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Author

Jingzhi Gong

Observed name: Gong, Jingzhi
ORCID: 0000-0003-4551-0701
Observed ORCID: 0000-0003-4551-0701
OpenAlex ID: A5004040725
Predicting Software Performance with Divide-and-Learn
2023 · Jingzhi Gong, Tao Chen · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 20
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Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
2024 · Jingzhi Gong, Tao Chen · ACM Transactions on Software Engineering and Methodology · 19
Does configuration encoding matter in learning software performance?
2022 · Jingzhi Gong, Tao Chen · International Conference on Mining Software Repositories (MSR) · 17
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Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning
2025 · Pengzhou Chen, Jingzhi Gong, et al. · IEEE Transactions on Software Engineering · 16
Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning
2024 · Jingzhi Gong, Tao Chen · Proceedings of the ACM on software engineering. · 16
Dividable Configuration Performance Learning
2024 · Jingzhi Gong, Tao Chen, et al. · IEEE Transactions on Software Engineering · 14
Learning Software Bug Reports: A Systematic Literature Review
2025 · Guoming Long, Jingzhi Gong, et al. · ACM Transactions on Software Engineering and Methodology · 9
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation
2024 · Jingzhi Gong, Sisi Li, et al. · Lecture notes in computer science · 9
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Language Models for Code Optimization: Survey, Challenges and Future Directions
2025 · Gong, Jingzhi, Voskanyan, Vardan, et al. · arXiv (Cornell University) · 6
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Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
2026 · Mari Ashiga, Wei Jie, et al. · IEEE Transactions on Artificial Intelligence · 2
GA4GC:Greener Agent for Greener Code via Multi-objective Configuration Optimization
2026 · Gong, Jingzhi, Bian, Yixin, et al. · Research Portal (King's College London) · 2
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Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
2025 · Jingzhi Gong, Rafail Giavrimis, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 2
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Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
2026 · Jingzhi Gong, Giovanni Pinna, et al. · International Conference on Mining Software Repositories (MSR) · 1
Hybrid Approach for Electrocardiogram Images Classification: Residual Network and Random Forest
2024 · Noor Qaqos, Ekenedirichukwu Nelson Obianom, et al. · Computing in cardiology · 1
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Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
2026 · Giovanni Pinna, Jingzhi Gong, et al. · International Conference on Mining Software Repositories (MSR)
Dually Hierarchical Drift Adaptation for Online Configuration Performance Learning
2026 · Zezhen Xiang, Jingzhi Gong, et al. · IEEE/ACM International Conference on Software Engineering (ICSE)
GA4GC: Greener Agent for Greener Code via Multi-objective Configuration Optimization
2026 · Jingzhi Gong, Yixin Bian, et al. · Lecture notes in computer science
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Evolving Excellence: Automated Optimization of LLM-based Agents
2025 · Brookes, Paul, Voskanyan, Vardan, et al. · arXiv (Cornell University)
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Industrial LLM-based Code Optimization under Regulation: A Mixture-of-Agents Approach
2025 · Ashiga, Mari, Voskanyan, Vardan, et al. · arXiv (Cornell University)
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Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design
2025 · Gong, Jingzhi · arXiv (Cornell University)
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Works count: 22
Citation count: 134
H-index: 8
I10-index: 6
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