Registered user since Wed 8 Jul 2020
Yu Kang is a Principal 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/
Contributions
2024
ESEC/FSE
2023
ESEC/FSE
- Author of [Remote] Assess and Summarize: Improve Outage Understanding with Large Language Models within the Industry Papers-track
- Author of [Remote] Detection Is Better Than Cure: A Cloud Incidents Perspective within the Industry Papers-track
- Author of [Remote] STEAM: Observability-Preserving Trace Sampling within the Industry Papers-track
2022
ESEC/FSE
2021
ESEC/FSE
- 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)
2020
ESEC/FSE
- 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