Jinyang Liu

According to our database, Jinyang Liu authored at least 30 papers between 2019 and 2024.

Collaborative distances:

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

2024

Go Static: Contextualized Logging Statement Generation.

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

Proc. ACM Softw. Eng., 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

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

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.

Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu

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

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

EvLog: Evolving Log Analyzer for Anomalous Logs Identification.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, 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

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability 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

EvLog: Identifying Anomalous Logs over Software Evolution.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, 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

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems.

Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu

Proceedings of the IEEE International Conference on Data Mining, 2023

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

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

BARS: Towards Open Benchmarking for Recommender Systems.

Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Open Benchmarking for Click-Through Rate Prediction.

Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction.

Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

CoRR, 2020

Ensembled CTR Prediction via Knowledge Distillation.

Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Tools and benchmarks for automated log parsing.

Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019