Tools and benchmarks for automated log parsing. - Jieming Zhu; Shilin He; Jinyang Liu 002; Pinjia He; Qi Xie; Zibin Zheng; Michael R. Lyu (ICSE (SEIP), 2019)

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. - Jinyang Liu 002; Jieming Zhu; Shilin He; Pinjia He; Zibin Zheng; Michael R. Lyu (ASE, 2019)

Ensembled CTR Prediction via Knowledge Distillation. - Jieming Zhu; Jinyang Liu 002; Weiqi Li; Jincai Lai; Xiuqiang He 001; Liang Chen 001; Zibin Zheng (CIKM, 2020)

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CoRR, 2020)

Open Benchmarking for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CIKM, 2021)

Graph-based Incident Aggregation for Large-Scale Online Service Systems. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xuemin Wen; Xiao Ling; Yongqiang Yang; Michael R. Lyu (ASE, 2021)

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)

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xiao Ling; Michael R. Lyu (ICSE, 2022)

BARS: Towards Open Benchmarking for Recommender Systems. - Jieming Zhu; Quanyu Dai; Liangcai Su; Rong Ma; Jinyang Liu 002; Guohao Cai; Xi Xiao; Rui Zhang 003 (SIGIR, 2022)

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xiao Ling; Yongqiang Yang; Michael R. Lyu (CoRR, 2022)

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. - Yichen Li 003; Xu Zhang 024; Shilin He; Zhuangbin Chen; Yu Kang 006; Jinyang Liu 002; Liqun Li; Yingnong Dang; Feng Gao 022; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; et al. (ACM SIGOPS Oper. Syst. Rev., 2022)

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. - Yintong Huo; Cheryl Lee; Jinyang Liu 002; Tianyi Yang; Michael R. Lyu (ICDM (Workshops), 2023)

Incident-aware Duplicate Ticket Aggregation for Cloud Systems. - Jinyang Liu 002; Shilin He; Zhuangbin Chen; Liqun Li; Yu Kang 006; Xu Zhang 024; Pinjia He; Hongyu Zhang 002; Qingwei Lin; Zhangwei Xu; Saravan Rajmohan; Dongmei Zhang 001; et al. (ICSE, 2023)

EvLog: Identifying Anomalous Logs over Software Evolution. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (ISSRE, 2023)

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. - Jinyang Liu 002; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Cong Feng; Zengyin Yang; Michael R. Lyu (ISSRE, 2023)

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. - Jieming Zhu; Shilin He; Pinjia He; Jinyang Liu 002; Michael R. Lyu (ISSRE, 2023)

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. - Jinyang Liu 002; Zhihan Jiang; Jiazhen Gu; Junjie Huang 008; Zhuangbin Chen; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ASE, 2023)

EvLog: Evolving Log Analyzer for Anomalous Logs Identification. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (CoRR, 2023)

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. - Jinyang Liu 002; Junjie Huang 008; Yintong Huo; Zhihan Jiang; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Minzhi Yan; Michael R. Lyu (CoRR, 2023)

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)

A Large-scale Benchmark for Log Parsing. - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (CoRR, 2023)

LLMParser: A LLM-based Log Parsing Framework. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (CoRR, 2023)

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. - Junjie Huang 008; Jinyang Liu 002; Zhuangbin Chen; Zhihan Jiang; Yichen Li 003; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. - Jinxi Kuang; Jinyang Liu 002; Junjie Huang 008; Renyi Zhong; Jiazhen Gu; Lan Yu; Rui Tan 006; Zengyin Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. - Junjie Huang 008; Zhihan Jiang; Jinyang Liu 002; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Hui Dong; Zengyin Yang; Michael R. Lyu (ISSRE, 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)

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (ISSTA, 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)

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Go Static: Contextualized Logging Statement Generation. - Yichen Li 003; Yintong Huo; Renyi Zhong; Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Jiazhen Gu; Pinjia He; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. - Yichen Li 003; Yulun Wu; Jinyang Liu 002; Zhihan Jiang; Zhuangbin Chen; Guangba Yu; Michael R. Lyu (ICSE, 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)

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)

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)