Jinhan Kim,
Ph.D Student,
291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
email: jinhankim [at-symbol] kaist.ac.kr
Jinhan Kim is a fifth-year Ph.D student at COINSE Lab in KAIST. He generally works in the area of software engineering, currently focusing on mutation testing, fault localisation, and deep learning system testing. He received his B.S from School of Computing at KAIST, and started integrated M.S and Ph.D program since 2017 under the supervision of Dr. Shin Yoo.
See the list at Google Scholar
Repairing Fragile GUI Test Cases Using Word and Layout Embedding
Juyeon Yoon, Seungjoon Chung, Kihyuck Shin, Jinhan Kim, Shin Hong, Shin Yoo
Ahead of Time Mutation Based Fault Localisation Using Statistical Inference
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
ISSRE 2021 | pdf | Invited for a special issue of IST Journal
Reducing DNN Labelling Cost Using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo
Elicast: Embedding Interactive Exercises in Instructional Programming Screencasts
Jungkook Park, Yeong Hoon Park, Jinhan Kim, Jeongmin Cha, Suin Kim, Alice Oh
Learning Without Peeking: Secure Multi-Party Computation Genetic Programming
Jinhan Kim, Michael G. Epitropakis, Shin Yoo
Comparing Line and AST Granularity Level for Program Repair Using PyGGI
Gabin An, Jinhan Kim, Shin Yoo
BeUpright: Posture Correction Using Relational Norm Intervention
Jaemyung Shin, Bumsoo Kang, Taiwoo Park, Jina Huh, Jinhan Kim, Junehwa Song
PyGGI: Python General framework for Genetic Improvement
Gabin An, Jinhan Kim, Seongmin Lee, Shin Yoo
KCSE 2017
GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU
Jinhan Kim, Junhwi Kim, Shin Yoo
Demo: Posture Correction Using Smartphone-Based Relational Intervention Model
Jaemyung Shin, Bumsoo Kang, Jinhan Kim, Jina Huh, Junehwa Song, Taiwoo Park
SenSys 2015
Exploiting Mutant’s Relationship with Code, Faults, and Patches for Higher Efficacy of Mutation Analysis
Jinhan Kim
Ph.D. Thesis, KAIST, February 2023
Learning Test-Mutant Relationship for Accurate Fault Localisation
Jinhan Kim, Gabin An, Robert Feldt, Shin Yoo
Submitted in 2022 as a journal paper (under major revision)