most citedReliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DC2026

Prediction-Robust Service Deployment with Capacity-Aware Edge Admission

Hailiang Zhao, Ziqi Wang, Yifei Zhang +4

Edge platforms instantiate executable services close to users to reduce request-serving cost, but each instance incurs a one-time deployment cost and remains useful only for a fini…

cs.MA2026

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling

Ziqi Wang, Yuhao Yang, Zhiwei Ling +2

Recent advances in agent and multi-agent systems have shown strong performance on tool use, reasoning, and collaborative tasks. However, existing benchmarks mostly evaluate task co…

cs.LG2026

ARMOR: A Robust Self-Supervised Framework for Root Cause Analysis in Microservices under Missing Modality

Wenzhuo Qian, Hailiang Zhao, Ziqi Wang +4

Automated incident management is critical for microservice reliability. While recent unified frameworks leverage multimodal data for joint optimization, they unrealistically assume…

cs.LG2026

Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection

Zhiwei Ling, Hailiang Zhao, Chao Zhang +8

Federated Learning (FL) enables collaborative model training across large-scale distributed service nodes while preserving data privacy, making it a cornerstone of intelligent serv…

cs.CE2026

Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence

Hailiang Zhao, Ziqi Wang, Daojiang Hu +9

The convergence of artificial intelligence, cyber-physical systems, and distributed networking has accelerated the evolution of industrial intelligence across edge, cloud, and cros…

cs.AI2025

OmniFuser: Adaptive Multimodal Fusion for Service-Oriented Predictive Maintenance

Ziqi Wang, Hailiang Zhao, Yuhao Yang +7

Accurate and timely prediction of tool conditions is critical for intelligent manufacturing systems, where unplanned tool failures can lead to quality degradation and production do…

cs.SE2025

Agentic Services Computing

Shuiguang Deng, Hailiang Zhao, Ziqi Wang +6

Services computing has evolved from Web services and microservices to cloud-native and serverless paradigms. These approaches established mature principles for describing, composin…

cs.LG2025

Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting

Ziqi Wang, Hailiang Zhao, Cheng Bao +5

Rainfall is an important environmental driver of water-quality variations through processes such as runoff, pollutant transport, dilution, and resuspension. Traditional mechanistic…

cs.LG2025★ 1 cited

Reliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation

Wenzhuo Qian, Hailiang Zhao, Jiayi Chen +7

Microservice architectures enable scalable cloud-native applications; however, the distributed nature of these systems complicates the maintenance of strict Service Level Objective…