Zhou Xu - RankMe

64 papers A* 1A 16B 1C 6Misc 1Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Erratum to "Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks". IEEE Trans. Reliab. Sen Fang, Youshuai Tan, Tao Zhang, Zhou Xu, Hui Liu
2023	J	`jnl`	An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2023	J	`jnl`	CLG-Trans: Contrastive learning for code summarization via graph attention-based transformer. Sci. Comput. Program. Jianwei Zeng, Yutong He, Tao Zhang, Zhou Xu, Qiang Han
2023	J	`jnl`	Detecting multi-type self-admitted technical debt with generative adversarial network-based neural networks. Inf. Softw. Technol. Jiaojiao Yu, Zhou Xu, Xiao Liu, Jin Liu, Zhiwen Xie, Kunsong Zhao
2023	A	`conf`	Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification. SANER Kunsong Zhao, Jin Liu, Zhou Xu, Xiao Liu, Lei Xue, Zhiwen Xie, Yuxuan Zhou, Xin Wang
2023	J	`jnl`	Java Code Clone Detection by Exploiting Semantic and Syntax Information From Intermediate Code-Based Graph. IEEE Trans. Reliab. Dawei Yuan, Sen Fang, Tao Zhang, Zhou Xu, Xiapu Luo
2023	J	`jnl`	Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network. World Wide Web (WWW) Xin Wang, Xiao Liu, Hao Wu, Jin Liu, Xiaomei Chen, Zhou Xu
2023	J	`jnl`	MetaFL: Metamorphic fault localisation using weakly supervised deep learning. IET Softw. Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang
2023	J	`jnl`	The impact of class imbalance techniques on crashing fault residence prediction models. Empir. Softw. Eng. Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung
2022	A	`conf`	A Naming Pattern Based Approach for Method Name Recommendation. ISSRE Yanping Yang, Ling Xu, Meng Yan, Zhou Xu, Zhongyang Deng
2022	J	`jnl`	A compositional model for effort-aware Just-In-Time defect prediction on android apps. IET Softw. Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino
2022	J	`jnl`	An unsupervised cross project model for crashing fault residence identification. IET Softw. Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan
2022	A	`conf`	BCL-FL: A Data Augmentation Approach with Between-Class Learning for Fault Localization. SANER Yan Lei, Chunyan Liu, Huan Xie, Sheng Huang, Meng Yan, Zhou Xu
2022	J	`jnl`	DeepDT: Generative Adversarial Network for High-Resolution Climate Prediction. IEEE Geosci. Remote. Sens. Lett. Jianxin Cheng, Jin Liu, Qiuming Kuang, Zhou Xu, Chenkai Shen, Wang Liu, Kang Zhou
2022	J	`jnl`	Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding. IEEE Trans. Reliab. Zhou Xu, Kunsong Zhao, Tao Zhang, Chunlei Fu, Meng Yan, Zhiwen Xie, Xiaohong Zhang, Gemma Catolino
2022	J	`jnl`	Exploiting gated graph neural network for detecting and explaining self-admitted technical debts. J. Syst. Softw. Jiaojiao Yu, Kunsong Zhao, Jin Liu, Xiao Liu, Zhou Xu, Xin Wang
2022	J	`jnl`	Feature-FL: Feature-Based Fault Localization. IEEE Trans. Reliab. Yan Lei, Huan Xie, Tao Zhang, Meng Yan, Zhou Xu, Chengnian Sun
2022	A	`conf`	Fine-grained Co-Attentive Representation Learning for Semantic Code Search. SANER Zhongyang Deng, Ling Xu, Chao Liu, Meng Yan, Zhou Xu, Yan Lei
2022	A	`conf`	One step further: evaluating interpreters using metamorphic testing. ISSTA Ming Fan, Jiali Wei, Wuxia Jin, Zhou Xu, Wenying Wei, Ting Liu
2022	J	`jnl`	PRHAN: Automated Pull Request Description Generation Based on Hybrid Attention Network. J. Syst. Softw. Sen Fang, Tao Zhang, Youshuai Tan, Zhou Xu, Zhi-Xin Yuan, Ling-Ze Meng
