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2020 – today
- 2024
[j9]Yongwoo Jeong
, Jae-Jun Song, Jiseon Yang, Sungmin Kang:
Advancing Tinnitus Therapeutics: GPT-2 Driven Clustering Analysis of Cognitive Behavioral Therapy Sessions and Google T5-Based Predictive Modeling for THI Score Assessment. IEEE Access 12: 52414-52427 (2024)- [j8]Sungmin Kang, Gabin An, Shin Yoo:
A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization. Proc. ACM Softw. Eng. 1(FSE): 1424-1446 (2024) - [j7]Sungmin Kang, Robert Feldt, Shin Yoo:
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders. ACM Trans. Softw. Eng. Methodol. 33(4): 103:1-103:24 (2024) - [c13]Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo:
The GitHub Recent Bugs Dataset for Evaluating LLM-Based Debugging Applications. ICST 2024: 442-444 - [i14]Sungmin Kang, Louis Milliken, Shin Yoo:
Identifying Inaccurate Descriptions in LLM-generated Code Comments via Test Execution. CoRR abs/2406.14836 (2024) - [i13]Sungmin Kang, Jaeha Song, Jihie Kim:
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. CoRR abs/2408.00347 (2024) - 2023
- [j6]Jeongju Sohn, Sungmin Kang, Shin Yoo:
Arachne: Search-Based Repair of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 32(4): 85:1-85:26 (2023) - [c12]Sungmin Kang, Shin Yoo:
Towards Objective-Tailored Genetic Improvement Through Large Language Models. GI 2023: 19-20 - [c11]Sungmin Kang, Shin Yoo:
GLAD: Neural Predicate Synthesis to Repair Omission Faults. ICSE Companion 2023: 320-321 - [c10]Sungmin Kang, Juyeon Yoon, Shin Yoo:
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. ICSE 2023: 2312-2323 - [c9]Sungmin Kang, Joonyong Hwang, Younghoon Kim:
DAQS: Dynamic and Accurate QoS for SR-IOV. ICTC 2023: 1440-1442 - [c8]Sungmin Kang, Wonkeun Choi, Shin Yoo:
A Bayesian Framework for Automated Debugging. ISSTA 2023: 880-891 - [c7]Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo:
Towards Autonomous Testing Agents via Conversational Large Language Models. ASE 2023: 1688-1693 - [i12]Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou:
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR abs/2304.02195 (2023) - [i11]Sungmin Kang, Shin Yoo:
Towards Objective-Tailored Genetic Improvement Through Large Language Models. CoRR abs/2304.09386 (2023) - [i10]Robert Feldt, Sungmin Kang, Juyeon Yoon, Shin Yoo:
Towards Autonomous Testing Agents via Conversational Large Language Models. CoRR abs/2306.05152 (2023) - [i9]Sungmin Kang, Gabin An, Shin Yoo:
A Preliminary Evaluation of LLM-Based Fault Localization. CoRR abs/2308.05487 (2023) - [i8]Jae Yong Lee, Sungmin Kang, Juyeon Yoon, Shin Yoo:
The GitHub Recent Bugs Dataset for Evaluating LLM-based Debugging Applications. CoRR abs/2310.13229 (2023) - [i7]Sungmin Kang, Juyeon Yoon, Nargiz Askarbekkyzy, Shin Yoo:
Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction. CoRR abs/2311.04532 (2023) - 2022
- [c6]Sungmin Kang, Shin Yoo:
Language Models Can Prioritize Patches for Practical Program Patching. APR@ICSE 2022: 8-15 - [i6]Sungmin Kang, Shin Yoo:
GLAD: Neural Predicate Synthesis to Repair Omission Faults. CoRR abs/2204.06771 (2022) - [i5]Sungmin Kang, Juyeon Yoon, Shin Yoo:
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. CoRR abs/2209.11515 (2022) - [i4]Sungmin Kang, Wonkeun Choi, Shin Yoo:
A Bayesian Framework for Automated Debugging. CoRR abs/2212.13773 (2022) - 2020
- [c5]Sungmin Kang, Robert Feldt, Shin Yoo:
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. ICSE (Workshops) 2020: 521-528 - [i3]Sungmin Kang, Robert Feldt, Shin Yoo:
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. CoRR abs/2005.09296 (2020)
2010 – 2019
- 2019
- [i2]Jeongju Sohn, Sungmin Kang, Shin Yoo:
Search Based Repair of Deep Neural Networks. CoRR abs/1912.12463 (2019) - 2018
- [j5]Pyoungsoo Lee, Sungmin Kang:
An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability. Inf. 9(6): 130 (2018) - [i1]Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo:
Interpreting Models by Allowing to Ask. CoRR abs/1811.05106 (2018) - 2016
- [j4]Hongyeon Kim, Sungmin Kang, Seok-Joo Lee, Jun-Ki Min:
The Efficient Algorithms for Constructing Enhanced Quadtrees Using MapReduce. IEICE Trans. Inf. Syst. 99-D(4): 918-926 (2016) - [j3]Sungmin Kang, Sung-Chan Jang, Gi Yong Kim, Chang-Soo Lee, Yun Suk Huh, Chang Hyun Roh:
A Rapid In Situ Colorimetric Assay for Cobalt Detection by the Naked Eye. Sensors 16(5): 626 (2016) - [c4]Seok-Joo Lee, Sungmin Kang, Hongyeon Kim, Jun-Ki Min:
An efficient parallel graph clustering technique using Pregel. BigComp 2016: 370-373 - 2013
- [j2]JinBaek Kim, Sungmin Kang, Hoon S. Cha:
Smartphone Banking: The Factors Influencing the Intention to Use. KSII Trans. Internet Inf. Syst. 7(5): 1213-1235 (2013)
2000 – 2009
- 2006
- [j1]Sang Hyun Choi, Sungmin Kang, Young Jun Jeon:
Personalized recommendation system based on product specification values. Expert Syst. Appl. 31(3): 607-616 (2006) - [c3]Seng-Phil Hong, Sungmin Kang:
Ensuring Privacy in Smartcard-Based Payment Systems: A Case Study of Public Metro Transit Systems. Communications and Multimedia Security 2006: 206-215
1990 – 1999
- 1998
- [c2]Sungmin Kang:
Adoption of the Internet and the Information Superhighway for Electronic Commerce. HICSS (4) 1998: 12-21 - [c1]Sungmin Kang:
Information Technology Acceptance: Evolving with the Changes in the Network Environment. HICSS (1) 1998: 413-423
Coauthor Index
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last updated on 2024-09-09 00:13 CEST by the dblp team
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