Analysis of the Runtime Linux Operating System as a Complex Weighted Network. - Haoqin Wang; Guanping Xiao (SATE, 2016)

The Automatic Classification of Fault Trigger Based Bug Report. - Xiaoting Du; Zheng Zheng 001; Guanping Xiao; Beibei Yin (ISSRE Workshops, 2017)

Experience Report: Fault Triggers in Linux Operating System: from Evolution Perspective. - Guanping Xiao; Zheng Zheng 001; Beibei Yin; Kishor S. Trivedi; Xiaoting Du; Kai-Yuan Cai (ISSRE, 2017)

An Empirical Study of Fault Triggers in the Linux Operating System: An Evolutionary Perspective. - Guanping Xiao; Zheng Zheng 001; Beibei Yin; Kishor S. Trivedi; Xiaoting Du; Kai-Yuan Cai (IEEE Trans. Reliab., 2019)

An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. - Yanxin Zhang; Guanping Xiao; Zheng Zheng 001; Tianqing Zhu; Ivor W. Tsang; Yulei Sui (APSEC, 2020)

Fault Triggers in the TensorFlow Framework: An Experience Report. - Xiaoting Du; Guanping Xiao; Yulei Sui (ISSRE, 2020)

HINDBR: Heterogeneous Information Network Based Duplicate Bug Report Prediction. - Guanping Xiao; Xiaoting Du; Yulei Sui; Tao Yue (ISSRE, 2020)

Cross-project bug type prediction based on transfer learning. - Xiaoting Du; Zenghui Zhou; Beibei Yin; Guanping Xiao (Softw. Qual. J., 2020)

An Empirical Study of Regression Bug Chains in Linux. - Guanping Xiao; Zheng Zheng 001; Bo Jiang 001; Yulei Sui (IEEE Trans. Reliab., 2020)

Nondeterministic Impact of CPU Multithreading on Training Deep Learning Systems. - Guanping Xiao; Jun Liu; Zheng Zheng 001; Yulei Sui (ISSRE, 2021)

An exploratory study of autopilot software bugs in unmanned aerial vehicles. - Dinghua Wang; Shuqing Li 001; Guanping Xiao; Yepang Liu 001; Yulei Sui (ESEC/SIGSOFT FSE, 2021)

Enhancing Traceability Link Recovery with Unlabeled Data. - Jianfei Zhu; Guanping Xiao; Zheng Zheng 001; Yulei Sui (ISSRE, 2022)

DeepSIM: Deep Semantic Information-Based Automatic Mandelbug Classification. - Xiaoting Du; Zheng Zheng 001; Guanping Xiao; Zenghui Zhou; Kishor S. Trivedi (IEEE Trans. Reliab., 2022)

Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study. - Huashan Lei; Shuai Zhang 046; Jun Wang 167; Guanping Xiao; Yepang Liu 001; Yulei Sui (ISSRE, 2023)

Compatibility Issues in Deep Learning Systems: Problems and Opportunities. - Jun Wang 167; Guanping Xiao; Shuai Zhang 046; Huashan Lei; Yepang Liu 001; Yulei Sui (ESEC/SIGSOFT FSE, 2023)

Replication Package for "Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study". - Huashan Lei; Shuai Zhang 046; Jun Wang 167; Guanping Xiao; Yepang Liu 001; Yulei Sui (Zenodo, 2023)

Replication Package for "Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study". - Huashan Lei; Shuai Zhang 046; Jun Wang 167; Guanping Xiao; Yepang Liu 001; Yulei Sui (Zenodo, 2023)

Replication Package for "Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study". - Huashan Lei; Shuai Zhang 046; Jun Wang 167; Guanping Xiao; Yepang Liu 001; Yulei Sui (Zenodo, 2023)

Replication Package for "Compatibility Issues in Deep Learning Systems: Problems and Opportunities". - Jun Wang 167; Guanping Xiao; Shuai Zhang 046; Huashan Lei; Yepang Liu 001; Yulei Sui (Zenodo, 2023)

Replication Package for "Compatibility Issues in Deep Learning Systems: Problems and Opportunities". - Jun Wang 167; Guanping Xiao; Shuai Zhang 046; Huashan Lei; Yepang Liu 001; Yulei Sui (Zenodo, 2023)

An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. - Dinghua Wang; Shuqing Li 001; Guanping Xiao; Yepang Liu 001; Yulei Sui; Pinjia He; Michael R. Lyu (ICSE, 2024)

An Exploratory Evaluation of Large Language Models Using Empirical Software Engineering Tasks. - Wenjun Liang; Guanping Xiao (Internetware, 2024)

Coding Pitfalls: Demystifying the Potential API Compatibility Risk of Variadic Parameters in Python. - Shuai Zhang 046; Gangqiang He; Guanping Xiao (ISSRE (Workshops), 2024)

PCART: Automated Repair of Python API Parameter Compatibility Issues. - Shuai Zhang 046; Guanping Xiao; Jun Wang 167; Huashan Lei; Yepang Liu 001; Zheng Zheng 001 (CoRR, 2024)

Deep semi-supervised learning for recovering traceability links between issues and commits. - Jianfei Zhu; Guanping Xiao; Zheng Zheng 001; Yulei Sui (J. Syst. Softw., 2024)

PCREQ: Automated Inference of Compatible Requirements for Python Third-party Library Upgrades. - Huashan Lei; Guanping Xiao; Yepang Liu 001; Zheng Zheng 001 (CoRR, 2025)