Xin Zhou
Orcid: 0000-0002-4558-0622Affiliations:
- Singapore Management University, School of Computing and Information Systems, Singapore
According to our database1,
Xin Zhou
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
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Online presence:
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Bibliography
2025
Bridging expert knowledge with deep learning techniques for just-in-time defect prediction.
Empir. Softw. Eng., February, 2025
2024
IEEE Trans. Software Eng., November, 2024
ACM Trans. Softw. Eng. Methodol., March, 2024
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection.
CoRR, 2024
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.
CoRR, 2024
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
CoRR, 2024
Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair.
CoRR, 2024
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.
Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode.
IEEE Trans. Software Eng., October, 2023
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.
CoRR, 2023
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
CoRR, 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023
2022
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022
2021
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021