Zishuo Ding

Orcid: 0000-0002-0803-5609

According to our database1, Zishuo Ding authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
<i>LoGenText-Plus</i>: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates.
ACM Trans. Softw. Eng. Methodol., February, 2024

2023
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks.
ACM Trans. Softw. Eng. Methodol., April, 2023

StableYolo: Optimizing Image Generation for Large Language Models.
Proceedings of the Search-Based Software Engineering - 15th International Symposium, 2023

IoPV: On Inconsistent Option Performance Variations.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

On the Temporal Relations between Logging and Code.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Towards Utilizing Natural Language Processing Techniques to Assist in Software Engineering Tasks.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks.
Empir. Softw. Eng., 2022

LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation.
Proceedings of the IEEE International Conference on Software Analysis, 2022

2020
Towards the use of the readily available tests from the release pipeline as performance tests: are we there yet?
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020


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