Jingzhi Gong

According to our database, Jingzhi Gong authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dually Hierarchical Drift Adaptation for Online Configuration Performance Learning.

Zezhen Xiang, Jingzhi Gong, Tao Chen

CoRR, July, 2025

Learning Software Bug Reports: A Systematic Literature Review.

Guoming Long, Jingzhi Gong, Hui Fang, Tao Chen

CoRR, July, 2025

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

Mari Ashiga, Wei Jie, Fan Wu, Vardan Voskanyan, Fateme Dinmohammadi, Paul Brookes, Jingzhi Gong, Zheng Wang

CoRR, March, 2025

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

Pengzhou Chen, Jingzhi Gong, Tao Chen

IEEE Trans. Software Eng., February, 2025

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

Jingzhi Gong

CoRR, February, 2025

Dividable Configuration Performance Learning.

Jingzhi Gong, Tao Chen, Rami Bahsoon

IEEE Trans. Software Eng., January, 2025

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy.

Jingzhi Gong, Tao Chen

ACM Trans. Softw. Eng. Methodol., January, 2025

Language Models for Code Optimization: Survey, Challenges and Future Directions.

Jingzhi Gong, Vardan Voskanyan, Paul Brookes, Fan Wu, Wei Jie, Jie Xu, Rafail Giavrimis, Mike Basios, Leslie Kanthan, Zheng Wang

CoRR, January, 2025

2024

Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning.

Jingzhi Gong, Tao Chen

Proc. ACM Softw. Eng., 2024

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

Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro

CoRR, 2024

Pushing the Boundary: Specialising Deep Configuration Performance Learning.

Jingzhi Gong

CoRR, 2024

2023

Predicting Software Performance with Divide-and-Learn.

Jingzhi Gong, Tao Chen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022

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

Jingzhi Gong, Tao Chen

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022