Kihong Heo

KAIST

H-index: 15

Asia-South Korea

About Kihong Heo

Kihong Heo, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at KAIST, specializes in the field of Programming Language, Static Analysis, Abstract Interpretation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Translation Validation for JIT Compiler in the V8 JavaScript Engine

Evaluating Directed Fuzzers: Are We Heading in the Right Direction?

{DAFL}: Directed Grey-box Fuzzing guided by Data Dependency

Tracer: Signature-based static analysis for detecting recurring vulnerabilities

Pacjam: Securing dependencies continuously via package-oriented debloating

Learning probabilistic models for static analysis alarms

Boosting static analysis accuracy with instrumented test executions

Kihong Heo Information

University	KAIST
Position	Assistant Professor
Citations(all)	914
Citations(since 2020)	696
Cited By	514
hIndex(all)	15
hIndex(since 2020)	13
i10Index(all)	15
i10Index(since 2020)	14
Email	Access Email
University Profile Page	KAIST
Google Scholar	View Google Scholar Profile

Kihong Heo Skills & Research Interests

Programming Language

Static Analysis

Abstract Interpretation

Top articles of Kihong Heo

Title	Author(s)	Publication Date
Translation Validation for JIT Compiler in the V8 JavaScript Engine	Seungwan Kwon Jaeseong Kwon Wooseok Kang Juneyoung Lee Kihong Heo	2024/4/12
Evaluating Directed Fuzzers: Are We Heading in the Right Direction?	TAEEUN KIM JAESEUNG CHOI SEONGJAE IM KIHONG HEO SANG KIL CHA	2024
{DAFL}: Directed Grey-box Fuzzing guided by Data Dependency	Tae Eun Kim Jaeseung Choi Kihong Heo Sang Kil Cha	2023
Tracer: Signature-based static analysis for detecting recurring vulnerabilities	Wooseok Kang Byoungho Son Kihong Heo	2022/11/7
Pacjam: Securing dependencies continuously via package-oriented debloating	Pardis Pashakhanloo Aravind Machiry Hyonyoung Choi Anthony Canino Kihong Heo ...	2022/5/30
Learning probabilistic models for static analysis alarms	Hyunsu Kim Mukund Raghothaman Kihong Heo	2022/5/21
Boosting static analysis accuracy with instrumented test executions	Tianyi Chen Kihong Heo Mukund Raghothaman	2021/8/20