publications

2024

1. How to Create Dataset to Train a ML Model for Fault Localization: A Case Study on JsonCpp

   Heechan Yang, A. Lee , I. Lee, H. Nam, N. Jung, K. Cho, and M. Kim

   In Korean Computer Congress (KCC), Jun 2024

   Bib PDF

   @inproceedings{yang2024dataset,
     title = {How to Create Dataset to Train a ML Model for Fault Localization: A Case Study on JsonCpp},
     author = {Yang, Heechan and Lee, A. and Lee, I. and Nam, H. and Jung, N. and Cho, K. and Kim, M.},
     booktitle = {Korean Computer Congress (KCC)},
     year = {2024},
     month = jun,
   }

2022

1. A Neural Language Model-based Text Editing Tool for OCR Result of Unstructured Childhood Education Materials

   E. Ahn^*, Heechan Yang^*, E. Jee, and S. Hong

   In Korean Software Congress (KSC), Dec 2022

   Note Awarded Bib PDF

   Undergraduate student research competition award

   * = Equal contribution

   @inproceedings{ahn2022neural,
     title = {A Neural Language Model-based Text Editing Tool for OCR Result of Unstructured Childhood Education Materials},
     author = {Ahn, E. and Yang, Heechan and Jee, E. and Hong, S.},
     booktitle = {Korean Software Congress (KSC)},
     year = {2022},
     month = dec,
     note = {* = Equal contribution},
   }