2022	J	`jnl`	XDebloat: Towards Automated Feature-Oriented App Debloating. IEEE Trans. Software Eng. Yutian Tang, Hao Zhou, Xiapu Luo, Ting Chen, Haoyu Wang, Zhou Xu, Yan Cai
2021	J	`jnl`	A comprehensive comparative study of clustering-based unsupervised defect prediction models. J. Syst. Softw. Zhou Xu, Li Li, Meng Yan, Jin Liu, Xiapu Luo, John Grundy, Yifeng Zhang, Xiaohong Zhang
2021	J	`jnl`	A comprehensive investigation of the impact of feature selection techniques on crashing fault residence prediction models. Inf. Softw. Technol. Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Dan Yang, Wei Li
2021	A	`conf`	Contextual-Semantic-Aware Linkable Knowledge Prediction in Stack Overflow via Self-Attention. ISSRE Zhaolin Luo, Ling Xu, Zhou Xu, Meng Yan, Yan Lei, Can Li
2021	C	`conf`	DG-Trans: Automatic Code Summarization via Dynamic Graph Attention-based Transformer. QRS Jianwei Zeng, Tao Zhang, Zhou Xu
2021	J	`jnl`	Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks. IEEE Trans. Reliab. Sen Fang, Youshuai Tan, Tao Zhang, Zhou Xu, Hui Liu
2021	J	`jnl`	Feature selection and embedding based cross project framework for identifying crashing fault residence. Inf. Softw. Technol. Zhou Xu, Tao Zhang, Jacky Keung, Meng Yan, Xiapu Luo, Xiaohong Zhang, Ling Xu, Yutian Tang
2021	Misc	`conf`	Just-in-time defect prediction for Android apps via imbalanced deep learning model. SAC Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino
2021	A	`conf`	Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. ICPC Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
2021	J	`jnl`	Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set. CoRR Kunsong Zhao, Jin Liu, Zhou Xu, Li Li, Meng Yan, Jiaojiao Yu, Yuxuan Zhou
2021	J	`jnl`	Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps. IEEE Trans. Reliab. Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang, Meng Yan
2021	A	`conf`	Two-Stage Attention-Based Model for Code Search with Textual and Structural Features. SANER Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, Zhou Xu
2020	—	`conf`	All your app links are belong to us: understanding the threats of instant apps based attacks. ESEC/SIGSOFT FSE Yutian Tang, Yulei Sui, Haoyu Wang, Xiapu Luo, Hao Zhou, Zhou Xu
2020	B	`conf`	Blocking Bug Prediction Based on XGBoost with Enhanced Features. COMPSAC Xiaoyun Cheng, Naming Liu, Lin Guo, Zhou Xu, Tao Zhang
2020	J	`jnl`	Bug severity prediction using question-and-answer pairs from Stack Overflow. J. Syst. Softw. Youshuai Tan, Sijie Xu, Zhaowei Wang, Tao Zhang, Zhou Xu, Xiapu Luo
2020	A	`conf`	Deep Learning Based Valid Bug Reports Determination and Explanation. ISSRE Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei
2020	J	`jnl`	Feature Location Benchmark for Decomposing and Reusing Android Apps. CoRR Yutian Tang, Hao Zhou, Zhou Xu, Xiapu Luo, Yan Cai, Tao Zhang
2020	J	`jnl`	Group sparse additive machine with average top-k loss. Neurocomputing Peipei Yuan, Xinge You, Hong Chen, Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing, Zhenyu He
2020	J	`jnl`	Imbalanced metric learning for crashing fault residence prediction. J. Syst. Softw. Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang
2020	A	`conf`	Improving Log-Based Anomaly Detection with Component-Aware Analysis. ICSME Kun Yin, Meng Yan, Ling Xu, Zhou Xu, Zhao Li, Dan Yang, Xiaohong Zhang
2020	J	`jnl`	Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. IEEE Trans. Reliab. Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui
