Information Technology Acceptance: Evolving with the Changes in the Network Environment. - Sungmin Kang (HICSS (1), 1998)

Adoption of the Internet and the Information Superhighway for Electronic Commerce. - Sungmin Kang (HICSS (4), 1998)

Ensuring Privacy in Smartcard-Based Payment Systems: A Case Study of Public Metro Transit Systems. - Seng-Phil Hong; Sungmin Kang (Communications and Multimedia Security, 2006)

Personalized recommendation system based on product specification values. - Sang Hyun Choi; Sungmin Kang; Young Jun Jeon (Expert Syst. Appl., 2006)

Smartphone Banking: The Factors Influencing the Intention to Use. - JinBaek Kim; Sungmin Kang; Hoon S. Cha (KSII Trans. Internet Inf. Syst., 2013)

An efficient parallel graph clustering technique using Pregel. - Seok-Joo Lee; Sungmin Kang; Hongyeon Kim; Jun-Ki Min (BigComp, 2016)

The Efficient Algorithms for Constructing Enhanced Quadtrees Using MapReduce. - Hongyeon Kim; Sungmin Kang; Seok-Joo Lee; Jun-Ki Min (IEICE Trans. Inf. Syst., 2016)

A Rapid In Situ Colorimetric Assay for Cobalt Detection by the Naked Eye. - Sungmin Kang; Sung-Chan Jang; Gi Yong Kim; Chang-Soo Lee; Yun Suk Huh; Chang Hyun Roh (Sensors, 2016)

Interpreting Models by Allowing to Ask. - Sungmin Kang; David Keetae Park; Jaehyuk Chang; Jaegul Choo (CoRR, 2018)

An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability. - Pyoungsoo Lee; Sungmin Kang (Inf., 2018)

Search Based Repair of Deep Neural Networks. - Jeongju Sohn; Sungmin Kang; Shin Yoo (CoRR, 2019)

SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. - Sungmin Kang; Robert Feldt; Shin Yoo (ICSE (Workshops), 2020)

Language Models Can Prioritize Patches for Practical Program Patching. - Sungmin Kang; Shin Yoo (APR@ICSE, 2022)

Towards Objective-Tailored Genetic Improvement Through Large Language Models. - Sungmin Kang; Shin Yoo (GI, 2023)

GLAD: Neural Predicate Synthesis to Repair Omission Faults. - Sungmin Kang; Shin Yoo (ICSE Companion, 2023)

Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. - Sungmin Kang; Juyeon Yoon; Shin Yoo (ICSE, 2023)

DAQS: Dynamic and Accurate QoS for SR-IOV. - Sungmin Kang; Joonyong Hwang; Younghoon Kim (ICTC, 2023)

A Bayesian Framework for Automated Debugging. - Sungmin Kang; Wonkeun Choi; Shin Yoo (ISSTA, 2023)

Towards Autonomous Testing Agents via Conversational Large Language Models. - Robert Feldt; Sungmin Kang; Juyeon Yoon; Shin Yoo (ASE, 2023)

A Preliminary Evaluation of LLM-Based Fault Localization. - Sungmin Kang; Gabin An; Shin Yoo (CoRR, 2023)

Arachne: Search-Based Repair of Deep Neural Networks. - Jeongju Sohn; Sungmin Kang; Shin Yoo (ACM Trans. Softw. Eng. Methodol., 2023)

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. - Sungmin Kang; Jaeha Song; Jihie Kim (BMVC, 2024)

The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. - Jae Yong Lee; Sungmin Kang; Juyeon Yoon; Shin Yoo (ICST, 2024)

Advancing Tinnitus Therapeutics: GPT-2 Driven Clustering Analysis of Cognitive Behavioral Therapy Sessions and Google T5-Based Predictive Modeling for THI Score Assessment. - Yongwoo Jeong; Jae-Jun Song; Jiseon Yang; Sungmin Kang (IEEE Access, 2024)

Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution. - Sungmin Kang; Louis Milliken; Shin Yoo (CoRR, 2024)

A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization. - Sungmin Kang; Gabin An; Shin Yoo (Proc. ACM Softw. Eng., 2024)

Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders. - Sungmin Kang; Robert Feldt; Shin Yoo (ACM Trans. Softw. Eng. Methodol., 2024)

Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. - Sungmin Kang; Juyeon Yoon; Nargiz Askarbekkyzy; Shin Yoo (IEEE Trans. Software Eng., 2024)

Reconsidering LLM Uncertainty Estimation Methods in the Wild. - Yavuz Faruk Bakman; Duygu Nur Yaldiz; Sungmin Kang; Tuo Zhang; Baturalp Buyukates; Salman Avestimehr; Sai Praneeth Karimireddy (ACL (1), 2025)

Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths. - Naryeong Kim; Sungmin Kang; Gabin An; Shin Yoo (DeepTest, 2025)

COSMosFL: Ensemble of Small Language Models for Fault Localisation. - Hyunjoon Cho; Sungmin Kang; Gabin An; Shin Yoo (LLM4Code@ICSE, 2025)

Beyond pip Install: Evaluating LLM Agents for the Automated Installation of Python Projects. - Louis Milliken; Sungmin Kang; Shin Yoo (SANER, 2025)

Predictive Prompt Analysis. - Jae Yong Lee; Sungmin Kang; Shin Yoo (SIGSOFT FSE Companion, 2025)

Can We Predict the Effect of Prompts? - Jae Yong Lee; Sungmin Kang; Shin Yoo (CoRR, 2025)

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning. - Jisoo Kim 007; Sungmin Kang; Sunwoo Lee (CoRR, 2025)

Explainable automated debugging via large language model-driven scientific debugging. - Sungmin Kang; Bei Chen; Shin Yoo; Jian-Guang Lou (Empir. Softw. Eng., 2025)

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. - Duygu Nur Yaldiz; Yavuz Faruk Bakman; Sungmin Kang; Alperen Özis; Hayrettin Eren Yildiz; Mitash Ashish Shah; Zhiqi Huang; Anoop Kumar; Alfy Samuel; Daben Liu; Sai Praneeth Karimireddy; Salman Avestimehr (CoRR, 2025)

AutoCodeSherpa: Symbolic Explanations in AI Coding Agents. - Sungmin Kang; Haifeng Ruan; Abhik Roychoudhury (CoRR, 2025)