Jingzhi Gong

According to our database, Jingzhi Gong authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

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

Jingzhi Gong, Tao Chen

Proc. ACM Softw. Eng., 2024

Dividable Configuration Performance Learning.

Jingzhi Gong, Tao Chen, Rami Bahsoon

CoRR, 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

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy.

Jingzhi Gong, Tao Chen

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