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Jinyang LIU
Jinyang LIU
在 cse.cuhk.edu.hk 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Tools and benchmarks for automated log parsing
J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
4432019
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
J Zhu, S He, P He, J Liu, MR Lyu
arXiv e-prints, arXiv: 2008.06448, 2020
252*2020
Open benchmarking for click-through rate prediction
J Zhu, J Liu, S Yang, Q Zhang, X He
Proceedings of the 30th ACM International Conference on Information …, 2021
115*2021
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Z Chen, J Liu, W Gu, Y Su, MR Lyu
arXiv preprint arXiv:2107.05908, 2021
942021
Logzip: extracting hidden structures via iterative clustering for log compression
J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
692019
Bars: Towards open benchmarking for recommender systems
J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X Xiao, R Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
532022
Ensembled CTR Prediction via Knowledge Distillation
J Zhu, J Liu, W Li, J Lai, X He, L Chen, Z Zheng
Proceedings of the 29th ACM International Conference on Information …, 2020
532020
Adaptive performance anomaly detection for online service systems via pattern sketching
Z Chen, J Liu, Y Su, H Zhang, X Ling, Y Yang, MR Lyu
Proceedings of the 44th International Conference on Software Engineering, 61-72, 2022
212022
Graph-based incident aggregation for large-scale online service systems
Z Chen, J Liu, Y Su, H Zhang, X Wen, X Ling, Y Yang, MR Lyu
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
182021
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop
J Liu, J Huang, Y Huo, Z Jiang, J Gu, Z Chen, C Feng, M Yan, MR Lyu
arXiv preprint arXiv:2306.05032, 2023
122023
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Y Li, X Zhang, S He, Z Chen, Y Kang, J Liu, L Li, Y Dang, F Gao, Z Xu, ...
ACM SIGOPS Operating Systems Review 56 (1), 1-7, 2022
122022
LLMParser: A LLM-based Log Parsing Framework
Z Jiang, J Liu, Z Chen, Y Li, J Huang, Y Huo, P He, J Gu, MR Lyu
arXiv preprint arXiv:2310.01796, 2023
102023
EvLog: Identifying Anomalous Logs over Software Evolution
Y Huo, C Lee, Y Su, S Shan, J Liu, MR Lyu
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
9*2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
J Liu, S He, Z Chen, L Li, Y Kang, X Zhang, P He, H Zhang, Q Lin, Z Xu, ...
arXiv preprint arXiv:2302.09520, 2023
92023
A Large-scale Benchmark for Log Parsing
Z Jiang, J Liu, J Huang, Y Li, Y Huo, J Gu, Z Chen, J Zhu, MR Lyu
arXiv preprint arXiv:2308.10828, 2023
52023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
J Liu, T Yang, Z Chen, Y Su, C Feng, Z Yang, MR Lyu
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
32023
Prism: Revealing hidden functional clusters from massive instances in cloud systems
J Liu, Z Jiang, J Gu, J Huang, Z Chen, C Feng, Z Yang, Y Yang, MR Lyu
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
32023
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
J Liu, W Gu, Z Chen, Y Li, Y Su, MR Lyu
arXiv preprint arXiv:2401.06175, 2024
12024
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems
Y Huo, C Lee, J Liu, T Yang, MR Lyu
arXiv preprint arXiv:2310.00677, 2023
2023
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