Yu Luo is currently a Ph.D. student at Nankai University, working under the supervision of Prof. Yongqian Sun and Prof. Shenglin Zhang. He received his Bachelor’s degree in Software Engineering from Nankai University in 2025. His research interests lie primarily in AIOps, multi-agent systems, and reinforcement learning. He has published 1 high-quality paper at ACM KDD. Currently, he is undertaking an internship as an algorithm engineer at Lenovo.
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Jun 1, 2030
TrioXpert is an end-to-end framework for incident management in microservice systems that leverages multimodal data and LLM-based collaborative reasoning to handle AD, FT, and RCL tasks with high interpretability. It significantly outperforms baselines across multiple benchmarks.
May 15, 2025
FlowXpert is a troubleshooting workflow orchestration framework that uses LLMs to build an incident-aware knowledge base and applies reinforcement learning with AI feedback to improve workflow generation. Evaluated on OpsFlowBench and deployed in Huawei Cloud’s datacenter, it demonstrated effectiveness in supporting engineers and AI agents.
May 1, 2025