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Xiao Yu 0008
Person information
- affiliation: Wuhan University of Technology, School of Computer Science and Artificial Intelligence, Wuhan, China
Other persons with the same name
- Xiao Yu — disambiguation page
- Xiao Yu 0001 — Georgia Institute of Technology, Atlanta, GA, USA
- Xiao Yu 0002
— Xiamen University, Department of Automation, China (and 1 more)
- Xiao Yu 0003
- Xiao Yu 0004
- Xiao Yu 0005
- Xiao Yu 0006
- Xiao Yu 0007 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
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2020 – today
- 2024
- [j39]Xiao Yu
A multi-objective effort-aware defect prediction approach based on NSGA-II. Appl. Soft Comput. 149(Part A): 110941 (2024) - [j38]Meng Zhang
HyperED: A hierarchy-aware network based on hyperbolic geometry for event detection. Comput. Intell. 40(1) (2024) - [j37]Shuo Feng
Improving the undersampling technique by optimizing the termination condition for software defect prediction. Expert Syst. Appl. 235: 121084 (2024) - [j36]Peixin Yang, Lin Zhu, Yanjiao Zhang, Chuanxiang Ma, Liming Liu, Xiao Yu
On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction. Expert Syst. Appl. 245: 123041 (2024) - [j35]Xiao Yu
Improving effort-aware defect prediction by directly learning to rank software modules. Inf. Softw. Technol. 165: 107250 (2024) - [j34]Juan Li
Energy-Aware and Trust-Collaboration Cross-Domain Resource Allocation Algorithm for Edge-Cloud Workflows. IEEE Internet Things J. 11(4): 7249-7264 (2024) - [j33]Fengji Zhang
Data preparation for Deep Learning based Code Smell Detection: A systematic literature review. J. Syst. Softw. 216: 112131 (2024) - [j32]Kai Jia, Xiao Yu
PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems. J. Syst. Softw. 217: 112167 (2024) - [j31]Kai Jia, Xiao Yu, Chen Zhang, Wenzhi Xie, Dongdong Zhao, Jianwen Xiang:
TTAFPred: Prediction of time to aging failure for software systems based on a two-stream multi-scale features fusion network. Softw. Qual. J. 32(4): 1481-1513 (2024) - [j30]Xiaoxue Ma
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering. IEEE Trans. Ind. Informatics 20(2): 1687-1697 (2024) - [j29]Peng Zhang
Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do? ACM Trans. Softw. Eng. Methodol. 33(4): 86:1-86:32 (2024) - [c17]Xiao Yu
Practitioners' Expectations on Automated Test Generation. ISSTA 2024: 1618-1630 - [i8]Xiaoxue Ma, Huiqi Zou, Jacky Keung, Pinjia He, Yishu Li, Xiao Yu, Federica Sarro:
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations. CoRR abs/2405.03489 (2024) - [i7]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR abs/2405.12641 (2024) - [i6]Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu:
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review. CoRR abs/2406.19240 (2024) - [i5]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Where Are Large Language Models for Code Generation on GitHub? CoRR abs/2406.19544 (2024) - [i4]Fengji Zhang, Linquan Wu, Huiyu Bai, Guancheng Lin, Xiao Li, Xiao Yu, Yue Wang, Bei Chen, Jacky Keung:
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks. CoRR abs/2410.12381 (2024) - 2023
- [j28]Fuyang Li
The impact of feature selection techniques on effort-aware defect prediction: An empirical study. IET Softw. 17(2): 168-193 (2023) - [j27]Fuyang Li
Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'. IET Softw. 17(4): 472-495 (2023) - [j26]Xiao Yu
