5 papers
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
Tao Yin, Xiaohong Zhang, Shaochen Fu +5
One main challenge in time series anomaly detection for industrial IoT lies in the complex spatio-temporal couplings within multivariate data. However, traditional anomaly detectio…
QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction
Ziliang Wang, Xiaohong Zhang, Ze Shi Li +1
Accurate prediction of Quality of Service (QoS) metrics is fundamental for selecting and managing cloud based services. Traditional QoS models rely on manual feature engineering an…
Rethinking the Sample Relations for Few-Shot Classification
Guowei Yin, Sheng Huang, Luwen Huangfu +2
Feature quality is paramount for classification performance, particularly in few-shot scenarios. Contrastive learning, a widely adopted technique for enhancing feature quality, lev…
Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction
Ziliang Wang, Xiaohong Zhang, Kechi Zhang +2
Individual objects, whether users or services, within a specific region often exhibit similar network states due to their shared origin from the same city or autonomous system (AS)…
Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
Ziliang Wang, Xiaohong Zhang, Ze Shi Li +2
Accurate Quality of Service (QoS) prediction is essential for enhancing user satisfaction in web recommendation systems, yet existing prediction models often overlook feature noise…