Qingwei Lin

Registered user since Tue 18 Dec 2018

Name:Qingwei Lin
Bio:

Qingwei Lin is a Sr. Principal Research Manager in the DKI (Data, Knowledge, Intelligence) area of Microsoft Research Asia. He is leading a team of researchers working on data-driven technologies for cloud intelligence, with innovations in machine learning and data mining algorithms. In cloud intelligence area, Qingwei has multiple publications in the conferences of ICSE, FSE, ASE, OSDI, NSDI, USENIX ATC, AAAI, IJCAI, SigKDD, etc. The research technologies have been transferred into multiple Microsoft product divisions, such as Microsoft Azure, Office365, Windows, Bing, etc. Qingwei hosted Microsoft company-wide “Cloud Service Intelligence Summit” as the Chair for 4 consecutive years. He joined Microsoft Research in 2006.

Country:China
Affiliation:Microsoft Research
Research interests:AIOps, Cloud Intelligence, Machine Learning, Deep Learning, prediction, optimization, diagnosis, log analysis, incident management

Contributions

ISSTA 2022 Programme Committee in Program Committee within the Technical Papers-track
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)
ESEC/FSE 2021 Author of Effective Low Capacity Status Prediction for Cloud Systems within the Industry Papers-track
Author of Intelligent Container Reallocation at Microsoft 365 within the Industry Papers-track
Author of Onion: Identifying Incident-Indicating Logs for Cloud Systems within the Industry Papers-track
Author of LS-Sampling: An Effective Local Search Based Sampling Approach for Achieving High t-wise Coverage within the Research Papers-track
ASE 2020 Author of How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems within the Research Papers-track
ICSE 2022 Author of DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning within the Technical Track-track
Author of Search-based Diverse Sampling from Real-world Software Product Lines within the Technical Track-track
Committee Member in Program Committee within the SEIP - Software Engineering in Practice-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