conf.researchr.org / Qingwei Lin
Registered user since Tue 18 Dec 2018
Name:Qingwei Lin
Bio:
Qingwei Lin is a Partner Researcher and Research Manager at the DKI (Data, Knowledge, Intelligence) research area. He is leading a team of researchers working on data-driven technologies for cloud intelligence / AIOps, with innovations in machine learning and AI algorithms. In cloud intelligence / AIOps area, Qingwei has over 100 publications in the conferences of ICSE, FSE, ASE, OSDI, NSDI, USENIX ATC, AAAI, ICML, NeurIPS, etc. The research technologies have been transferred into multiple Microsoft products, such as Microsoft Azure, Office, Windows, Bing, etc., and made substantial improvements. Qingwei hosted Microsoft company-wide “Cloud Service Intelligence Summit” as the Chair for 5 consecutive years. He joined Microsoft Research in 2006.
Country:China
Affiliation:Microsoft
Personal website: https://www.microsoft.com/en-us/research/people/qlin/
Research interests:AIOps, Cloud Intelligence, LLMs, AI, Machine Learning, Deep Learning, prediction, optimization, diagnosis, log analysis, incident management
Contributions
2025
2024
ESEC/FSE
ICSE
2023
ESEC/FSE
- Author of TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems within the Industry Papers-track
- Author of [Remote] Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365 within the Industry Papers-track
- Author of [Remote] Assess and Summarize: Improve Outage Understanding with Large Language Models within the Industry Papers-track
- Author of [Remote] STEAM: Observability-Preserving Trace Sampling within the Industry Papers-track
ICSE
- 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
2022
ESEC/FSE
- 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
ICSE
- 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
2021
ESEC/FSE
- 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
- 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
- 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)
2020
ESEC/FSE
- 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