22 citations · 67 across the 13 of their papers we have counts for
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cs.LG2021
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Ling Chen, Weiqi Chen, Binqing Wu +3
Time series forecasting is a significant problem in many applications, e.g., financial predictions and business optimization. Modern datasets can have multiple correlated time seri…
cs.LG2021
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
Ling Chen, Jiahui Xu, Binqing Wu +4
The problem of air pollution threatens public health. Air quality forecasting can provide the air quality index hours or even days later, which can help the public to prevent air p…
cs.LG2021★ 22 cited
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
Ling Chen, Jiahui Xu, Binqing Wu +4
Accurately forecasting air quality is critical to protecting general public from lung and heart diseases. This is a challenging task due to the complicated interactions among disti…