIF Workshop on Foundation Models for Time Series: Exploring New Frontiers (FM4TS), 2024. 

• Kim Kwanggeun, Seonkyu Lim, Seungho Choi, Suk-Ju Kang, "Financial Data Generation Utilizing Graph Information from Transaction Networks", ACM ICAIF Workshop on Synthetic Data and GenAI in Finance, 2024. 

• Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, Shinhyuck Kang, Young-Min Kim, and Hyunjoong Kang, "Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP," In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.  [paper]

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

• Yejin Park, Seonkyu Lim, Changdai Gu and Min Song, "Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network," Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents and the 3rd AI + Informetrics (EEKEAII), 2023. [paper]

• Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, and Noseong Park, "MadSGM: Multivariate Anomaly Detection with Score-based Generative Models," In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023. [paper]

• Seoyeon Kang, Jehyun Jung, and Seonkyu Lim, "A Study on the Framework for the Trend Analysis based on the Text-mining Methods," Journal of Payment and Settlement,  Vol. 14, No. 1, 2022, pp.169-215. [paper]

• Seonkyu Lim, Tak-Eun Kim, Inchul Song, and Myoung Ho Kim. "A Fast and Scalable Face Recognition System for a Large Volume of Face Database," Journal of KIISE : Databases, Vol. 39, No. 5, 2012, pp.279-287. [paper]

• Kim, Tak-Eun, Seonkyu Lim, and Myoung-Ho Kim. "A Method for Lecture Video Browsing by Extracting Presentation Slides." Proceedings of the Korean Information Science Society Conference. Korean Institute of Information Scientists and Engineers, 2011.

• Seonkyu Lim, Inchul Song, and Myoung Ho Kim. "Measuring Relevance Between Structured Lecture Notes and Flat Documents for e-Learning." Copyrightⓒ 2011 EDB 2011 (2011): 89. [paper]

Articles

• Seonkyu Lim, "Research Trends in Graph Neural Networks for Fraud Detection," forthcoming in ITFIND by IITP (Institute of Information & communications Technology Planning & Evaluation), 2024.

• Seonkyu Lim, "Research Trends in Anti-Money Laundering based on Artificial Intelligence Technology," published in ITFIND by IITP (Institute of Information & communications Technology Planning & Evaluation), 2023.

• Seonkyu Lim, "Research Trends in Time Series Forecasting based on Deep Learning ," published in ITFIND by IITP (Institute of Information & communications Technology Planning & Evaluation), 2022.

• Seonkyu Lim, "Research Trends and Applications of Generative Models in Finance," published in ITFIND by IITP (Institute of Information & communications Technology Planning & Evaluation), 2021.

• Seonkyu Lim and GwangUi Hong, "Technology Stack for Building an Open API System," published in ITFIND by IITP (Institute of Information & communications Technology Planning & Evaluation), 2020.

Professional Engineer of Information Management (Qualification Number : 21123010433Y, Issuing Authority : Human Resources Development Service of Korea)

Professional Engineer of Computer System and Application (Qualification Number : 21123010455E, Issuing Authority : Human Resources Development Service of Korea)

Engineer of Information Security (Qualification Number : 17201000022A, Issuing Authority : Korea Communications Agency)

2024, Achieved Grand Award, FSC (Financial Services Commission) D-Testbed Project [press releases]

2023, Achieved Best Excellence Award, FSC (Financial Services Commission) D-Testbed Project [press releases]

2022, Achieved Grand Award, KFTC (Korea Financial Telecommunications & Clearings Institute) Paper Competition [press releases]

• Title : A Empirical Study on Financial Time Series Analysis based on Deep Learning Models - Focused on Forecasting and Anomaly Detection

2016, Achieved Encouragement Award, KFTC (Korea Financial Telecommunications & Clearings Institute) Paper Competition

• Title : A Study on Business Information Management Using Blockchain Technology

2009 2nd semester, Achieved Excellence Scholarship, Yonsei University 

2009 1st semester, Achieved Excellence Award, Yonsei University

2008 2nd semester, Achieved Excellence Award, Yonsei University

2008 1st semester, Achieved Excellence Award, Yonsei University

2003 - 2009, National Scholarship for Science and Engineering, KOSAF (Korea Student Aid Foundation)