Final-year Ph.D. Candidate,
The Chinese University of Hong Kong
Contact Info:
Room 101A, SHB, CUHK, Hong Kong
Email: jyliu AT cse.cuhk.edu.hk
Github
Google Scholar
LinkedIn
CV
Research Interest:
I am a final-year Ph.D candidate at the Chinese University of Hong Kong, under the supervision of Prof. Michael R. Lyu. I got my Bachelor's (2018) and Master's (2020) degree from Sun Yat-Sen University in InPlus Lab, under the supervision of Prof. Zibin ZHENG . My research concerns the AIOps, anomaly detection, log analysis, which aims to provide a more reliable cloud system. I also did research on recommendation system based on deep learning.
Our project LogPAI provides an end-to-end solution to intelligently manage and analyze logs for modern production systems using machine learning techniques. So far, the project has received 3000+ stars and 800+ forks and the datasets Loghub have been downloaded for more than 80,000 times by 370+ organizations. Feel free to contact us if you have any questions.
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
[pdf] [code] 
CCF-A
To appear in proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, Sep 11 - 15, 2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
[pdf] [code] 
CCF-B
To appear in proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy, Oct 9 - 12, 2023
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
[pdf] [code] 
CCF-B
To appear in proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy, Oct 9 - 12, 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
[pdf] [code] 
CCF-A
In Proceedings of the 45h International Conference on Software and Engineering (ICSE 2023), Melbourne, Australia, May 14 - 20, 2023
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
[pdf] [code] 
CCF-A
In Proceedings of the 44th International Conference on Software and Engineering (ICSE 2022), Pittsburgh, May 22 - 27, 2022
Graph-based Incident Aggregation for Large-Scale Online Service Systems
[pdf]
[code] 
CCF-A
in Proceedings of The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Australia, Nov 14 - 20, 2022
Ensembled CTR Prediction via Knowledge Distillation
[pdf]
CCF-B
In Proceedings of the 29th International Conference on Information and Knowledge
Management (CIKM 2020), Online, Oct 19 - 23, 2020
Logzip: Extracting Hidden Structures via Iterative Clustering for Log
Compression
[pdf]
[code]
CCF-A
In Proceedings of the 34th International Conference on Automated Software
Engineering (ASE 2019), San Diego, California,
United States, Nov 11 - 15, 2019
Tools and Benchmarks for Automated Log Parsing
[pdf] [BibTex] [code]
CCF-A
In Proceedings of the 41st International Conference on Software Engineering:
Software Engineering in Practice (ICSE 2019),
Montréal, QC, Canada, May 25 - 31, 2019
May 2020 - Present |
Huawei Cloud BU@CUHK Lab Research Intern |
July 2021 - March 2022 |
Microsoft Research |
Jan 2018 - Aug 2018 |
Huawei 2012 Lab, Reliability Group Research Intern, Mentor: Jieming Zhu |