11 papers
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…
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-…
XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting
Ziqi Wang, Hailiang Zhao, Cheng Bao +4
Long-term time-series forecasting is critical for environmental monitoring, yet water quality prediction remains challenging due to complex periodicity, nonstationarity, and abrupt…