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2020 – today
- 2024
[j23]Wentao Wu, Shihai Wang, Bin Liu, Yuanxun Shao, Wandong Xie:
A novel software defect prediction approach via weighted classification based on association rule mining. Eng. Appl. Artif. Intell. 129: 107622 (2024)- [j22]Zhe Liu
, Shihai Wang, Bin Liu, Rui Kang:
Optimal Release Policy for Software with Epistemic Uncertainty. J. Uncertain Syst. 17(3): 2450007:1-2450007:29 (2024) - [j21]Yujie Ren, Bin Liu, Shihai Wang:
Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction. IEEE Trans. Reliab. 73(1): 741-756 (2024) - [c14]Meng Tian, Shihai Wang, Wentao Wu, Wandong Xie:
A Novel Approach for Software Defect Prediction Through Relational Association Rules Based on Cost-Sensitive Learning. QRS Companion 2024: 880-886 - [c13]Tengfei Shi, Shihai Wang, Haoran Li, Shudi Guo, Yu Liu:
Generating Adversarial Samples Based on the Attack Robust Training Model. QRS Companion 2024: 896-901 - [c12]Yingxian Guo, Shihai Wang, Dong An, Yu Luo:
StasogFL: A Fault Localization Method Based on Statement Association Graph. QRS Companion 2024: 902-909 - [c11]Wentao Wu, Shihai Wang, Yuanxun Shao, Wandong Xie:
Software fault localization based on eigenvector centrality in complex network theory. QRS Companion 2024: 934-939 - 2023
- [j20]Haonan Tong, Wei Lu, Weiwei Xing, Shihai Wang:
ARRAY: Adaptive triple feature-weighted transfer Naive Bayes for cross-project defect prediction. J. Syst. Softw. 202: 111721 (2023) - 2022
- [j19]Haonan Tong, Wei Lu, Weiwei Xing, Bin Liu, Shihai Wang:
SHSE: A subspace hybrid sampling ensemble method for software defect number prediction. Inf. Softw. Technol. 142: 106747 (2022) - [j18]Can Cui, Bin Liu, Shihai Wang:
WIFLF: An approach independent of the target project for cross-project defect prediction. J. Softw. Evol. Process. 34(12) (2022) - [c10]Mingxing Zhang, Shihai Wang, Weiguo Qiu:
A Software Multi-fault Locating Technique based on Space Shrinkage. DSA 2022: 853-858 - [c9]Haoran Li, Shihai Wang, Tengfei Shi, Xinyue Fang, Jian Chen:
TSDTest: A Efficient Coverage Guided Two-Stage Testing for Deep Learning Systems. QRS Companion 2022: 173-178 - [c8]Dong An, Shihai Wang, Liandie Zhu, Xunli Yang, Xiaobo Yan:
Prefilter: A Fault Localization Method using Unlabelled Test Cases based on K-Means Clustering and Similarity. QRS Companion 2022: 263-269 - [c7]Wentao Wu, Shihai Wang, Yuanxun Shao, Mingxing Zhang, Wandong Xie:
A Software Defect Prediction Classifier based on Three Minimum Support Threshold Association Rule Mining. QRS Companion 2022: 278-282 - [c6]Mingxing Zhang, Shihai Wang, Wentao Wu, Weiguo Qiu, Wandong Xie:
A Software Multi-Fault Clustering Ensemble Technology. QRS Companion 2022: 352-358 - 2021
- [j17]Xiaobo Yan, Bin Liu, Shihai Wang, Dong An, Feng Zhu, Yelin Yang:
Efilter: An effective fault localization based on information entropy with unlabelled test cases. Inf. Softw. Technol. 134: 106543 (2021) - [j16]Xiaobo Yan, Bin Liu, Shihai Wang:
A Test Restoration Method based on Genetic Algorithm for effective fault localization in multiple-fault programs. J. Syst. Softw. 172: 110861 (2021) - [j15]Haonan Tong, Bin Liu, Shihai Wang:
Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 47(9): 1886-1906 (2021) - 2020
- [j14]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
Software defect prediction based on correlation weighted class association rule mining. Knowl. Based Syst. 196: 105742 (2020) - [c5]Shudi Guo, Shihai Wang, Bin Liu, Tengfei Shi:
KBAA: An adversarial example generation method for KBQA task. DSA 2020: 313-318
2010 – 2019
- 2019
- [j13]Xiaobo Yan, Bin Liu, Shihai Wang:
An Analysis on the Negative Effect of Multiple-Faults for Spectrum-Based Fault Localization. IEEE Access 7: 2327-2347 (2019) - [d1]Shihai Wang:
Datasets for Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction. IEEE DataPort, 2019
- [i1]Haonan Tong, Bin Liu, Shihai Wang, Qiuying Li:
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. CoRR abs/1901.08429 (2019) - 2018
- [j12]Rongbin Han, Shihai Wang, Bin Liu, Tingdi Zhao, Zhiao Ye:
A Novel Model-Based Dynamic Analysis Method for State Correlation With IMA Fault Recovery. IEEE Access 6: 22094-22107 (2018) - [j11]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
A novel software defect prediction based on atomic class-association rule mining. Expert Syst. Appl. 114: 237-254 (2018) - [j10]Haonan Tong, Bin Liu, Shihai Wang:
Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning. Inf. Softw. Technol. 96: 94-111 (2018) - [j9]Peng Xiao, Bin Liu, Shihai Wang:
Feedback-based integrated prediction: Defect prediction based on feedback from software testing process. J. Syst. Softw. 143: 159-171 (2018) - 2016
- [j8]Quan Zhang, Shihai Wang, Bin Liu:
Approach for integrated modular avionics reconfiguration modelling and reliability analysis based on AADL. IET Softw. 10(1): 18-25 (2016) - [j7]Xiaoxu Diao, Bin Liu, Shihai Wang:
A survey of avionics analysis and simulation based on AADL model. Int. J. Inf. Commun. Technol. 9(3): 282-299 (2016) - 2015
- [j6]Fuqun Huang, Bin Liu, Shihai Wang, Qiuying Li:
The impact of software process consistency on residual defects. J. Softw. Evol. Process. 27(9): 625-646 (2015) - 2014
- [j5]Dongyi Ling, Shihai Wang, Bin Liu, Xiaoqi Xing:
Reliability Evaluation based on the AADL Architecture Model. J. Networks 9(10): 2721-2727 (2014) - [j4]Renqing Li, Shihai Wang:
An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets. J. Softw. 9(3): 697-704 (2014) - [c4]Shihai Wang, Zelin Li:
A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition. IJCNN 2014: 432-439 - 2012
- [j3]Shihai Wang, Shin-Jye Lee:
A Robust Boosting by using an Adaptive Weight Scheme. Cybern. Syst. 43(7): 549-566 (2012) - 2011
- [j2]Ke Chen, Shihai Wang:
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 129-143 (2011) - [c3]Shihai Wang, Geng Li:
An improvment of weight scheme on adaBoost in the presence of noisy data. ACPR 2011: 407-411 - 2010
- [j1]Shihai Wang, Tianxiang Yue:
HASM-AD algorithm based on the sequential least squares. Geo spatial Inf. Sci. 13(4): 285-293 (2010)
2000 – 2009
- 2007
- [c2]Shihai Wang, Ke Chen:
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN 2007: 355-360 - [c1]Ke Chen, Shihai Wang:
Regularized Boost for Semi-Supervised Learning. NIPS 2007: 281-288
Coauthor Index
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