1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
Weiliang Chen, Li Jia, Yang Zhou +1
Federated learning combined with blockchain empowers secure data sharing in autonomous driving applications. Nevertheless, with the increasing granularity and complexity of vehicle…
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…
Multi-behavior Recommendation with SVD Graph Neural Networks
Shengxi Fu, Qianqian Ren, Xingfeng Lv +1
Graph Neural Networks (GNNs) have been extensively employed in the field of recommendation systems, offering users personalized recommendations and yielding remarkable outcomes. Re…