13 papers
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…
Towards Optimal Robustness in Learning-Augmented Paging
Peng Chen, Hailiang Zhao, Xueyan Tang +2
Learning-augmented paging has been extensively studied in recent years. A key advantage over naive ML-based approaches is \emph{bounded robustness}, which guarantees worst-case per…
TADS: Task-Aware Data Selection for Multi-Task Multimodal Pre-Training
Guanjie Cheng, Boyi Li, Lingyu Sun +4
Large-scale multimodal pre-trained models like CLIP rely heavily on high-quality training data, yet raw web-crawled datasets are often noisy, misaligned, and redundant, leading to…
Morphis: SLO-Aware Resource Scheduling for Microservices with Time-Varying Call Graphs
Yu Tang, Hailiang Zhao, Chuansheng Lu +4
Modern microservice systems exhibit continuous structural evolution in their runtime call graphs due to workload fluctuations, fault responses, and deployment activities. Despite t…
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…
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…