Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. - Zhuangbin Chen; Jinyang Liu 002; Wenwei Gu; Yuxin Su 001; Michael R. Lyu (CoRR, 2021)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2021)

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Michael R. Lyu (CoRR, 2023)

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2023)

Curvature-Invariant Adversarial Attacks for 3D Point Clouds. - Jianping Zhang 002; Wenwei Gu; Yizhan Huang; Zhihan Jiang; Weibin Wu 002; Michael R. Lyu (AAAI, 2024)

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. - Wenwei Gu; Xinying Sun; Jinyang Liu 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (ISSRE, 2024)

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. - Jinyang Liu 002; Wenwei Gu; Zhuangbin Chen; Yichen Li 003; Yuxin Su 001; Michael R. Lyu (CoRR, 2024)

Automated Defects Detection and Fix in Logging Statement. - Renyi Zhong; Yichen Li 003; Jinxi Kuang; Wenwei Gu; Yintong Huo; Michael R. Lyu (CoRR, 2024)

Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs. - Wenwei Gu; Jiazhen Gu; Renyi Zhong; Wenyu Zhang; Ming Li; Michael R. Lyu (DSN-S, 2025)

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. - Zhihan Jiang; Rui Ren; Guangba Yu; Yulun Wu; Wenwei Gu; Yichen Li 003; Yujie Huang; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (DSN-S, 2025)

ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems. - Wenwei Gu; Jiazhen Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Jinxi Kuang; Cong Feng; Yongqiang Yang; Michael R. Lyu (ICSE, 2025)

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis. - Wenwei Gu; Renyi Zhong; Jianping Zhang 002; Michael R. Lyu (CoRR, 2025)

Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2025)

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation. - Renyi Zhong; Yichen Li 003; Guangba Yu; Wenwei Gu; Jinxi Kuang; Yintong Huo; Michael R. Lyu (CoRR, 2025)

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems. - Wenwei Gu; Renyi Zhong; Guangba Yu; Xinying Sun; Jinyang Liu 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (CoRR, 2025)

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. - Renyi Zhong; Yintong Huo; Wenwei Gu; Jinxi Kuang; Zhihan Jiang; Guangba Yu; Yichen Li 003; David Lo 001; Michael R. Lyu (CoRR, 2025)