# Yifan Xiong [[Microsoft Research]] の研究者(AI インフラ信頼性方向)。[[@2024__USENIX ATC__SuperBench - Improving Cloud AI Infrastructure Reliability with Proactive Validation]] の共筆頭著者として、Azure 本番で稼働する AI インフラのプロアクティブ検証システム [[SuperBench]] を設計・実装した(ATC '24 Best Paper)。同じ系統で AI ワークロードのユーザ中心インシデント診断 [[TSGuard]]([[@2026__FSE__TSGuard - Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud]])も共著。さらに [[University of Washington]] インターンの [[Yile Gu]] らと連携し、LLM エージェント型時系列異常検知システム [[@2025__arXiv__ARGOS - Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models|ARGOS]]([[@2025__arXiv__ARGOS - Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models]])を共著した。 ## 関連 - ソース: [[@2024__USENIX ATC__SuperBench - Improving Cloud AI Infrastructure Reliability with Proactive Validation]] / [[@2026__FSE__TSGuard - Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud]] / [[@2025__arXiv__ARGOS - Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models]] - 所属: [[Microsoft Research]] - 共著(SuperBench): [[Yuting Jiang]] / [[Ziyue Yang]] / [[Lei Qu]] / [[Peng Cheng]] / [[Yongqiang Xiong]] / [[Lidong Zhou]] - 共著(TSGuard): [[Yitao Yang]] / [[Yangtao Deng]] / [[Baochun Li]] / [[Hong Xu]] / [[Peng Cheng]] - 共著(ARGOS): [[Yile Gu]] / [[Jonathan Mace]] / [[Yuting Jiang]] / [[Yigong Hu]] / [[Baris Kasikci]] / [[Peng Cheng]]