Qingwei Lin

Registered user since Tue 18 Dec 2018

Name: Qingwei Lin

Country: China

Affiliation: Microsoft Research, China

Research interests: Machine Learning, Deep Learning, Prediction, log analysis, incident, Cloud

Contributions

ASE 2020Author of How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems within the Research Papers-track
ESEC/FSE 2020Author of Efficient Customer Incident Triage via Linking with System Incidents within the Industry Papers-track
Author of Towards Intelligent Incident Management: Why We Need It and How We Make It within the Industry Papers-track
Author of Efficient Incident Identification from Multi-dimensional Issue Reports via Meta-heuristic Search within the Research Papers-track
Author of Identifying Linked Incidents in Large-Scale Online Service Systems within the Research Papers-track
Author of How to Mitigate the Incident? An Effective Troubleshooting Guide Recommendation Technique for Online Service Systems within the Industry Papers-track
ICPC 2020Committee Member in Program Committee within the Industry-track
ASE 2019Author of Continuous Incident Triage for Large-Scale Online Service Systems within the Research Papers-track
ISSTA 2019Author of Towards Data-driven Cloud Service Intelligence within the Summer School-track
ICSE 2019Author of An Empirical Investigation of Incident Triage for Online Service Systems within the Software Engineering in Practice-track
Author of AIOps: Real-World Challenges and Research Innovations within the Technical Briefings-track
ESEC/FSE 2018Author of Predicting Node Failure in Cloud Service Systems within the Research Papers-track
Author of Identifying Impactful Service System Problems via Log Analysis within the Research Papers-track