4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
Fuqiang Liu, Weiping Ding, Luis Miranda-Moreno +1
Deep neural networks (DNNs) play a significant role in an increasing body of research on traffic forecasting due to their effectively capturing spatiotemporal patterns embedded in…
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
Fuqiang Liu, Sicong Jiang, Luis Miranda-Moreno +2
Large Language Models (LLMs) have recently demonstrated significant potential in time series forecasting, offering impressive capabilities in handling complex temporal data. Howeve…
Correlating Time Series with Interpretable Convolutional Kernels
Xinyu Chen, HanQin Cai, Fuqiang Liu +1
This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal pat…