Yu Kang

Registered user since Wed 8 Jul 2020

Name:Yu Kang
Bio:

Yu Kang is a Senior Researcher in the DKI (Data, Knowledge, Intelligence) area of Microsoft Research Asia. He is also an adjunct professor at School of Computer Science, Fudan University. He focuses on data-driven technologies for intelligent cloud service. His research combines ABC (AI, big data and cloud computing), which adopts AI technologies on big data generated during cloud computing runtime. He has publications in topic conferences of Software Engineering (SE) area. He had served as principal investigator of several industry and research projects including a NSFC project. Aiming at building more reliable cloud platform, the research technologies have been integrated into fundamental cloud platform services which supports all Microsoft online services including Microsoft Azure, Office365, etc. He joined Microsoft Research in 2018. More information can be found at: https://www.microsoft.com/en-us/research/people/kay/

Country:China
Affiliation:Microsoft Research, Beijing, China
Research interests:Software Engineering, AI, Cloud computing

Contributions

CloudIntelligence 2021 Proceedings Chair in Proceeding Chair within the CloudIntelligence 2021-track
ESEC/FSE 2021 Session Chair of Architectures & Design—Cloud Computing 1 (part of Research Papers)
Session Chair of Architectures & Design—Cloud Computing 2 (part of Research Papers)
Session Chair of Architectures & Design—Cloud Computing 1 (part of Research Papers)
Session Chair of Architectures & Design—Cloud Computing 2 (part of Research Papers)
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 Identifying Linked Incidents in Large-Scale Online Service Systems within the Research Papers-track
Author of Efficient Customer Incident Triage via Linking with System Incidents within the Industry 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
ICSE 2021 Author of Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining within the Technical Track-track