Financial Engineering Lab.

About

Financial Engineering Laboratory is a research group in the Division of Finance & AI at Hankuk University of Foreign Studies, Global Campus. The lab is led by Prof. Hyeongwoo Kong.

We study how data analytics and machine learning can improve financial decision making. Our work spans financial data science, quantitative modeling of customer behavior and risk, and the evaluation of generative models for financial time series.

Selected Publications

Bold: lab director · Underlined: lab members · †: corresponding author

• Sahong Park, Suhwan Park, Hoyoung Lee, Gakyung Kwon, Wonbin Ahn, Jaewon Choi, Alejandro Lopez-Lira, Yoon Kim, Chanyeol Choi, Hyeongwoo Kong†, Yongjae Lee† (2026). Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron. arXiv preprint. [paper]
  bib

  @misc{park2026dial,
    author        = {Park, Sahong and Park, Suhwan and Lee, Hoyoung and Kwon, Gakyung and Ahn, Wonbin and Choi, Jaewon and Lopez-Lira, Alejandro and Kim, Yoon and Choi, Chanyeol and Kong, Hyeongwoo and Lee, Yongjae},
    title         = {Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron},
    year          = {2026},
    eprint        = {2608.22852},
    archivePrefix = {arXiv},
    howpublished  = {arXiv preprint}
  }

• Kiwan Kwon, Kangmin Kim, Hojin Lee, Yeseong Jung, Hyeongwoo Kong, Vamsi K. Potluru, Saerom Park†, Yongjae Lee† (2026). Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data. ACM International Conference on Information and Knowledge Management (CIKM). [paper]
  bib

  @inproceedings{kwon2026synth,
    author    = {Kwon, Kiwan and Kim, Kangmin and Lee, Hojin and Jung, Yeseong and Kong, Hyeongwoo and Potluru, Vamsi K. and Park, Saerom and Lee, Yongjae},
    title     = {Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data},
    year      = {2026},
    booktitle = {ACM International Conference on Information and Knowledge Management (CIKM)}
  }

• Inwoo Tae, Hyeongwoo Kong†, Junghye Lee, Yongjae Lee† (2025). Machine Learning for Disease-Specific Prediction of High-Cost Patients. Engineering Applications of Artificial Intelligence (JCR Q1). [paper]
  bib

  @article{tae2025machine,
    author  = {Tae, Inwoo and Kong, Hyeongwoo and Lee, Junghye and Lee, Yongjae},
    title   = {Machine Learning for Disease-Specific Prediction of High-Cost Patients},
    year    = {2025},
    journal = {Engineering Applications of Artificial Intelligence},
    doi     = {10.1016/j.engappai.2025.112200}
  }

• Hyeongwoo Kong, Wonje Yun, Woo Chang Kim† (2023). Tracking Customer Risk Aversion. Finance Research Letters (JCR Q1). [paper]
  bib

  @article{kong2023tracking,
    author  = {Kong, Hyeongwoo and Yun, Wonje and Kim, Woo Chang},
    title   = {Tracking Customer Risk Aversion},
    year    = {2023},
    journal = {Finance Research Letters},
    doi     = {10.1016/j.frl.2023.103698}
  }

• Hyeongwoo Kong, Wonje Yun, Weonyoung Joo, Ju-Hyun Kim, Kyoung-Kuk Kim, Il-Chul Moon, Woo Chang Kim† (2022). Constructing a Personalized Recommender System for Life Insurance Products with Machine-Learning Techniques. Intelligent Systems in Accounting, Finance and Management (JCR Q1). [paper]
  bib

  @article{kong2022constructing,
    author  = {Kong, Hyeongwoo and Yun, Wonje and Joo, Weonyoung and Kim, Ju-Hyun and Kim, Kyoung-Kuk and Moon, Il-Chul and Kim, Woo Chang},
    title   = {Constructing a Personalized Recommender System for Life Insurance Products with Machine-Learning Techniques},
    year    = {2022},
    journal = {Intelligent Systems in Accounting, Finance and Management},
    doi     = {10.1002/isaf.1523}
  }

All publications