Registered user since Tue 21 Mar 2017
Dongsun Kim is an assistant professor at Kyungpook National University. He has received his Ph.D. degree in Computer Science and Engineering from Sogang University, Korea. His career includes several academic and industrial experiences. He was a postdoctoral fellow at the Hong Kong University of Science and Technology from September 2010 to June 2013. He joined the University of Luxembourg as a research associate in November 2013 and continued his position until November 2018. From April 2019, he worked as a senior software test engineer position at Furiosa.ai, a fabless startup company manufacturing neural processing units.
He has published several research papers and participated in several research projects relevant to AI-based software engineering. In particular, he has pioneered a new line of research on pattern-based program repair. His recent achievements have focused on automated fix pattern mining, deep code representation for mining fix patterns, program repair driven by bug reports, fault localization impact on program repair, and specific topics for program repair; for these topics, he leveraged several AI-based techniques such as autoencoders, CNNs, etc.
Contributions
2025
2024
APSEC
ASE
- Author of DataRecipe — How to Cook the Data for CodeLLM? within the Research Papers-track
- Committee Member in Program Committee within the Tool Demonstrations-track
- Author of DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode within the Journal-first Papers-track
ICSE
- Judge in Judges within the SRC - ACM Student Research Competition-track
- Author of Poracle: Testing Patches Under Preservation Conditions to Combat the Overfitting Problem of Program Repair within the Journal-first Papers-track
- Committee Member in ACM Student Research Competition within the SRC - ACM Student Research Competition-track
- Author of Unveiling Memorization in Code Models within the Research Track-track