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Zhengong Cai

2 accepted papers

2026

RCAFlow: A Workflow-Informed Hierarchical Planning Multi-Agent System for Root Cause Analysis

AAAI 2026technical

As microservice architectures become increasingly complex and system events become more frequent, Root Cause Analysis (RCA) has emerged as a critical task to ensure system reliability. However, existing deep learning-based methods often struggle with limited flexibility and a lack of interpretabilit

Cited by 0SourcePDFScholar
2025

Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication

EMNLP 2025

Large language models are reshaping internet services. Serving these models is often costly, as it requires multiple high-end GPUs. Consumer-grade GPUs offer cheaper computational power, providing an opportunity for more cost-efficient LLM serving.Prior efforts have explored distributed serving at s

Cited by 0SourcePDFScholar