1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
Yuzhuang Pian, Taiyu Wang, Shiqi Zhang +2
Accurate air quality forecasts are vital for public health alerts, exposure assessment, and emissions control. In practice, observational data are often missing in varying proporti…
cs.LG2025★ 1 cited
Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning
Rui Xu, Dawen Yao, Yuzhuang Pian +5
Constructing high resolution air pollution maps at lower cost is crucial for sustainable city management and public health risk assessment. However, traditional fixed-site monitori…