most citedSTAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 11 cited

STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

Hangchen Liu, Zheng Dong, Renhe Jiang +4

With the rapid development of the Intelligent Transportation System (ITS), accurate traffic forecasting has emerged as a critical challenge. The key bottleneck lies in capturing th…

cs.LG2023

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting

Jiewen Deng, Jinliang Deng, Renhe Jiang +1

Tensor time series (TTS) data, a generalization of one-dimensional time series on a high-dimensional space, is ubiquitous in real-world scenarios, especially in monitoring systems…