Energy-Efficient Broadcasting Scheme for Smart Industrial Wireless Sensor Networks. - Zhuangbin Chen; Anfeng Liu; Zhetao Li; Young-June Choi; Hiroo Sekiya; Jie Li 002 (Mob. Inf. Syst., 2017)

Distributed duty cycle control for delay improvement in wireless sensor networks. - Zhuangbin Chen; Anfeng Liu; Zhetao Li; Young-June Choi; Jie Li 002 (Peer-to-Peer Netw. Appl., 2017)

Reliability Improved Cooperative Communication over Wireless Sensor Networks. - Zhuangbin Chen; Ming Ma 003; Xiao Liu 007; Anfeng Liu; Ming Zhao 007 (Symmetry, 2017)

Neural Relational Topic Models for Scientific Article Analysis. - Haoli Bai; Zhuangbin Chen; Michael R. Lyu; Irwin King; Zenglin Xu (CIKM, 2018)

Characterizing the natural language descriptions in software logging statements. - Pinjia He; Zhuangbin Chen; Shilin He; Michael R. Lyu (ASE, 2018)

An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs. - Anfeng Liu; Zhuangbin Chen; Neal N. Xiong (Inf. Sci., 2018)

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. - Hui Xu 009; Zhuangbin Chen; Weibin Wu 002; Zhi Jin; Sy-Yen Kuo; Michael R. Lyu (DSN Workshops, 2019)

Towards intelligent incident management: why we need it and how we make it. - Zhuangbin Chen; Yu Kang 006; Liqun Li; Xu Zhang 024; Hongyu Zhang 002; Hui Xu 009; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Yingnong Dang; Feng Gao 022; et al. (ESEC/SIGSOFT FSE, 2020)

Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. - Hui Xu 009; Zhuangbin Chen; Mingshen Sun; Yangfan Zhou (CoRR, 2020)

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)

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)

A Survey on Automated Log Analysis for Reliability Engineering. - Shilin He; Pinjia He; Zhuangbin Chen; Tianyi Yang; Yuxin Su 001; Michael R. Lyu (ACM Comput. Surv., 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)

Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. - Hui Xu 009; Zhuangbin Chen; Mingshen Sun; Yangfan Zhou; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2022)

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Michael R. Lyu (ICSE, 2023)

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (ICSE, 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)

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)

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Michael R. Lyu (ASE, 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)

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)

Tracemesh: Scalable and Streaming Sampling for Distributed Traces. - Zhuangbin Chen; Zhihan Jiang; Yuxin Su 001; Michael R. Lyu; Zibin Zheng (CLOUD, 2024)

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)

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)

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; 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)

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)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Guangba Yu; Zhuangbin Chen; Yichen Li 003; Renyi Zhong; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

Tracezip: Efficient Distributed Tracing via Trace Compression. - Zhuangbin Chen; Junsong Pu; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

No More Labelled Examples? An Unsupervised Log Parser with LLMs. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Zhuangbin Chen; Yichen Li 003; Guangba Yu; Cong Feng; Yongqiang Yang; Zengyin Yang; 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)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. - Shufeng Kong; Xingru Yang; Yuanyuan Wei 011; Zijie Wang; Hao Tang; Jiuqi Qin; Shuting Lan; Yingheng Wang; Junwen Bai; Zhuangbin Chen; Zibin Zheng; Caihua Liu; et al. (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)

An Empirical Study of Interaction Bugs in ROS-based Software. - Zhixiang Chen 016; Zhuangbin Chen; Xingjie Cai; Wei Li 121; Zibin Zheng (CoRR, 2025)