3 papers
cs.LG2026
Topology enables learning-based hydrodynamic prediction of the global river system
Hancheng Ren, Gang Zhao, Shuo Wang +12
Accurate river prediction is essential for water, food and energy security, yet remains challenging across entire river networks. Machine learning has transformed Earth-system mode…
cs.LG2025
Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
Shuo Wang, Mengfan Teng, Yun Cheng +8
High-resolution mapping of fine particulate matter (PM2.5) is a cornerstone of sustainable urbanism but remains critically hindered by the spatial sparsity of ground monitoring net…
cs.LG2025
PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
Shuo Wang, Yun Cheng, Qingye Meng +6
Air quality forecasting (AQF) is critical for public health and environmental management, yet remains challenging due to the complex interplay of emissions, meteorology, and chemic…