 Our Anautoformer model is able to accurately predict air quality levels by leveraging the temporal dependencies in AQI time series and incorporating more detailed features extracted from the data. This model outperforms other baseline models on the Landshow dataset, demonstrating its potential for use in air quality prediction. This article was authored by Huifeng Feng and Xiang Hongzhang.