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ORCIDZhou Xu 0003
Person information
- affiliation: Chongqing University, School of Big Data and Software Engineering, China
- affiliation (PhD 2019): Wuhan University, School of Computer Science, China
- affiliation (former): The Hong Kong Polytechnic University, Department of Computing
Other persons with the same name
- Zhou Xu — disambiguation page
- Zhou Xu 0001
![[0000-0003-1528-116X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1528-116X")
— Hong Kong Polytechnic University, Logistics and Maritime Studies, Hong Kong - Zhou Xu 0002 — National University of Defense Technology, College of Electronic Countermeasure, Hefei, China
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2020 – today
- 2023
[j34]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): 6 (2023)- [j33]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): 49 (2023) - [j32]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): 137-153 (2023) - [j31]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: 107190 (2023) - [j30]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: 102925 (2023) - [j29]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): 511-526 (2023) - [j28]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): 1295-1322 (2023) - [c27]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: 850 - 2022
- [j27]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): 259-278 (2022) - [j26]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): 630-646 (2022) - [j25]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: 111160 (2022) - [j24]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: 111219 (2022) - [j23]Kunsong Zhao, Jin Liu, Zhou Xu, Xiao Liu, Lei Xue, Zhiwen Xie, Yuxuan Zhou, Xin Wang:
Graph4Web: A relation-aware graph attention network for web service classification. J. Syst. Softw. 190: 111324 (2022) - [j22]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: 1-5 (2022) - [j21]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): 204-220 (2022) - [j20]Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun:
Feature-FL: Feature-Based Fault Localization. IEEE Trans. Reliab. 71(1): 264-283 (2022) - [j19]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): 4501-4520 (2022) - [c26]Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng:
A Naming Pattern Based Approach for Method Name Recommendation. ISSRE 2022: 344-354 - [c25]Ming Fan, Jiali Wei, Wuxia Jin, Zhou Xu, Wenying Wei, Ting Liu:
One step further: evaluating interpreters using metamorphic testing. ISSTA 2022: 327-339 - [c24]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: 289-300 - [c23]Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei:
Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER 2022: 396-407 - 2021
- [j18]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: 106452 (2021) - [j17]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: 106652 (2021) - [j16]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: 110862 (2021) - [j15]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): 563-574 (2021) - [j14]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): 848-859 (2021) - [c22]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: 115-126 - [c21]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: 242-252 - [c20]Jianwei Zeng, Tao Zhang, Zhou Xu:
DG-Trans: Automatic Code Summarization via Dynamic Graph Attention-based Transformer. QRS 2021: 786-795 - [c19]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: 1447-1454 - [c18]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: 342-353 - [i3]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 abs/2104.01768 (2021) - 2020
- [j13]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: 1-14 (2020) - [j12]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: 110567 (2020) - [j11]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: 110763 (2020) - [j10]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: 9316-9329 (2020) - [j9]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): 139-153 (2020) - [c17]Xiaoyun Cheng, Naming Liu, Lin Guo, Zhou Xu, Tao Zhang:
Blocking Bug Prediction Based on XGBoost with Enhanced Features. COMPSAC 2020: 902-911 - [c16]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: 667-671 - [c15]Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei:
Deep Learning Based Valid Bug Reports Determination and Explanation. ISSRE 2020: 184-194 - [c14]Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang:
Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps. QRS 2020: 222 - [c13]Jiali Wei, Ming Fan, Xi Xu, Ang Jia, Zhou Xu, Lei Xue:
Interpretation Area-Guided Detection of Adversarial Samples. QRS Companion 2020: 245-248 - [c12]Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu:
STAN: Towards Describing Bytecodes of Smart Contract. QRS 2020: 273-284 - [c11]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: 914-926 - [i2]Yutian Tang, Hao Zhou, Zhou Xu, Xiapu Luo, Yan Cai, Tao Zhang:
Feature Location Benchmark for Decomposing and Reusing Android Apps. CoRR abs/2005.04008 (2020) - [i1]Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu:
STAN: Towards Describing Bytecodes of Smart Contract. CoRR abs/2007.09696 (2020)
2010 – 2019
- 2019
- [j8]Yiheng Jian, Xiao Yu, Zhou Xu, Ziyi Ma:
A Hybrid Feature Selection Method for Software Fault Prediction. IEICE Trans. Inf. Syst. 102-D(10): 1966-1975 (2019) - [j7]Tao Zhang, Haoming Li, Zhou Xu, Jian Liu, Rubing Huang, Yiran Shen:
Labelling issue reports in mobile apps. IET Softw. 13(6): 528-542 (2019) - [j6]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): 1951002:1-1951002:17 (2019) - [j5]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: 182-200 (2019) - [j4]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): 1039-1062 (2019) - [j3]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: 59-78 (2019) - [j2]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) - [c10]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: 183-194 - [c9]Yutian Tang, Xian Zhan, Hao Zhou, Xiapu Luo, Zhou Xu, Yajin Zhou, Qiben Yan:
Demystifying Application Performance Management Libraries for Android. ASE 2019: 682-685 - [c8]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: 10-17 - [c7]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: 298-309 - 2018
- [j1]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: 57597-57613 (2018) - [c6]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: 132-143 - [c5]Zhou Xu, Jin Liu, Xiapu Luo, Tao Zhang:
Cross-version defect prediction via hybrid active learning with kernel principal component analysis. SANER 2018: 209-220 - 2017
- [c4]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: 191-196 - 2016
- [c3]Zhou Xu, Jin Liu, Zijiang Yang, Gege An, Xiangyang Jia:
The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison. ISSRE 2016: 309-320 - [c2]Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu:
Developer Recommendation with Awareness of Accuracy and Cost. SEKE 2016: 213-218 - [c1]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: 370-381
Coauthor Index
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