67 citations · 113 across the 10 of their papers we have counts for
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cs.LG2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
Kun Yi, Qi Zhang, Liang Hu +4
The key problem in multivariate time series (MTS) analysis and forecasting aims to disclose the underlying couplings between variables that drive the co-movements. Considerable rec…
cs.LG2022★ 1 cited
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
Hui He, Qi Zhang, Kun Yi +3
Due to the non-stationary nature, the distribution of real-world multivariate time series (MTS) changes over time, which is known as distribution drift. Most existing MTS forecasti…