Yingnong Dang

Registered user since Wed 22 May 2019

Name:Yingnong Dang
Country:United States
Affiliation:Microsoft Azure
Research interests:AIOps

Contributions

CloudIntelligence 2021 Author of F3: Fault Forecasting Framework for Cloud Systems within the CloudIntelligence 2021-track
Author of TraceLingo: Trace representation and learning for performance issue diagnosis in cloud services within the CloudIntelligence 2021-track
Session Chair of Project Showcase Session (part of CloudIntelligence 2021)
Author of Infusing ML into VM Provisioning in Cloud within the CloudIntelligence 2021-track
Committee Member in Program Committee within the CloudIntelligence 2021-track
Committee Member in Organizing Committee within the CloudIntelligence 2021-track
ESEC/FSE 2021 Author of Onion: Identifying Incident-Indicating Logs for Cloud 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
ESEC/FSE 2020 Author of Efficient Incident Identification from Multi-dimensional Issue Reports via Meta-heuristic Search 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
Author of Towards Intelligent Incident Management: Why We Need It and How We Make It within the Industry Papers-track
ASE 2019 Author of Continuous Incident Triage for Large-Scale Online Service Systems within the Research Papers-track
ICSE 2019 Author of AIOps: Real-World Challenges and Research Innovations within the Technical Briefings-track
Author of An Empirical Investigation of Incident Triage for Online Service Systems within the Software Engineering in Practice-track
ESEC/FSE 2018 Author of Predicting Node Failure in Cloud Service Systems within the Research Papers-track