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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Qingshan Li

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3 papers indexed here

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Preprint Sep 2026

Dependency- and Layer-Aware Microservice Workflow Offloading and Service Image Caching for Edge Environments

The microservice architecture has been applied broadly in many mainstream computing environments. As one of the most prevalent environments, edge computing also widely employs microservices to handle diverse requests and tasks. In practical scenarios, microservices usually constitute workflows that are built based on s...

Zhong-Xiao Wang, Yue-Shen Xu, Qing-Shan Li et al. · 0 citations
Aug 2026

ChatRCA: A Root Cause Analysis Method via LLMs-based Multi-Agent with Human-in-the-Loop

Root cause analysis (RCA) underpins cloud reliability by correlating anomalous signals to identify incident causes. Existing LLM-based RCA methods show promise, but monolithic LLM pipelines often under-capture RCA's structured workflow, while fully automated reasoning lacks calibrated uncertainty handling and expert ov...

Mingxuan Hui, Lu Wang, Qing-Shan Li et al. · 0 citations
Open access Jul 2026

D3MBR: Dual-Level Diffusion Denoiser with Preference Guidance for Multi-Behavior Recommendation

This work reshape the denoising problem as a clean data generation task, and proposes a noise-free generation paradigm in a data-centric perspective, and integrates D \({}^{3}\) MBR with advanced MBR models and achieves great performance improvements across four datasets.

Yangtao Zhou, Xiangming Li, Jianan Li et al. · 0 citations

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