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Jingzhi Gong
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Year
Does configuration encoding matter in learning software performance? An empirical study on encoding schemes
J Gong, T Chen
Proceedings of the 19th International Conference on Mining Software …, 2022
202022
Predicting Software Performance with Divide-and-Learn
J Gong, T Chen
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
122023
Predicting configuration performance in multiple environments with sequential meta-learning
J Gong, T Chen
Proceedings of the ACM on Software Engineering 1 (FSE), 359-382, 2024
112024
Deep configuration performance learning: A systematic survey and taxonomy
J Gong, T Chen
ACM Transactions on Software Engineering and Methodology 34 (1), 1-62, 2024
92024
Dividable configuration performance learning
J Gong, T Chen, R Bahsoon
IEEE Transactions on Software Engineering, 2024
52024
Accuracy can lie: On the impact of surrogate model in configuration tuning
P Chen, J Gong, T Chen
IEEE Transactions on Software Engineering, 2025
32025
GreenStableYolo: Optimizing inference time and image quality of text-to-image generation
J Gong, S Li, G d’Aloisio, Z Ding, Y Ye, WB Langdon, F Sarro
International Symposium on Search Based Software Engineering, 70-76, 2024
22024
Language Models for Code Optimization: Survey, Challenges and Future Directions
J Gong, V Voskanyan, P Brookes, F Wu, W Jie, J Xu, R Giavrimis, ...
arXiv preprint arXiv:2501.01277, 2025
12025
Pushing the boundary: Specialising deep configuration performance learning
J Gong
Loughborough University, 2024
2024
Opto-physiological monitoring senor to enable accurate physiological monitoring in real time and at anytime
S Hu, J Hou, X Zheng, V Dwyer, Y Elsahar, L Barrett, J Gong, M French, ...
Biomedical Applications of Light Scattering XIV 12856, 1285602, 2024
2024
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Articles 1–10