Zhuangbin Chen

According to our database, Zhuangbin Chen authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units.

Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu

CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.

Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu

CoRR, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.

Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.

Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.

Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Tracemesh: Scalable and Streaming Sampling for Distributed Traces.

Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

LLMParser: A LLM-based Log Parsing Framework.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

CoRR, 2023

A Large-scale Benchmark for Log Parsing.

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

CoRR, 2023

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection.

Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu

CoRR, 2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.

Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu

CoRR, 2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.

Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services.

Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs.

Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu

ACM Trans. Softw. Eng. Methodol., 2022

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Oper. Syst. Rev., 2022

A Survey on Automated Log Analysis for Reliability Engineering.

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu

ACM Comput. Surv., 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu

CoRR, 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection.

Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu

CoRR, 2021

Graph-based Incident Aggregation for Large-Scale Online Service Systems.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs.

Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou

CoRR, 2020

Towards intelligent incident management: why we need it and how we make it.

Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming.

Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2019

2018

An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs.

Anfeng Liu, Zhuangbin Chen, Neal N. Xiong

Inf. Sci., 2018

Characterizing the natural language descriptions in software logging statements.

Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Neural Relational Topic Models for Scientific Article Analysis.

Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Reliability Improved Cooperative Communication over Wireless Sensor Networks.

Zhuangbin Chen, Ming Ma, Xiao Liu, Anfeng Liu, Ming Zhao

Symmetry, 2017

Distributed duty cycle control for delay improvement in wireless sensor networks.

Zhuangbin Chen, Anfeng Liu, Zhetao Li, Young-June Choi, Jie Li

Peer-to-Peer Netw. Appl., 2017

Energy-Efficient Broadcasting Scheme for Smart Industrial Wireless Sensor Networks.

Zhuangbin Chen, Anfeng Liu, Zhetao Li, Young-June Choi, Hiroo Sekiya, Jie Li

Mob. Inf. Syst., 2017