FECAR: A Feature Selection Framework for Software Defect Prediction. - Shulong Liu; Xiang Chen 005; Wangshu Liu; Jiaqiang Chen; Qing Gu 001; Daoxu Chen (COMPSAC, 2014)

A Two-Stage Data Preprocessing Approach for Software Fault Prediction. - Jiaqiang Chen; Shulong Liu; Wangshu Liu; Xiang Chen 005; Qing Gu 001; Daoxu Chen (SERE, 2014)

FECS: A Cluster Based Feature Selection Method for Software Fault Prediction with Noises. - Wangshu Liu; Shulong Liu; Qing Gu 001; Xiang Chen 005; Daoxu Chen (COMPSAC, 2015)

Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction. - Wangshu Liu; Shulong Liu; Qing Gu 001; Jiaqiang Chen; Xiang Chen 005; Daoxu Chen (IEEE Trans. Reliab., 2016)

FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction. - Chao Ni 001; Wangshu Liu; Qing Gu 001; Xiang Chen 005; Daoxu Chen (COMPSAC (1), 2017)

Improving Shape Retrieval by Fusing Generalized Mean First-Passage Time. - Danchen Zheng; Wangshu Liu; Hanxing Wang (ICONIP (4), 2017)

A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction. - Chao Ni 001; Wangshu Liu; Xiang Chen 005; Qing Gu 001; Daoxu Chen; George Q. Huang (J. Comput. Sci. Technol., 2017)

Learning contextual dissimilarity on tensor product graph for visual re-ranking. - Danchen Zheng; Wangshu Liu; Min Han 001 (Image Vis. Comput., 2018)

Improving Machine Learning-Based Code Smell Detection via Hyper-Parameter Optimization. - Lei Shen; Wangshu Liu; Xiang Chen 005; Qing Gu 001; Xuejun Liu (APSEC, 2020)

S2 LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy. - Wangshu Liu; Yongteng Zhu; Xiang Chen 005; Qing Gu 001; Xingya Wang; Shenkai Gu (APSEC, 2021)

SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation. - Wangshu Liu; Ye Yue; Xiang Chen 005; Qing Gu 001; Pengzhan Zhao; Xuejun Liu; Jianjun Zhao 001 (Inf. Softw. Technol., 2024)