Zhou Xu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 65

Top Topics

Principal Component Analysis

Defect Prediction

Feature Selection

Top Venues

J. Syst. Softw.

IEEE Trans. Reliab.

Publications

Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang
MetaFL: Metamorphic fault localisation using weakly supervised deep learning. IET Softw. 17 (2) (2023)
Xin Wang, Xiao Liu, Hao Wu, Jin Liu, Xiaomei Chen, Zhou Xu
Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network. World Wide Web (WWW) 26 (4) (2023)
Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. 28 (1) (2023)
Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung
The impact of class imbalance techniques on crashing fault residence prediction models. Empir. Softw. Eng. 28 (2) (2023)
Jianwei Zeng, Yutong He, Tao Zhang, Zhou Xu, Qiang Han
CLG-Trans: Contrastive learning for code summarization via graph attention-based transformer. Sci. Comput. Program. 226 (2023)
Kunsong Zhao, Jin Liu, Zhou Xu, Xiao Liu, Lei Xue, Zhiwen Xie, Yuxuan Zhou, Xin Wang
Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification. SANER (2023)
Jiaojiao Yu, Zhou Xu, Xiao Liu, Jin Liu, Zhiwen Xie, Kunsong Zhao
Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks. Inf. Softw. Technol. 158 (2023)
Dawei Yuan, Sen Fang, Tao Zhang, Zhou Xu, Xiapu Luo
Java Code Clone Detection by Exploiting Semantic and Syntax Information From Intermediate Code-Based Graph. IEEE Trans. Reliab. 72 (2) (2023)
Kunsong Zhao, Jin Liu, Zhou Xu, Xiao Liu, Lei Xue, Zhiwen Xie, Yuxuan Zhou, Xin Wang
: A relation-aware graph attention network for web service classification. J. Syst. Softw. 190 (2022)
Sen Fang, Tao Zhang, Youshuai Tan, Zhou Xu, Zhi-Xin Yuan, Ling-Ze Meng
PRHAN: Automated Pull Request Description Generation Based on Hybrid Attention Network. J. Syst. Softw. 185 (2022)
Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng
A Naming Pattern Based Approach for Method Name Recommendation. ISSRE (2022)
Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan
An unsupervised cross project model for crashing fault residence identification. IET Softw. 16 (6) (2022)
Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu
BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization. SANER (2022)
Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino
A compositional model for effort-aware Just-In-Time defect prediction on android apps. IET Softw. 16 (3) (2022)
Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei
Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER (2022)
Jiaojiao Yu, Kunsong Zhao, Jin Liu, Xiao Liu, Zhou Xu, Xin Wang
Exploiting gated graph neural network for detecting and explaining self-admitted technical debts. J. Syst. Softw. 187 (2022)
Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, Gemma Catolino
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Trans. Reliab. 71 (1) (2022)
Jianxin Cheng, Jin Liu, Qiuming Kuang, Zhou Xu, Chenkai Shen, Wang Liu, Kang Zhou
DeepDT: Generative Adversarial Network for High-Resolution Climate Prediction. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Ming Fan, JiaLi Wei, Wuxia Jin, Zhou Xu, Wenying Wei, Ting Liu
One step further: evaluating interpreters using metamorphic testing. ISSTA (2022)
Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun
Feature-FL: Feature-Based Fault Localization. IEEE Trans. Reliab. 71 (1) (2022)
Yutian Tang, Hao Zhou, Xiapu Luo, Ting Chen, Haoyu Wang, Zhou Xu, Yan Cai
XDebloat: Towards Automated Feature-Oriented App Debloating. IEEE Trans. Software Eng. 48 (11) (2022)
Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu
Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER (2021)
Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. ICPC (2021)
Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li
Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention. ISSRE (2021)
Zhou Xu, Tao Zhang, Jacky Keung, Meng Yan, Xiapu Luo, Xiaohong Zhang, Ling Xu, Yutian Tang
Feature selection and embedding based cross project framework for identifying crashing fault residence. Inf. Softw. Technol. 131 (2021)
Zhou Xu, Li Li, Meng Yan, Jin Liu, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang
A comprehensive comparative study of clustering-based unsupervised defect prediction models. J. Syst. Softw. 172 (2021)
Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, Wei Li
A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models. Inf. Softw. Technol. 139 (2021)
Jianwei Zeng, Tao Zhang, Zhou Xu
DG-Trans: Automatic Code Summarization via Dynamic Graph Attention-based Transformer. QRS (2021)
Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. CoRR (2021)
Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan
Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. IEEE Trans. Reliab. 70 (2) (2021)
Sen Fang, Youshuai Tan, Tao Zhang, Zhou Xu, Hui Liu
Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks. IEEE Trans. Reliab. 70 (2) (2021)
Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino
Just-in-time defect prediction for Android apps via imbalanced deep learning model. SAC (2021)
Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu
STAN: Towards Describing Bytecodes of Smart Contract. QRS (2020)
Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu
STAN: Towards Describing Bytecodes of Smart Contract. CoRR (2020)
Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. IEEE Trans. Reliab. 69 (1) (2020)
Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei
Deep Learning Based Valid Bug Reports Determination and Explanation. ISSRE (2020)
Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang
Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps. QRS (2020)
Xiaoyun Cheng, Naming Liu, Lin Guo, Zhou Xu, Tao Zhang
Blocking Bug Prediction Based on XGBoost with Enhanced Features. COMPSAC (2020)
Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang
Improving Log-Based Anomaly Detection with Component-Aware Analysis. ICSME (2020)
Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29 (2020)
Youshuai Tan, Sijie Xu, Zhaowei Wang, Tao Zhang, Zhou Xu, Xiapu Luo
Bug severity prediction using question-and-answer pairs from Stack Overflow. J. Syst. Softw. 165 (2020)
Yutian Tang, Hao Zhou, Zhou Xu, Xiapu Luo, Yan Cai, Tao Zhang
Feature Location Benchmark for Decomposing and Reusing Android Apps. CoRR (2020)
JiaLi Wei, Ming Fan, Xi Xu, Ang Jia, Zhou Xu, Lei Xue
Interpretation Area-Guided Detection of Adversarial Samples. QRS Companion (2020)
Yutian Tang, Yulei Sui, Haoyu Wang, Xiapu Luo, Hao Zhou, Zhou Xu
All your app links are belong to us: understanding the threats of instant apps based attacks. ESEC/SIGSOFT FSE (2020)
Peipei Yuan, Xinge You, Hong Chen, Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing, Zhenyu He
Group sparse additive machine with average top-k loss. Neurocomputing 395 (2020)
Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang
Imbalanced metric learning for crashing fault residence prediction. J. Syst. Softw. 170 (2020)
Zhou Xu, Tao Zhang, Yifeng Zhang, Yutian Tang, Jin Liu, Xiapu Luo, Jacky Keung, Xiaohui Cui
Identifying Crashing Fault Residence Based on Cross Project Model. ISSRE (2019)
Yiheng Jian, Xiao Yu, Zhou Xu, Ziyi Ma
A Hybrid Feature Selection Method for Software Fault Prediction. IEICE Trans. Inf. Syst. (10) (2019)
Yinghao Zhang, Xiaoyan Deng, Zhou Xu, Peipei Yuan
Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals. Int. J. Pattern Recognit. Artif. Intell. 33 (8) (2019)
Zhou Xu, Shuai Pang, Tao Zhang, Xiapu Luo, Jin Liu, Yutian Tang, Xiao Yu, Lei Xue
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning. J. Comput. Sci. Technol. 34 (5) (2019)
Zhou Xu, Jin Liu, Xiapu Luo, Zijiang Yang, Yifeng Zhang, Peipei Yuan, Yutian Tang, Tao Zhang
Software defect prediction based on kernel PCA and weighted extreme learning machine. Inf. Softw. Technol. 106 (2019)
Tao Zhang, Haoming Li, Zhou Xu, Jian Liu, Rubing Huang, Yiran Shen
Labelling issue reports in mobile apps. IET Softw. 13 (6) (2019)
Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang
Non-negative Sparse and Collaborative Representation for Pattern Classification. CoRR (2019)
Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction. SANER (2019)
Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung
TSTSS: A two-stage training subset selection framework for cross version defect prediction. J. Syst. Softw. 154 (2019)
Zhou Xu, Shuai Li, Jun Xu, Jin Liu, Xiapu Luo, Yifeng Zhang, Tao Zhang, Jacky Keung, Yutian Tang
LDFR: Learning deep feature representation for software defect prediction. J. Syst. Softw. 158 (2019)
Yutian Tang, Xian Zhan, Hao Zhou, Xiapu Luo, Zhou Xu, Yajin Zhou, Qiben Yan
Demystifying Application Performance Management Libraries for Android. ASE (2019)
Zhou Xu, Sizhe Ye, Tao Zhang, Zhen Xia, Shuai Pang, Yong Wang, Yutian Tang
MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding. QRS (2019)
Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu
Cross version defect prediction with representative data via sparse subset selection. ICPC (2018)
Zhou Xu, Peipei Yuan, Tao Zhang, Yutian Tang, Shuai Li, Zhen Xia
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning. IEEE Access 6 (2018)
Zhou Xu, Jin Liu, Xiapu Luo, Tao Zhang
Cross-version defect prediction via hybrid active learning with kernel principal component analysis. SANER (2018)
Zhou Xu, Jin Liu, Zhen Xia, Peipei Yuan
An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data. SEKE (2017)
Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu
Developer Recommendation with Awareness of Accuracy and Cost. SEKE (2016)
Zhou Xu, Jin Liu, Zijiang Yang, Gege An, Xiangyang Jia
The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison. ISSRE (2016)
Zhou Xu, Jifeng Xuan, Jin Liu, Xiaohui Cui
MICHAC: Defect Prediction via Feature Selection Based on Maximal Information Coefficient with Hierarchical Agglomerative Clustering. SANER (2016)