Zishuo Ding
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Towards the use of the readily available tests from the release pipeline as performance tests: are we there yet?
Z Ding, J Chen, W Shang
🏆 Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks
Z Ding, H Li, W Shang, THP Chen
Empirical Software Engineering 27 (3), 63, 2022
Logentext: Automatically generating logging texts using neural machine translation
Z Ding, H Li, W Shang
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks
Z Ding, H Li, W Shang, TH Chen
ACM Transactions on Software Engineering and Methodology, 2022
LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
Z Ding, Y Tang, X Cheng, H Li, W Shang
ACM Transactions on Software Engineering and Methodology 33 (2), 1-45, 2023
IoPV: On Inconsistent Option Performance Variations
J Chen, Z Ding, Y Tang, M Sayagh, H Li, B Adams, W Shang
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
On the Temporal Relations between Logging and Code
Z Ding, Y Tang, Y Li, H Li, W Shang
Proceedings of the 45rd International Conference on Software Engineering, 2023
Stableyolo: Optimizing image generation for large language models
H Berger, A Dakhama, Z Ding, K Even-Mendoza, D Kelly, H Menendez, ...
International Symposium on Search Based Software Engineering, 133-139, 2023
CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing
Y Xia, Z Ding, W Shang
38th IEEE/ACM International Conference on Automated Software Engineering …, 2023
Beyond Natural Language Processing: Advancing Software Engineering Tasks through Code Structure
Z Ding
University of Waterloo, 2024
Towards Utilizing Natural Language Processing Techniques to Assist in Software Engineering Tasks
Z Ding
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
King’s Research Portal
H Berger, A Dakhama, Z Ding, K Even-Mendoza, D Kelly, HD Menendez, ...
Gcsum: Boosting Informativeness and Factual Consistency of Abstractive Summarization with Semantic Graph and Contrastive Learning
Q Nong, X Zhang, Z Jin, C Gao, WY Shang, KP Du, ZS Ding, YB Ma
Available at SSRN 4600240, 0
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