activity
20232026
most citedDecentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning

7 citations · 8 across the 19 of their papers we have counts for

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Showing 2025Show all

10 papers · 1 filter

cs.CV2025

TrackTeller: Temporal Multimodal 3D Grounding for Behavior-Dependent Object References

Jiahong Yu, Ziqi Wang, Hailiang Zhao +3

Understanding natural-language references to objects in dynamic 3D driving scenes is essential for interactive autonomous systems. In practice, many referring expressions describe…

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

Toward Robust and Efficient ML-Based GPU Caching for Modern Inference

Peng Chen, Jiaji Zhang, Hailiang Zhao +11

In modern GPU inference, cache efficiency remains a major bottleneck, and heuristic policies such as \textsc{LRU} can perform far worse than the offline optimum. Existing learning-…

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…