Zhou Xu
Orcid: 0000-0003-3307-2994Affiliations:
- Chongqing University, School of Big Data and Software Engineering, China
- Wuhan University, School of Computer Science, China (PhD 2019)
- The Hong Kong Polytechnic University, Department of Computing (former)
According to our database1,
Zhou Xu
authored at least 62 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network.
World Wide Web (WWW), July, 2023
Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks.
Inf. Softw. Technol., June, 2023
IET Softw., April, 2023
CLG-Trans: Contrastive learning for code summarization via graph attention-based transformer.
Sci. Comput. Program., March, 2023
The impact of class imbalance techniques on crashing fault residence prediction models.
Empir. Softw. Eng., March, 2023
Java Code Clone Detection by Exploiting Semantic and Syntax Information From Intermediate Code-Based Graph.
IEEE Trans. Reliab., 2023
An empirical study of the impact of log parsers on the performance of log-based anomaly detection.
Empir. Softw. Eng., 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
2022
IET Softw., December, 2022
IEEE Trans. Software Eng., 2022
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding.
IEEE Trans. Reliab., 2022
IEEE Geosci. Remote. Sens. Lett., 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
PRHAN: Automated Pull Request Description Generation Based on Hybrid Attention Network.
J. Syst. Softw., 2022
A compositional model for effort-aware Just-In-Time defect prediction on android apps.
IET Softw., 2022
BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization.
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022
2021
Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps.
IEEE Trans. Reliab., 2021
Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks.
IEEE Trans. Reliab., 2021
A comprehensive comparative study of clustering-based unsupervised defect prediction models.
J. Syst. Softw., 2021
A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models.
Inf. Softw. Technol., 2021
Feature selection and embedding based cross project framework for identifying crashing fault residence.
Inf. Softw. Technol., 2021
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
DG-Trans: Automatic Code Summarization via Dynamic Graph Attention-based Transformer.
Proceedings of the 21st IEEE International Conference on Software Quality, 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
Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
2020
IEEE Trans. Reliab., 2020
IEEE Trans. Image Process., 2020
J. Syst. Softw., 2020
J. Syst. Softw., 2020
All your app links are belong to us: understanding the threats of instant apps based attacks.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
2019
J. Syst. Softw., 2019
TSTSS: A two-stage training subset selection framework for cross version defect prediction.
J. Syst. Softw., 2019
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning.
J. Comput. Sci. Technol., 2019
Software defect prediction based on kernel PCA and weighted extreme learning machine.
Inf. Softw. Technol., 2019
Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals.
Int. J. Pattern Recognit. Artif. Intell., 2019
IEICE Trans. Inf. Syst., 2019
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019
MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019
2018
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning.
IEEE Access, 2018
Cross-version defect prediction via hybrid active learning with kernel principal component analysis.
Proceedings of the 25th International Conference on Software Analysis, 2018
Cross version defect prediction with representative data via sparse subset selection.
Proceedings of the 26th Conference on Program Comprehension, 2018
2017
An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017
2016
MICHAC: Defect Prediction via Feature Selection Based on Maximal Information Coefficient with Hierarchical Agglomerative Clustering.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016
The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016