| An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum) K Han, HJ Jeong, HB Yang, SM Kang, JK Kwon, S Kim, D Choi, BC Kang DNA Research 23 (2), 81-91, 2016 | 104 | 2016 |
| Large language models are few-shot testers: Exploring llm-based general bug reproduction S Kang, J Yoon, S Yoo 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE ・, 2023 | 68* | 2023 |
| Arachne: Search-Based Repair of Deep Neural Networks J Sohn, S Kang, S Yoo ACM Transactions on Software Engineering and Methodology 32 (4), 1-26, 2023 | 62* | 2023 |
| Sinvad: Search-based image space navigation for dnn image classifier test input generation S Kang, R Feldt, S Yoo Proceedings of the IEEE/ACM 42nd International Conference on Software ・, 2020 | 22 | 2020 |
| Explainable automated debugging via large language model-driven scientific debugging S Kang, B Chen, S Yoo, JG Lou arXiv preprint arXiv:2304.02195, 2023 | 19 | 2023 |
| Towards autonomous testing agents via conversational large language models R Feldt, S Kang, J Yoon, S Yoo 2023 38th IEEE/ACM International Conference on Automated Software ・, 2023 | 14 | 2023 |
| A preliminary evaluation of llm-based fault localization S Kang, G An, S Yoo arXiv preprint arXiv:2308.05487, 2023 | 13 | 2023 |
| Consistent comic colorization with pixel-wise background classification S Kang, J Choo, J Chang Proceedings of the NIPS 17, 2017 | 12 | 2017 |
| Language models can prioritize patches for practical program patching S Kang, S Yoo Proceedings of the Third International Workshop on Automated Program Repair ・, 2022 | 11 | 2022 |
| Towards objective-tailored genetic improvement through large language models S Kang, S Yoo 2023 IEEE/ACM International Workshop on Genetic Improvement (GI), 19-20, 2023 | 8 | 2023 |
| GLAD: Neural Predicate Synthesis to Repair Omission Faults S Kang, S Yoo 2023 IEEE/ACM 45th International Conference on Software Engineering ・, 2023 | 4 | 2023 |
| The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications JY Lee, S Kang, J Yoon, S Yoo arXiv preprint arXiv:2310.13229, 2023 | 2 | 2023 |
| Microcellular sensing media with ternary transparency states for fast and intuitive identification of unknown liquids KM Song, S Kim, S Kang, TW Nam, GY Kim, H Lim, EN Cho, KH Kim, ... Science Advances 7 (38), eabg8013, 2021 | 2 | 2021 |
| Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction S Kang, J Yoon, N Askarbekkyzy, S Yoo arXiv preprint arXiv:2311.04532, 2023 | 1 | 2023 |
| Method, apparatus, and computer program for completing painting of image, and method, apparatus, and computer program for training artificial neural network S Kang, JH Chang US Patent 11,887,224, 2024 | | 2024 |
| A Bayesian Framework for Automated Debugging S Kang, W Choi, S Yoo Proceedings of the 32nd ACM SIGSOFT International Symposium on Software ・, 2023 | | 2023 |
| Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs using Variational Autoencoders S Kang, R Feldt, S Yoo ACM Transactions on Software Engineering and Methodology, 2023 | | 2023 |
| International Workshop on Automated Program Repair M Harman, S Kang, S Yoo, A Ghanbari, A Nilizadeh, T Gary, F Ribeiro, ... | | 2022 |
| Method for coloring a target image, and device and computer program therefor JH Chang, S Kang, LEE Gayoung US Patent App. 17/464,899, 2021 | | 2021 |
| Interpreting Models by Allowing to Ask S Kang, DK Park, J Chang, J Choo arXiv preprint arXiv:1811.05106, 2018 | | 2018 |
