LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection. - Yongzheng Xie; Hongyu Zhang 002; Bo Zhang 057; Muhammad Ali Babar 001; Sha Lu (ICSOC, 2021)

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks. - Yongzheng Xie; Hongyu Zhang 002; Muhammad Ali Babar 001 (QRS, 2022)

LogGD: Detecting Anomalies from System Logs by Graph Neural Networks. - Yongzheng Xie; Hongyu Zhang 002; Muhammad Ali Babar 001 (CoRR, 2022)

An empirical study of developers' discussions about security challenges of different programming languages. - Roland Croft; Yongzheng Xie; Mansooreh Zahedi; Muhammad Ali Babar 001; Christoph Treude (Empir. Softw. Eng., 2022)

Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. - Roland Croft; Yongzheng Xie; Muhammad Ali Babar 001 (IEEE Trans. Software Eng., 2023)

LogSD: Detecting Anomalies from System Logs through Self-Supervised Learning and Frequency-Based Masking. - Yongzheng Xie; Hongyu Zhang 002; Muhammad Ali Babar 001 (Proc. ACM Softw. Eng., 2024)

Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies. - Yongzheng Xie; Hongyu Zhang 002; Muhammad Ali Babar 001 (WWW, 2025)