Ph.D. Candidate in Computer Science and Technology at Southern University of Science and Technology (SUSTech), focusing on cloud computing, distributed systems, microservice systems, AIOps, and LLM interpretability.

Email: 12231141@mail.sustech.edu.cn
Phone: +86 15895640109
Location: SUSTech, Shenzhen, China

Research Highlights

• IPDPS 2024: MAAD, a distributed anomaly detection architecture for microservice systems with improved accuracy and efficiency over centralized baselines.
• Under Review: Congestion-aware microservice scheduling framework with hybrid strategy selection and rapid scaling.
• Submitted to IEEE TSC: Multimodal distributed fault diagnosis architecture for service-level root cause localization.
• Microsoft Internship Work: Contrastive attribution for realistic LLM failure analysis in long-context settings.

Education

• Ph.D., Computer Science and Technology, Southern University of Science and Technology, Shenzhen, China (2022–Present)
• M.Res., Computer Science, University of Liverpool & Xi'an Jiaotong-Liverpool University, Suzhou, China (2019–2021)
• B.Sc., Computer Science and Technology, Shenyang Jianzhu University, Shenyang, China (2015–2019)

Work Experience

• Research Intern, DKI Group, Microsoft, Shanghai (07/2025–12/2025)
• Computer Vision Algorithm Intern, XiaoIce, Microsoft, Suzhou (05/2021–09/2021)
• Game Development Intern, Seasun Game (Kingsoft Group), Zhuhai (07/2020–08/2020)

See About for full CV details.