3 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Shuhan Zhong, Weipeng Zhuo, Sizhe Song +3
Irregular multivariate time series (IMTS) is characterized by the lack of synchronized observations across its different channels. In this paper, we point out that this channel-wis…
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Shuhan Zhong, Sizhe Song, Weipeng Zhuo +3
Time series data, including univariate and multivariate ones, are characterized by unique composition and complex multi-scale temporal variations. They often require special consid…
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
Guanyao Li, Shuhan Zhong, S. -H. Gary Chan +3
We study the forecasting problem for traffic with dynamic, possibly periodical, and joint spatial-temporal dependency between regions. Given the aggregated inflow and outflow traff…