2020	—	`conf`	Interpretation Area-Guided Detection of Adversarial Samples. QRS Companion Jiali Wei, Ming Fan, Xi Xu, Ang Jia, Zhou Xu, Lei Xue
2020	J	`jnl`	Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
2020	C	`conf`	STAN: Towards Describing Bytecodes of Smart Contract. QRS Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu
2020	J	`jnl`	STAN: Towards Describing Bytecodes of Smart Contract. CoRR Xiaoqi Li, Ting Chen, Xiapu Luo, Tao Zhang, Le Yu, Zhou Xu
2020	C	`conf`	Simplified Deep Forest Model based Just-In-Time Defect Prediction for Android Mobile Apps. QRS Kunsong Zhao, Zhou Xu, Tao Zhang, Yutian Tang
2019	J	`jnl`	A Hybrid Feature Selection Method for Software Fault Prediction. IEICE Trans. Inf. Syst. Yiheng Jian, Xiao Yu, Zhou Xu, Ziyi Ma
2019	A	`conf`	An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction. SANER Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu
2019	J	`jnl`	Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning. J. Comput. Sci. Technol. Zhou Xu, Shuai Pang, Tao Zhang, Xiapu Luo, Jin Liu, Yutian Tang, Xiao Yu, Lei Xue
2019	A*	`conf`	Demystifying Application Performance Management Libraries for Android. ASE Yutian Tang, Xian Zhan, Hao Zhou, Xiapu Luo, Zhou Xu, Yajin Zhou, Qiben Yan
2019	A	`conf`	Identifying Crashing Fault Residence Based on Cross Project Model. ISSRE Zhou Xu, Tao Zhang, Yifeng Zhang, Yutian Tang, Jin Liu, Xiapu Luo, Jacky Keung, Xiaohui Cui
2019	J	`jnl`	LDFR: Learning deep feature representation for software defect prediction. J. Syst. Softw. Zhou Xu, Shuai Li, Jun Xu, Jin Liu, Xiapu Luo, Yifeng Zhang, Tao Zhang, Jacky Keung, Yutian Tang
2019	J	`jnl`	Labelling issue reports in mobile apps. IET Softw. Tao Zhang, Haoming Li, Zhou Xu, Jian Liu, Rubing Huang, Yiran Shen
2019	C	`conf`	MVSE: Effort-Aware Heterogeneous Defect Prediction via Multiple-View Spectral Embedding. QRS Zhou Xu, Sizhe Ye, Tao Zhang, Zhen Xia, Shuai Pang, Yong Wang, Yutian Tang
2019	J	`jnl`	Software defect prediction based on kernel PCA and weighted extreme learning machine. Inf. Softw. Technol. Zhou Xu, Jin Liu, Xiapu Luo, Zijiang Yang, Yifeng Zhang, Peipei Yuan, Yutian Tang, Tao Zhang
2019	J	`jnl`	TSTSS: A two-stage training subset selection framework for cross version defect prediction. J. Syst. Softw. Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung
2019	J	`jnl`	Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals. Int. J. Pattern Recognit. Artif. Intell. Yinghao Zhang, Xiaoyan Deng, Zhou Xu, Peipei Yuan
2018	A	`conf`	Cross version defect prediction with representative data via sparse subset selection. ICPC Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu
2018	A	`conf`	Cross-version defect prediction via hybrid active learning with kernel principal component analysis. SANER Zhou Xu, Jin Liu, Xiapu Luo, Tao Zhang
2018	J	`jnl`	HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning. IEEE Access Zhou Xu, Peipei Yuan, Tao Zhang, Yutian Tang, Shuai Li, Zhen Xia
2017	C	`conf`	An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data. SEKE Zhou Xu, Jin Liu, Zhen Xia, Peipei Yuan
2016	C	`conf`	Developer Recommendation with Awareness of Accuracy and Cost. SEKE Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu
2016	A	`conf`	MICHAC: Defect Prediction via Feature Selection Based on Maximal Information Coefficient with Hierarchical Agglomerative Clustering. SANER Zhou Xu, Jifeng Xuan, Jin Liu, Xiaohui Cui
2016	A	`conf`	The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison. ISSRE Zhou Xu, Jin Liu, Zijiang Yang, Gege An, Xiangyang Jia