Finding the best learning to rank algorithms for effort-aware defect prediction. Inf. Softw. Technol. 157: 107165 (2023) - [j25]Jacky Wai Keung
ISSRE 2021 special section. Inf. Softw. Technol. 159: 107227 (2023) - [j24]Fengji Zhang
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer. J. Syst. Softw. 200: 111672 (2023) - [j23]Fuyang Li
On the relative value of imbalanced learning for code smell detection. Softw. Pract. Exp. 53(10): 1902-1927 (2023) - [j22]Geng Zhang
Query Path Generation via Bidirectional Reasoning for Multihop Question Answering From Knowledge Bases. IEEE Trans. Cogn. Dev. Syst. 15(3): 1183-1195 (2023) - [j21]Kai Jia
Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition. IEEE Trans. Emerg. Top. Comput. 11(3): 580-593 (2023) - [j20]Zhen Yang
On the Significance of Category Prediction for Code-Comment Synchronization. ACM Trans. Softw. Eng. Methodol. 32(2): 30:1-30:41 (2023) - [j19]Xiaoxue Ma
AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation. IEEE Trans. Reliab. 72(4): 1663-1677 (2023) - 2022
- [j18]Xiao Yu
Predicting the precise number of software defects: Are we there yet? Inf. Softw. Technol. 146: 106847 (2022) - [j17]Xiaoxue Ma
CASMS: Combining clustering with attention semantic model for identifying security bug reports. Inf. Softw. Technol. 147: 106906 (2022) - [j16]Fengji Zhang
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information. Inf. Softw. Technol. 148: 106922 (2022) - [c16]Kai Jia, Xiao Yu, Chen Zhang, Wenhua Hu, Dongdong Zhao, Jianwen Xiang:
The Impact of Software Aging and Rejuvenation on the User Experience for Android System. ISSRE 2022: 435-445 - [i3]Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky W. Keung:
Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer. CoRR abs/2208.11523 (2022) - 2021
- [j15]Zhen Yang
AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features. Appl. Soft Comput. 111: 107649 (2021) - [j14]Shuo Feng
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. Inf. Softw. Technol. 129: 106432 (2021) - [j13]Shuo Feng
Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction. Inf. Softw. Technol. 139: 106662 (2021) - [j12]Yizhou Chen, Heng Dai, Xiao Yu, Wenhua Hu, Zhiwen Xie, Cheng Tan:
Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer. Sensors 21(19): 6417 (2021) - [c15]Shuo Feng
ROCT: Radius-based Class Overlap Cleaning Technique to Alleviate the Class Overlap Problem in Software Defect Prediction. COMPSAC 2021: 228-237 - [c14]Mengting Liang, Dimeng Li, Bin Xu, Dongdong Zhao, Xiao Yu, Jianwen Xiang:
Within-Project Software Aging Defect Prediction Based on Active Learning. ISSRE Workshops 2021: 1-8 - [c13]Zhen Yang
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. ICPC 2021: 1-12 - [c12]Dimeng Li, Mengting Liang, Bin Xu, Xiao Yu, Junwei Zhou, Jianwen Xiang:
A Cross-Project Aging-Related Bug Prediction Approach Based on Joint Probability Domain Adaptation and k-means SMOTE. QRS Companion 2021: 350-358 - [c11]Jiqing Rao, Xiao Yu, Chen Zhang, Junwei Zhou, Jianwen Xiang:
Learning to rank software modules for effort-aware defect prediction. QRS Companion 2021: 372-380 - [c10]Yichi Zhang, Chun Xiao, Jing Chen, Xiao Yu, Shengwen Jing:
Research on Logic Control of Variable Transmission Ratio SBW based on Pan-Boolean Algebra. RobCE 2021: 54-58 - [e1]Zhi Jin, Xuandong Li, Jianwen Xiang, Leonardo Mariani, Ting Liu, Xiao Yu, Nahgmeh Ivaki:
