Publications

Paper

• SOPINet

  • Xing Yan, Chen Zuo et al(2023).Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism

• SIDLMNet

  • Xing Yan*, Zhou Zang et al(2021). A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5

  • Zhou Zang, Xing Yan* et al(2021). Tree-based ensemble deep learning model for spatiotemporal surface ozone(O3) prediction and interpretation

• EntityDenseNet

  • Xing Yan, Zhou Zang, Zhanqing Li* et al(2020). New Interpretable Deep Learning Model to Monitor Real-Time PM2.5 Concentrations from Satellite Data

• Other DL models

  • Xing Yan*, Zhou Zang et al(2022) A global land aerosol fine-mode fraction dataset (2001-2020) retrieved from MODIS using hybrid physical and deep learning approaches

Product

• Global daily fine mode aerosol optical depth (fAOD)

• Global daily coarse mode aerosol optical depth (cAOD)