Jinhan Kim,
Postdoctoral Researcher,
Università della Svizzera italiana,
Office D3.18 (Level P3), Sector D, Campus East, Via la Santa 1, 6962 Viganello, Switzerland
Email: jinhan.kim [at-symbol] usi.ch
CV: pdf
Jinhan Kim is a postdoc at TAU lab in Università della Svizzera italiana (USI) led by Prof. Paolo Tonella. He completed his Ph.D. degree from KAIST under the supervision of Dr. Shin Yoo, where he focused on software engineering research, particularly on mutation testing, fault localization, and deep learning system testing.
See the list at Google Scholar
The Inversive Relationship Between Bugs and Patches: An Empirical Study
Jinhan Kim, Jongchan Park, Shin Yoo
Mutation 2023 | pdf | Best Paper Award
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