Shihai Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Ensemble Learning

Minimum Support Threshold

Defect Prediction

Association Rule Mining

Top Venues

Inf. Softw. Technol.

J. Syst. Softw.

J. Softw. Evol. Process.

Publications

Yujie Ren, Bin Liu, Shihai Wang
Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction. IEEE Trans. Reliab. 73 (1) (2024)
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 (2024)
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 (2023)
Mingxing Zhang, Shihai Wang, Wentao Wu, Weiguo Qiu, Wandong Xie
A Software Multi-Fault Clustering Ensemble Technology. QRS Companion (2022)
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)
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)
Mingxing Zhang, Shihai Wang, Weiguo Qiu
A Software Multi-fault Locating Technique based on Space Shrinkage. DSA (2022)
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)
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 (2022)
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)
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 (2021)
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 (2021)
Haonan Tong, Bin Liu, Shihai Wang
Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 47 (9) (2021)
Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li
Software defect prediction based on correlation weighted class association rule mining. Knowl. Based Syst. 196 (2020)
Shudi Guo, Shihai Wang, Bin Liu, Tengfei Shi
KBAA: An adversarial example generation method for KBQA task. DSA (2020)
Xiaobo Yan, Bin Liu, Shihai Wang
An Analysis on the Negative Effect of Multiple-Faults for Spectrum-Based Fault Localization. IEEE Access 7 (2019)
Haonan Tong, Bin Liu, Shihai Wang, Qiuying Li
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. CoRR (2019)
Haonan Tong, Bin Liu, Shihai Wang
Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning. Inf. Softw. Technol. 96 (2018)
Peng Xiao, Bin Liu, Shihai Wang
Feedback-based integrated prediction: Defect prediction based on feedback from software testing process. J. Syst. Softw. 143 (2018)
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 (2018)
Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li
A novel software defect prediction based on atomic class-association rule mining. Expert Syst. Appl. 114 (2018)
Xiaoxu Diao, Bin Liu, Shihai Wang
A survey of avionics analysis and simulation based on AADL model. Int. J. Inf. Commun. Technol. 9 (3) (2016)
Quan Zhang, Shihai Wang, Bin Liu
Approach for integrated modular avionics reconfiguration modelling and reliability analysis based on AADL. IET Softw. 10 (1) (2016)
Fuqun Huang, Bin Liu, Shihai Wang, Qiuying Li
The impact of software process consistency on residual defects. J. Softw. Evol. Process. 27 (9) (2015)
Shihai Wang, Zelin Li
A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition. IJCNN (2014)
Dongyi Ling, Shihai Wang, Bin Liu, Xiaoqi Xing
Reliability Evaluation based on the AADL Architecture Model. J. Networks 9 (10) (2014)
Renqing Li, Shihai Wang
An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets. J. Softw. 9 (3) (2014)
Shihai Wang, Shin-Jye Lee
A Robust Boosting by using an Adaptive Weight Scheme. Cybern. Syst. 43 (7) (2012)
Ke Chen, Shihai Wang
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. 33 (1) (2011)
Shihai Wang, Geng Li
An improvment of weight scheme on adaBoost in the presence of noisy data. ACPR (2011)
Shihai Wang, Tianxiang Yue
HASM-AD algorithm based on the sequential least squares. Geo spatial Inf. Sci. 13 (4) (2010)
Shihai Wang, Ke Chen
Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN (2007)
Ke Chen, Shihai Wang
Regularized Boost for Semi-Supervised Learning. NIPS (2007)