Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV. - Jeongju Sohn; Seongmin Lee 001; Shin Yoo (SSBSE, 2016)

Hyperheuristic Observation Based Slicing of Guava. - Seongmin Lee 001; Shin Yoo (SSBSE, 2017)

MOBS: multi-operator observation-based slicing using lexical approximation of program dependence. - Seongmin Lee 001; David W. Binkley; Nicolas Gold; Syed S. Islam; Jens Krinke; Shin Yoo (ICSE (Companion Volume), 2018)

Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. - Seongmin Lee 001; Shin Hong; Jungbae Yi; Taeksu Kim; Chul-Joo Kim; Shin Yoo (ICST, 2019)

MOAD: Modeling Observation-Based Approximate Dependency. - Seongmin Lee 001; David W. Binkley; Robert Feldt; Nicolas Gold; Shin Yoo (SCAM, 2019)

Scalable and approximate program dependence analysis. - Seongmin Lee 001 (ICSE (Companion Volume), 2020)

Evaluating lexical approximation of program dependence. - Seongmin Lee 001; Dave W. Binkley; Nicolas Gold; Syed S. Islam; Jens Krinke; Shin Yoo (J. Syst. Softw., 2020)

Genetic Improvement @ ICSE 2020. - William B. Langdon; Westley Weimer; Justyna Petke; Erik M. Fredericks; Seongmin Lee 001; Emily Winter 001; Michail Basios; Myra B. Cohen; Aymeric Blot; Markus Wagner 007; Bobby R. Bruce; Shin Yoo; et al. (ACM SIGSOFT Softw. Eng. Notes, 2020)

Effectively Sampling Higher Order Mutants Using Causal Effect. - Saeyoon Oh; Seongmin Lee 001; Shin Yoo (ICST Workshops, 2021)

Observation-based approximate dependency modeling and its use for program slicing. - Seongmin Lee 001; Dave W. Binkley; Robert Feldt; Nicolas Gold; Shin Yoo (J. Syst. Softw., 2021)

Statistical Reachability Analysis. - Seongmin Lee 001; Marcel Böhme (ESEC/SIGSOFT FSE, 2023)

Extrapolating Coverage Rate in Greybox Fuzzing. - Danushka Liyanage; Seongmin Lee 001; Chakkrit Tantithamthavorn; Marcel Böhme (ICSE, 2024)

How Much is Unseen Depends Chiefly on Information About the Seen. - Seongmin Lee 001; Marcel Böhme (CoRR, 2024)

How Much is Unseen Depends Chiefly on Information About the Seen. - Seongmin Lee 001; Marcel Boehme (ICLR, 2025)

Accounting for Missing Events in Statistical Information Leakage Analysis. - Seongmin Lee 001; Shreyas Minocha; Marcel Böhme (ICSE, 2025)

Refining Fuzzed Crashing Inputs for Better Fault Diagnosis. - Kieun Kim; Seongmin Lee 001; Shin Hong (SIGSOFT FSE Companion, 2025)

Causal program dependence analysis. - Seongmin Lee 001; Dave W. Binkley; Robert Feldt; Nicolas Gold; Shin Yoo (Sci. Comput. Program., 2025)

Can LLM Generate Regression Tests for Software Commits? - Jing Liu; Seongmin Lee 001; Eleonora Losiouk; Marcel Böhme (CoRR, 2025)

Large Language Model-Driven Concolic Execution for Highly Structured Test Input Generation. - Haoxin Tu; Seongmin Lee 001; Yuxian Li; Peng Chen; Lingxiao Jiang; Marcel Böhme (CoRR, 2025)