Kunsong Zhao
Orcid: 0000-0001-9886-0460
According to our database1,
Kunsong Zhao
authored at least 19 papers
between 2020 and 2024.
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Bibliography
2024
Question-Directed Reasoning With Relation-Aware Graph Attention Network for Complex Question Answering Over Knowledge Graph.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks.
Inf. Softw. Technol., June, 2023
The impact of class imbalance techniques on crashing fault residence prediction models.
Empir. Softw. Eng., March, 2023
Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification.
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
2022
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding.
IEEE Trans. Reliab., 2022
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment.
ACM Trans. Inf. Syst., 2022
<i>Graph4Web</i>: A relation-aware graph attention network for web service classification.
J. Syst. Softw., 2022
Exploiting gated graph neural network for detecting and explaining self-admitted technical debts.
J. Syst. Softw., 2022
A compositional model for effort-aware Just-In-Time defect prediction on android apps.
IET Softw., 2022
Frontiers Comput. Sci., 2022
2021
Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps.
IEEE Trans. Reliab., 2021
A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models.
Inf. Softw. Technol., 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021
2020
J. Syst. Softw., 2020
Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment.
Proceedings of the 28th International Conference on Computational Linguistics, 2020