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

CloudIntelligence 2021 Author of F3: Fault Forecasting Framework for Cloud Systems within the CloudIntelligence 2021-track
Session Chair of Keynote (part of CloudIntelligence 2021)
Author of TraceLingo: Trace representation and learning for performance issue diagnosis in cloud services within the CloudIntelligence 2021-track
Session Chair of Technical Paper Session #2 (part of CloudIntelligence 2021)
Committee Member in Organizing Committee within the CloudIntelligence 2021-track
Committee Member in Program Committee within the CloudIntelligence 2021-track
Author of Infusing ML into VM Provisioning in Cloud within the CloudIntelligence 2021-track
Session Chair of Technical paper session #1 (part of CloudIntelligence 2021)
Session Chair of Invited Talk #2 (part of CloudIntelligence 2021)
Session Chair of Invited Talk #1 (part of CloudIntelligence 2021)
ASE 2020 Author of How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems within the Research Papers-track
ESEC/FSE 2020 Author 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 2020 Committee Member in Program Committee within the Industry-track
ICSE 2021 Author of Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining within the Technical Track-track
Author of AutoCCAG: An Automated Approach to Constrained Covering Array Generation within the Technical Track-track
Author of FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation within the DEMO - Demonstrations-track
ASE 2019 Author of Continuous Incident Triage for Large-Scale Online Service Systems within the Research Papers-track
ISSTA 2019 Author of Towards Data-driven Cloud Service Intelligence within the Summer School-track
ICSE 2019 Author 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 2018 Author 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