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Zhuangbin Chen
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2020 – today
- 2024
- [j8]Zhihan Jiang
, Jinyang Liu
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024) - [c15]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. CLOUD 2024: 54-65 - [c14]Junjie Huang
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP 2024: 392-404 - [c13]Zhihan Jiang
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? ISSTA 2024: 223-234 - [i20]Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu:
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR abs/2401.06175 (2024) - [i19]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 abs/2402.17583 (2024) - [i18]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR abs/2406.06975 (2024) - [i17]Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu:
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR abs/2406.07174 (2024) - [i16]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. CoRR abs/2409.13561 (2024) - 2023
- [c12]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: 1724-1736 - [c11]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: 1750-1762 - [c10]Jinyang Liu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c9]Jinyang Liu
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. ISSRE 2023: 36-45 - [c8]Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. ASE 2023: 116-128 - [c7]Jinyang Liu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE 2023: 268-280 - [i15]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 abs/2302.05092 (2023) - [i14]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 abs/2302.06914 (2023) - [i13]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 abs/2302.09520 (2023) - [i12]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 abs/2306.05032 (2023) - [i11]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 abs/2307.10869 (2023) - [i10]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 abs/2308.07638 (2023) - [i9]Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. CoRR abs/2308.07676 (2023) - [i8]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 abs/2308.09937 (2023) - [i7]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 abs/2308.10828 (2023) - [i6]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 abs/2310.01796 (2023) - 2022
- [j7]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): 130:1-130:37 (2022) - [j6]Yichen Li
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022) - [j5]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): 3:1-3:25 (2022) - [c6]Zhuangbin Chen, Jinyang Liu
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE 2022: 61-72 - [i5]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 abs/2201.02944 (2022) - 2021
- [c5]Zhuangbin Chen, Jinyang Liu
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE 2021: 430-442 - [i4]Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu:
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR abs/2107.05908 (2021) - [i3]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 abs/2108.12179 (2021) - 2020
- [c4]Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE 2020: 1487-1497 - [i2]Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou:
Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. CoRR abs/2003.03296 (2020) - [i1]Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. CoRR abs/2009.07237 (2020)
2010 – 2019
- 2019
- [c3]Hui Xu, Zhuangbin Chen, Weibin Wu
NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. DSN Workshops 2019: 44-47 - 2018
- [j4]Anfeng Liu, Zhuangbin Chen, Neal N. Xiong
An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs. Inf. Sci. 424: 118-136 (2018) - [c2]Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King
Neural Relational Topic Models for Scientific Article Analysis. CIKM 2018: 27-36 - [c1]Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu:
Characterizing the natural language descriptions in software logging statements. ASE 2018: 178-189 - 2017
- [j3]Zhuangbin Chen, Anfeng Liu
Energy-Efficient Broadcasting Scheme for Smart Industrial Wireless Sensor Networks. Mob. Inf. Syst. 2017: 7538190:1-7538190:17 (2017) - [j2]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): 559-578 (2017) - [j1]Zhuangbin Chen, Ming Ma, Xiao Liu, Anfeng Liu
Reliability Improved Cooperative Communication over Wireless Sensor Networks. Symmetry 9(10): 209 (2017)
Coauthor Index
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