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pro vyhledávání: '"wu, Binqing"'
Although transformer-based methods have achieved great success in multi-scale temporal pattern interaction modeling, two key challenges limit their further development: (1) Individual time points contain less semantic information, and leveraging atte
Externí odkaz:
http://arxiv.org/abs/2410.23992
While widely recognized as one of the most substantial weather forecasting methodologies, Numerical Weather Prediction (NWP) usually suffers from relatively coarse resolution and inevitable bias due to tempo-spatial discretization, physical parametri
Externí odkaz:
http://arxiv.org/abs/2312.12476
Due to insufficient local area information, numerical weather prediction (NWP) may yield biases for specific areas. Previous studies correct biases mainly by employing handcrafted features or applying data-driven methods intuitively, overlooking the
Externí odkaz:
http://arxiv.org/abs/2310.05517
Autor:
Wu, Binqing, Chen, Ling
Traffic forecasting is essential to intelligent transportation systems, which is challenging due to the complicated spatial and temporal dependencies within a road network. Existing works usually learn spatial and temporal dependencies separately, ig
Externí odkaz:
http://arxiv.org/abs/2307.00518
Traffic forecasting is an essential problem in urban planning and computing. The complex dynamic spatial-temporal dependencies among traffic objects (e.g., sensors and road segments) have been calling for highly flexible models; unfortunately, sophis
Externí odkaz:
http://arxiv.org/abs/2208.03063
Multivariate time series (MTS) forecasting plays an important role in the automation and optimization of intelligent applications. It is a challenging task, as we need to consider both complex intra-variable dependencies and inter-variable dependenci
Externí odkaz:
http://arxiv.org/abs/2201.04828
Time series forecasting is a significant problem in many applications, e.g., financial predictions and business optimization. Modern datasets can have multiple correlated time series, which are often generated with global (shared) regularities and lo
Externí odkaz:
http://arxiv.org/abs/2111.04942
Autor:
Chen, Ling, Xu, Jiahui, Wu, Binqing, Qian, Yuntao, Du, Zhenhong, Li, Yansheng, Zhang, Yongjun
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 pollution in advance. Previous works focus on citywide air quality fore
Externí odkaz:
http://arxiv.org/abs/2108.12238
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