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

Personal website:https://www.microsoft.com/en-us/research/people/qlin/

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

Contributions

ICSE 2024	Committee Member in Research Track within the Research Track-track
ICSE 2023	Committee Member in Software Engineering in Practice within the SEIP - Software Engineering in Practice-track Author of TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems within the SEIP - Software Engineering in Practice-track Author of Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems within the SEIP - Software Engineering in Practice-track Committee Member in Technical Briefings within the Technical Briefings-track Author of Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction within the Technical Track-track Author of Incident-aware Duplicate Ticket Aggregation for Cloud Systems within the Technical Track-track Author of CONAN: Diagnosing Batch Failures for Cloud Systems within the SEIP - Software Engineering in Practice-track
ESEC/FSE 2022	Author of An Empirical Study of Log Analysis at Microsoft within the Industry Paper-track Author of SPINE: A Scalable Log Parser with Feedback Guidance within the Research Papers-track Author of An Empirical Investigation of Missing Data Handling in Cloud Node Failure Prediction within the Industry Paper-track
ISSTA 2022	Programme Committee in Program Committee within the Technical 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 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
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
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 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
ASE 2020	Author of How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems within the Research Papers-track
ICPC 2020	Committee Member in Program Committee within the Industry-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