conf.researchr.org / Minghua Ma
Registered user since Mon 8 Aug 2022
Name:Minghua Ma
Bio:
Minghua Ma is currently a Senior Researcher at Microsoft M365 Research Group. Before joining Microsoft, he received the Ph.D. degree from Tsinghua University in 2021, under the supervision of Prof. Dan Pei. His research spans Software Engineering, Systems, and Artificial Intelligence. His research interests are primarily focused on AI for IT Operations (AIOps) / Cloud Intelligence.
Country:United States
Affiliation:Microsoft
Personal website: https://marvin233.github.io/
Research interests:AIOps
Contributions
2026
2025
ASE
ESEC/FSE
- Author of OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models’ Capability in IT Operations Domain within the Industry Papers-track
- Committee Member in Program Committee within the Industry Papers-track
- Committee Member in Program Committee within the Research Papers-track
2024
ASE
- Author of ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems within the Research Papers-track
- Author of End-to-End AutoML for Unsupervised Log Anomaly Detection within the Research Papers-track
- Author of Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization within the Research Papers-track
ESEC/FSE
- Author of Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4 within the Industry Papers-track
- Committee Member in Program Committee within the Industry Papers-track
- Author of MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models within the Industry Papers-track
2023
ESEC/FSE
- Author of [Remote] Detection Is Better Than Cure: A Cloud Incidents Perspective within the Industry Papers-track
- Author of TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems within the Industry Papers-track
- Author of [Remote] Assess and Summarize: Improve Outage Understanding with Large Language Models within the Industry Papers-track
ICSE
- 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
- Author of CONAN: Diagnosing Batch Failures for Cloud Systems within the SEIP - Software Engineering in Practice-track