Deep Learning for Just-in-Time Defect Prediction. - Xinli Yang; David Lo 001; Xin Xia 001; Yun Zhang 011; Jianling Sun (QRS, 2015)

Automated Identification of High Impact Bug Reports Leveraging Imbalanced Learning Strategies. - Xinli Yang; David Lo 001; Qiao Huang; Xin Xia 001; Jianling Sun (COMPSAC, 2016)

Condensing Class Diagrams With Minimal Manual Labeling Cost. - Xinli Yang; David Lo 001; Xin Xia 001; Jianling Sun (COMPSAC, 2016)

Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. - Xinli Yang; David Lo 001; Xin Xia 001; Lingfeng Bao; Jianling Sun (ISSRE, 2016)

What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts. - Xinli Yang; David Lo 001; Xin Xia 001; Zhiyuan Wan; Jian-Ling Sun (J. Comput. Sci. Technol., 2016)

Facial Expression Recognition Algorithm Based on CNN and LBP Feature Fusion. - Xinli Yang; Ming Li; Shilin Zhao (ICRAI, 2017)

Robust Object Tracking Based on Collaborative Sparse Representation of Multifeature. - Shilin Zhao; Ming Li; Xinli Yang (ICRAI, 2017)

Characterizing malicious Android apps by mining topic-specific data flow signatures. - Xinli Yang; David Lo 001; Li Li 029; Xin Xia 001; Tegawendé F. Bissyandé; Jacques Klein (Inf. Softw. Technol., 2017)

TLEL: A two-layer ensemble learning approach for just-in-time defect prediction. - Xinli Yang; David Lo 001; Xin Xia 001; Jianling Sun (Inf. Softw. Technol., 2017)

High-Impact Bug Report Identification with Imbalanced Learning Strategies. - Xinli Yang; David Lo 001; Xin Xia 001; Qiao Huang; Jian-Ling Sun (J. Comput. Sci. Technol., 2017)

A Comprehensive Taxonomy for Prediction Models in Software Engineering. - Xinli Yang; Jingjing Liu; Denghui Zhang (Inf., 2023)