Kunsong Zhao

Orcid: 0000-0001-9886-0460

According to our database1, Kunsong Zhao authored at least 21 papers between 2020 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
Recasting Type Hints from WebAssembly Contracts.
Proc. ACM Softw. Eng., 2025

Automated Soundness and Completeness Vetting of Polygon zkEVM.
Proceedings of the 34th USENIX Security Symposium, 2025

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

DeepInfer: Deep Type Inference from Smart Contract Bytecode.
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

Effort-aware cross-project just-in-time defect prediction framework for mobile apps.
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

Just-in-time defect prediction for Android apps via imbalanced deep learning model.
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
Imbalanced metric learning for crashing fault residence prediction.
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


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