Financial Engineering Lab.

Publications

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

2026 2025 2023 2022 2020 Thesis13 citations · Download all as BibTeX

2026

• 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)}
  }

2025

• 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}
  }

2023

• Hyeongwoo Kong, Wonje Yun, Woo Chang Kim† (2023). Tracking Customer Risk Aversion. Finance Research Letters (JCR Q1). [paper] Cited by 2
  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}
  }

2022

• 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] Cited by 5
  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}
  }

2020

• Guseon Ji, Hyeongwoo Kong, Woo Chang Kim, Kwangwon Ahn† (2020). Stochastic Volatility and Early Warning Indicator. International Conference on Computational Science (ICCS). [paper] Cited by 6
  bib

  @inproceedings{ji2020stochastic,
    author    = {Ji, Guseon and Kong, Hyeongwoo and Kim, Woo Chang and Ahn, Kwangwon},
    title     = {Stochastic Volatility and Early Warning Indicator},
    year      = {2020},
    booktitle = {International Conference on Computational Science (ICCS)},
    doi       = {10.1007/978-3-030-50371-0_30}
  }

Thesis

• Hyeongwoo Kong (2024). Enhancing Financial Services via Data Analytics and Machine Learning. Ph.D. dissertation, Department of Industrial and Systems Engineering, KAIST.
  bib

  @phdthesis{kong2024enhancing,
    author = {Kong, Hyeongwoo},
    title  = {Enhancing Financial Services via Data Analytics and Machine Learning},
    year   = {2024},
    school = {KAIST}
  }