Shihai Wang - RankMe

40 papers B 2Journal 26Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Image Preprocessing Algorithm for Doppler Wind Spectrum Inversion: Principle, Method, and Performance. IEEE Trans. Geosci. Remote. Sens. Mingguang Zhao, Zhibin Yu, Mengpei Li, Chunhui He, Shihai Wang
2025	J	`jnl`	Light over Heavy: Automated Performance Requirements Quantification with Linguistic Inducement. CoRR Shihai Wang, Tao Chen
2024	—	`conf`	A Novel Approach for Software Defect Prediction Through Relational Association Rules Based on Cost-Sensitive Learning. QRS Companion Meng Tian, Shihai Wang, Wentao Wu, Wandong Xie
2024	J	`jnl`	A novel software defect prediction approach via weighted classification based on association rule mining. Eng. Appl. Artif. Intell. Wentao Wu, Shihai Wang, Bin Liu, Yuanxun Shao, Wandong Xie
2024	—	`conf`	Generating Adversarial Samples Based on the Attack Robust Training Model. QRS Companion Tengfei Shi, Shihai Wang, Haoran Li, Shudi Guo, Yu Liu
2024	J	`jnl`	Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction. IEEE Trans. Reliab. Yujie Ren, Bin Liu, Shihai Wang
2024	J	`jnl`	Optimal Release Policy for Software with Epistemic Uncertainty. J. Uncertain Syst. Zhe Liu, Shihai Wang, Bin Liu, Rui Kang
2024	—	`conf`	Software fault localization based on eigenvector centrality in complex network theory. QRS Companion Wentao Wu, Shihai Wang, Yuanxun Shao, Wandong Xie
2024	—	`conf`	StasogFL: A Fault Localization Method Based on Statement Association Graph. QRS Companion Yingxian Guo, Shihai Wang, Dong An, Yu Luo
2023	J	`jnl`	ARRAY: Adaptive triple feature-weighted transfer Naive Bayes for cross-project defect prediction. J. Syst. Softw. Haonan Tong, Wei Lu, Weiwei Xing, Shihai Wang
2022	—	`conf`	A Software Defect Prediction Classifier based on Three Minimum Support Threshold Association Rule Mining. QRS Companion Wentao Wu, Shihai Wang, Yuanxun Shao, Mingxing Zhang, Wandong Xie
2022	—	`conf`	A Software Multi-Fault Clustering Ensemble Technology. QRS Companion Mingxing Zhang, Shihai Wang, Wentao Wu, Weiguo Qiu, Wandong Xie
2022	—	`conf`	A Software Multi-fault Locating Technique based on Space Shrinkage. DSA Mingxing Zhang, Shihai Wang, Weiguo Qiu
2022	—	`conf`	Prefilter: A Fault Localization Method using Unlabelled Test Cases based on K-Means Clustering and Similarity. QRS Companion Dong An, Shihai Wang, Liandie Zhu, Xunli Yang, Xiaobo Yan
2022	J	`jnl`	SHSE: A subspace hybrid sampling ensemble method for software defect number prediction. Inf. Softw. Technol. Haonan Tong, Wei Lu, Weiwei Xing, Bin Liu, Shihai Wang
2022	—	`conf`	TSDTest: A Efficient Coverage Guided Two-Stage Testing for Deep Learning Systems. QRS Companion Haoran Li, Shihai Wang, Tengfei Shi, Xinyue Fang, Jian Chen
2022	J	`jnl`	WIFLF: An approach independent of the target project for cross-project defect prediction. J. Softw. Evol. Process. Can Cui, Bin Liu, Shihai Wang
2021	J	`jnl`	A Test Restoration Method based on Genetic Algorithm for effective fault localization in multiple-fault programs. J. Syst. Softw. Xiaobo Yan, Bin Liu, Shihai Wang
2021	J	`jnl`	Efilter: An effective fault localization based on information entropy with unlabelled test cases. Inf. Softw. Technol. Xiaobo Yan, Bin Liu, Shihai Wang, Dong An, Feng Zhu, Yelin Yang
2021	J	`jnl`	Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. Haonan Tong, Bin Liu, Shihai Wang
2020	—	`conf`	KBAA: An adversarial example generation method for KBQA task. DSA Shudi Guo, Shihai Wang, Bin Liu, Tengfei Shi
2020	J	`jnl`	Software defect prediction based on correlation weighted class association rule mining. Knowl. Based Syst. Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li
2019	J	`jnl`	An Analysis on the Negative Effect of Multiple-Faults for Spectrum-Based Fault Localization. IEEE Access Xiaobo Yan, Bin Liu, Shihai Wang
2019	J	`jnl`	Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. CoRR Haonan Tong, Bin Liu, Shihai Wang, Qiuying Li
2018	J	`jnl`	A Novel Model-Based Dynamic Analysis Method for State Correlation With IMA Fault Recovery. IEEE Access Rongbin Han, Shihai Wang, Bin Liu, Tingdi Zhao, Zhiao Ye
2018	J	`jnl`	A novel software defect prediction based on atomic class-association rule mining. Expert Syst. Appl. Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li
2018	J	`jnl`	Feedback-based integrated prediction: Defect prediction based on feedback from software testing process. J. Syst. Softw. Peng Xiao, Bin Liu, Shihai Wang
2018	J	`jnl`	Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning. Inf. Softw. Technol. Haonan Tong, Bin Liu, Shihai Wang
2016	J	`jnl`	A survey of avionics analysis and simulation based on AADL model. Int. J. Inf. Commun. Technol. Xiaoxu Diao, Bin Liu, Shihai Wang
2016	J	`jnl`	Approach for integrated modular avionics reconfiguration modelling and reliability analysis based on AADL. IET Softw. Quan Zhang, Shihai Wang, Bin Liu
2015	J	`jnl`	The impact of software process consistency on residual defects. J. Softw. Evol. Process. Fuqun Huang, Bin Liu, Shihai Wang, Qiuying Li
2014	B	`conf`	A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition. IJCNN Shihai Wang, Zelin Li
2014	J	`jnl`	An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets. J. Softw. Renqing Li, Shihai Wang
2014	J	`jnl`	Reliability Evaluation based on the AADL Architecture Model. J. Networks Dongyi Ling, Shihai Wang, Bin Liu, Xiaoqi Xing
2012	J	`jnl`	A Robust Boosting by using an Adaptive Weight Scheme. Cybern. Syst. Shihai Wang, Shin-Jye Lee
2011	—	`conf`	An improvment of weight scheme on adaBoost in the presence of noisy data. ACPR Shihai Wang, Geng Li
2011	J	`jnl`	Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. Ke Chen, Shihai Wang
2010	J	`jnl`	HASM-AD algorithm based on the sequential least squares. Geo spatial Inf. Sci. Shihai Wang, Tianxiang Yue
2007	B	`conf`	Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN Shihai Wang, Ke Chen
2007	—	`conf`	Regularized Boost for Semi-Supervised Learning. NIPS Ke Chen, Shihai Wang