32nd IEEE International Symposium on Software Reliability Engineering, ISSRE 2021, Wuhan, China, October 25-28, 2021. IEEE 2021, ISBN 978-1-6654-2587-2 [contents] - [i2]Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang:
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. CoRR abs/2103.07164 (2021) - [i1]Fengji Zhang, Jacky Keung, Xiao Yu, Zhiwen Xie, Zhen Yang, Caoyuan Ma, Zhimin Zhang:
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information. CoRR abs/2109.13073 (2021) - 2020
- [j11]Quan Zhang, Renyan Mu, Yue Hu, Lu Zhang, Xiao Yu:
The influence mechanism of organizational slack on CSR from the perspective of property heterogeneity: Evidence from China's intelligent manufacturing. J. Intell. Fuzzy Syst. 38(6): 7041-7052 (2020) - [j10]Xiao Yu, Jin Liu
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. IEEE Trans. Reliab. 69(1): 139-153 (2020) - [c9]Kwabena Ebo Bennin
Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance. QRS 2020: 53-59
2010 – 2019
- 2019
- [j9]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) - [j8]Zhou Xu, Shuai Pang, Tao Zhang
Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning. J. Comput. Sci. Technol. 34(5): 1039-1062 (2019) - [j7]Xiao Yu, Qing Li
Scalable and parallel sequential pattern mining using spark. World Wide Web 22(1): 295-324 (2019) - [c8]Xiao Yu, Kwabena Ebo Bennin
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction. SANER 2019: 298-309 - 2018
- [j6]Xiao Yu, Man Wu, Yiheng Jian, Kwabena Ebo Bennin
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning. Soft Comput. 22(10): 3461-3472 (2018) - 2017
- [j5]Xiao Yu, Jin Liu, Weiqiang Peng, Xingyu Peng:
Improving Cross-Company Defect Prediction with Data Filtering. Int. J. Softw. Eng. Knowl. Eng. 27(9-10): 1427-1438 (2017) - [j4]Xiao Yu, Jin Liu, Zijiang Yang, Xiao Liu
The Bayesian Network based program dependence graph and its application to fault localization. J. Syst. Softw. 134: 44-53 (2017) - [j3]Jin Liu, Xiao Yu, Zheng Xu, Kim-Kwang Raymond Choo
A cloud-based taxi trace mining framework for smart city. Softw. Pract. Exp. 47(8): 1081-1094 (2017) - [c7]Xiao Yu, Jin Liu, Zijiang Yang, Xiangyang Jia, Qi Ling, Sizhe Ye:
Learning from Imbalanced Data for Predicting the Number of Software Defects. ISSRE 2017: 78-89 - [c6]Xiao Yu, Man Wu, Yan Zhang, Mandi Fu:
Combing Data Filter and Data Sampling for Cross-Company Defect Prediction: An Empricial Study. SEKE 2017: 301-306 - [c5]Xiao Yu, Man Wu, Xiangyang Jia, Ye Liu:
A Reinforced Hungarian Algorithm for Task Allocation in Global Software Development. SEKE 2017: 386-391 - [c4]Xiao Yu, Peipei Zhou, Jiansheng Zhang, Jin Liu:
A Data Filtering Method Based on Agglomerative Clustering. SEKE 2017: 392-397 - 2016
- [j2]Jin Liu, Yiqiuzi Tian, Xiao Yu, Zijiang Yang, Xiangyang Jia, Chuanxiang Ma, Zheng Xu:
A Multi-Source Approach for Bug Triage. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1593-1604 (2016) - [j1]Yuehua Cheng, Jin Liu, Xiao Yu:
Online social trust reinforced personalized recommendation. Pers. Ubiquitous Comput. 20(3): 457-467 (2016) - [c3]Xiao Yu, Jin Liu, Zijiang James Yang, Xiao Liu
Bayesian Network Based Program Dependence Graph for Fault Localization. ISSRE Workshops 2016: 181-188 - [c2]Xiao Yu, Jin Liu, Mandi Fu, Chuanxiang Ma, Guoping Nie:
A Multi-Source TrAdaBoost Approach for Cross-Company Defect Prediction. SEKE 2016: 237-242 - 2015
- [c1]Xiao Yu, Jin Liu, Xiao Liu
A MapReduce Reinforced Distributed Sequential Pattern Mining Algorithm. ICA3PP (2) 2015: 183-197
Coauthor Index
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