Yi-Di Shi

An Adaptive Spatiotemporal Graph Transformer for Multi-Site PM2.5 Multi-Step Forecasting with Non-stationary and Sparse-Aware Method.

The results demonstrate the model's effectiveness, accuracy, and robustness across different datasets, highlighting its generalization capability under irregular spatial distributions, and offering a reliable solution for multi-site multi-step air quality prediction and refined environmental management.