Agent Execution, Reporting, and Memory
Three deep reads on executable calls, faithful reporting, and memory routing, plus a SGLang throughput brief.
Read noteI’m Guangba Yu. My research focuses on the reliability and optimization of cloud and AI systems.

🏆 Our paper PreServe received the ACM SIGSOFT Distinguished Paper Award at ICSE 2026. CUHK announcement ↗
🏆 Our paper iKnow received the ACM SIGSOFT Distinguished Paper Award at ASE 2025. CUHK announcement ↗
🎉 Our Alert Management and Cloud Ops RAG Paper has been accepted by ASE'25.
🎉 Our Network Telemetry RCA Paper has been accepted by ToN. Congras to Hongyang!
🎉 Our Cloud Incident Management Paper has been accepted by TSE. Congras to Zilong!
🎉 Our Survey on Failure Analysis and Fault Injection in AI Systems has been accepted by TOSEM.
🎉 Log-based LLM training failures diagnosis framework L4 has been accepted by FSE'25. Congras to Zhihan!
🎉 Code knowledge enhanced root cause analysis framework CoCA has been accepted by ICSE'25. Congras to Yichen!
🎉 Microservice Trace Framework Mint has been accepted by ASPLOS'25. Congras to Haiyu!
🎉 FaaS configuration optimization Paper FaaSConf has been accepted by ASE'24 (118/587). Congras to Yilun!
🏆 Trace sampling paper TraStrainer has won Best Paper Award at FSE'24.
🎉 Request-level fault injection paper MicroFI has been accepted by TDSC. Congras to Hongyang!
🎉 Root cause change analysis paper ChangeRCA and trace sampling paper TraStrainer have been accepted by FSE'24 (56/483).
🎉 Multi-modal observability data RCA paper Nezha and database configuration optimization paper Diagconfig has been accepted by FSE'23.
Three deep reads on executable calls, faithful reporting, and memory routing, plus a SGLang throughput brief.
Read noteA TensorRT Edge-LLM benchmark on DGX Spark shows faster generation with DSpark while TTFT stays nearly unchanged.
Datadog connects excess context, cache misses, and invalid retries to code changes while separating projected savings from measured outcomes.
Ph.D. in Computer Science and Technology
Advisor: Prof. Pengfei Chen
M.Eng. in Computer Technology
Advisor: Prof. Pengfei Chen
B.Eng. in Medical Information Engineering
Advisor: Prof. Xiufeng Liu