Lanxin Yang
Orcid: 0000-0002-0406-2263
According to our database1,
Lanxin Yang
authored at least 18 papers
between 2020 and 2025.
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Bibliography
2025
Empir. Softw. Eng., February, 2025
DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection.
J. Syst. Softw., 2025
2024
A prelinary investigation on using multi-task learning to predict change performance in code reviews.
Empir. Softw. Eng., November, 2024
Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations.
Proc. ACM Softw. Eng., 2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection.
CoRR, 2024
An Experience Report on Modeling Software Process in Industrial Context: Challenges and Solutions.
Proceedings of the 2024 International Conference on Software and Systems Processes, 2024
Fine-SE: Integrating Semantic Features and Expert Features for Software Effort Estimation.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
IEEE Syst. J., September, 2023
Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation.
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the IEEE/ACM International Conference on Software and System Processes, 2023
2022
Memristive Recurrent Neural Network Circuit for Fast Solving Equality-Constrained Quadratic Programming With Parallel Operation.
IEEE Internet Things J., 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
Quality Assessment in Systematic Literature Reviews: A Software Engineering Perspective.
Inf. Softw. Technol., 2021
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021
2020
An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020