Jinhan Kim
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Guiding Deep Learning System Testing using Surprise Adequacy
J Kim, R Feldt, S Yoo
Proceedings of the 41st International Conference on Software Engineering …, 2019
Beupright: Posture Correction Using Relational Norm Intervention
J Shin, B Kang, T Park, J Huh, J Kim, J Song
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
Comparing Line and AST Granularity Level for Program Repair Using PyGGI
G An, J Kim, S Yoo
Proceedings of the 4th International Workshop on Genetic Improvement …, 2018
Software Review: DEAP (Distributed Evolutionary Algorithm in Python) Library
J Kim, S Yoo
Genetic Programming and Evolvable Machines 20 (1), 139-142, 2019
Reducing DNN Labelling Cost Using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
J Kim, J Ju, R Feldt, S Yoo
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
Elicast: Embedding Interactive Exercises in Instructional Programming Screencasts
J Park, YH Park, J Kim, J Cha, S Kim, A Oh
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 58, 2018
PyGGI: Python General framework for Genetic Improvement
G An, J Kim, S Lee, S Yoo
한국정보과학회 학술발표논문집, 536-538, 2017
GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU
J Kim, J Kim, S Yoo
International Symposium on Search Based Software Engineering, 137-142, 2017
Ahead of Time Mutation Based Fault Localisation Using Statistical Inference
J Kim, G An, R Feldt, S Yoo
arXiv preprint arXiv:1902.09729, 2019
Learning Without Peeking: Secure Multi-party Computation Genetic Programming
J Kim, MG Epitropakis, S Yoo
International Symposium on Search Based Software Engineering, 246-261, 2018
Predictive Mutation Analysis via Natural Language Channel in Source Code
J Kim, J Jeon, S Hong, S Yoo
arXiv preprint arXiv:2104.10865, 2021
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