3 citations · 12 across the 27 of their papers we have counts for
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cs.LG2024
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting
Ce Chi, Xing Wang, Kexin Yang +5
Transformer has become one of the most popular architectures for multivariate time series (MTS) forecasting. Recent Transformer-based MTS models generally prefer channel-independen…
cs.LG2023★ 2 cited
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Xing Wang, Zhendong Wang, Kexin Yang +4
Long-term time series forecasting plays an important role in various real-world scenarios. Recent deep learning methods for long-term series forecasting tend to capture the intrica…
cs.LG2023
Federated Learning over Coupled Graphs
Runze Lei, Pinghui Wang, Junzhou Zhao +6
Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph i…