2 papers
cs.LG2024
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting
Yangyang Shi, Qianqian Ren, Yong Liu +1
Time series forecasting is crucial in many fields, yet current deep learning models struggle with noise, data sparsity, and capturing complex multi-scale patterns. This paper prese…
cs.CV2024
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security
Weiliang Chen, Qianqian Ren, Yong Liu +1
Urban region profiling plays a crucial role in forecasting and decision-making in the context of dynamic and noisy urban environments. Existing methods often struggle with issues s…