Zhuangbin Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Anomaly Detection

Service Systems

Wireless Sensor

Top Venues

ACM Trans. Softw. Eng. Methodol.

Publications

Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR (2024)
Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR (2024)
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP (2024)
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen LI, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR (2024)
Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR (2024)
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. ISSRE (2023)
Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. CoRR (2023)
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
A Large-scale Benchmark for Log Parsing. CoRR (2023)
Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. CoRR (2023)
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE (2023)
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. ICSE (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. ICSE (2023)
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
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. CoRR (2023)
Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR (2023)
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
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. ASE (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. CoRR (2023)
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
LLMParser: A LLM-based Log Parsing Framework. CoRR (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. CoRR (2023)
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. CoRR (2022)
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE (2022)
Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu
Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. ACM Trans. Softw. Eng. Methodol. 31 (1) (2022)
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
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56 (1) (2022)
Baitong Li, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning. CoRR (2022)
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE (2021)
Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR (2021)
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu
Graph-based Incident Aggregation for Large-Scale Online Service Systems. CoRR (2021)
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
A Survey on Automated Log Analysis for Reliability Engineering. ACM Comput. Surv. 54 (6) (2021)
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
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE (2020)
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
A Survey on Automated Log Analysis for Reliability Engineering. CoRR (2020)
Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou
Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. CoRR (2020)
Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu
NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. DSN Workshops (2019)
Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu
Neural Relational Topic Models for Scientific Article Analysis. CIKM (2018)
Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
Characterizing the natural language descriptions in software logging statements. ASE (2018)
Anfeng Liu, Zhuangbin Chen, Neal N. Xiong
An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs. Inf. Sci. 424 (2018)
Zhuangbin Chen, Ming Ma, Xiao Liu, Anfeng Liu, Ming Zhao
Reliability Improved Cooperative Communication over Wireless Sensor Networks. Symmetry 9 (10) (2017)
Zhuangbin Chen, Anfeng Liu, Zhetao Li, Young-June Choi, Hiroo Sekiya, Jie Li
Energy-Efficient Broadcasting Scheme for Smart Industrial Wireless Sensor Networks. Mob. Inf. Syst. 2017 (2017)
Zhuangbin Chen, Anfeng Liu, Zhetao Li, Young-June Choi, Jie Li
Distributed duty cycle control for delay improvement in wireless sensor networks. Peer-to-Peer Netw. Appl. 10 (3) (2017)