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ASE'26 CCF-A CORE-A* Trust AI4SE

SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering

AuthorsJ. Gong, R. Gu, Z. Fei, Y. Cao, L. Twist, A. Geiger, S. Han, D. Sobania, F. Sarro, and J. M. Zhang

VenueNew Ideas and Emerging Results Track, IEEE/ACM International Conference on Automated Software Engineering (ASE 2026 NIER)

Year2026

MSR'26 CCF-C CORE-A Trust AI4SE

Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests

AuthorsJ. Gong, G. Pinna, Y. Bian, and J. M. Zhang

VenueInternational Conference on Mining Software Repositories, Mining Challenge Track (MSR 2026)

Year2026

MSR'26 CCF-C CORE-A Trust AI4SE

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance

AuthorsG. Pinna, J. Gong, D. Williams, and F. Sarro

VenueACM/IEEE International Conference on Mining Software Repositories, Mining Challenge Track (MSR 2026)

Year2026

ICSE'26 CCF-A CORE-A* Config Perf Eng

Dually Hierarchical Drift Adaptation for Online Configuration Performance Learning

AuthorsZ. Xiang, J. Gong, and T. Chen

VenueIEEE/ACM International Conference on Software Engineering (ICSE 2026)

Year2026 | Pages 13

ASE'25 CCF-A CORE-A* Code Perf Opt

Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective

AuthorsJ. Gong, R. Giavrimis, P. Brookes, V. Voskanyan, F. Wu, M. Ashiga, M. Truscott, M. Basios, L. Kanthan, J. Xu, and Z. Wang

VenueIEEE/ACM International Conference on Automated Software Engineering (ASE 2025)

Year2025 | Pages 12

SSBSE'25 Challenge CORE-B Code Perf Opt

GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization

AuthorsJ. Gong, Y. Bian, L. de la Cal, G. Pinna, A. Uteem, D. Williams, M. Zamorano, K. Even-Mendoza, W. B. Langdon, H. Menendez, and F. Sarro

VenueSymposium on Search-Based Software Engineering, Challenge Track (SSBSE 2025)

Year2025

ICSE'25 CCF-A CORE-A* Trust AI4SE

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design

AuthorsJ. Gong

VenueDoctoral and Early Career Symposium, IEEE/ACM International Conference on Software Engineering (ICSE 2025 DECS)

Year2025 | Pages 4

TAI'25 CiteScore-Q1 SE4AI

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey

AuthorsM. Ashiga, W. Jie, F. Wu, V. Voskanyan, F. Dinmohammadi, P. Brookes, J. Gong, and Z. Wang

VenueIEEE Transactions on Artificial Intelligence (TAI)

Year2025 | Pages 13

TOSEM'25 CCF-A JCR-Q1 AI4SE

Learning Software Bug Reports: A Systematic Literature Review

AuthorsG. Long, J. Gong, H. Fang, and T. Chen

VenueACM Transactions on Software Engineering and Methodology (TOSEM)

Year2025 | Pages 47

TSE'24 CCF-A JCR-Q1 Config Perf Eng

Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning

AuthorsP. Chen, J. Gong, and T. Chen

VenueIEEE Transactions on Software Engineering (TSE)

Year2024 | Pages 33

TSE'24 CCF-A JCR-Q1 Config Perf Eng

Dividable Configuration Performance Learning

AuthorsJ. Gong, T. Chen, and R. Bahsoon

VenueIEEE Transactions on Software Engineering (TSE)

Year2024 | Pages 29

TOSEM'24 CCF-A JCR-Q1 Config Perf Eng

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy

AuthorsJ. Gong and T. Chen

VenueACM Transactions on Software Engineering and Methodology (TOSEM)

Year2024 | Pages 62

SSBSE'24 Winner CORE-B SE4AI

GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation

AuthorsJ. Gong, S. Li, G. d'Aloisio, Z. Ding, Y. Ye, W. Langdon, and F. Sarro

VenueSymposium on Search-Based Software Engineering, Challenge Track (SSBSE 2024)

Year2024 | Pages 6

FSE'24 CCF-A CORE-A* Config Perf Eng

Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning

AuthorsJ. Gong and T. Chen

VenueACM International Conference on the Foundations of Software Engineering (FSE 2024)

Year2024 | Pages 24

FSE'23 CCF-A CORE-A* Config Perf Eng

Predicting Software Performance with Divide-and-Learn

AuthorsJ. Gong and T. Chen

VenueACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)

Year2023 | Pages 13

MSR'22 CCF-C CORE-A Config Perf Eng

Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes

AuthorsJ. Gong and T. Chen

VenueInternational Conference on Mining Software Repositories (MSR 2022)

Year2022 | Pages 13