Zhongnan Weng

Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space

Predicting spatiotemporal fields governed by partial differential equations (PDEs) from sparse sensor data is a critical and long-standing challenge in science and engineering. Recent deep learning approaches, particularly neural operators, have shown considerable promise in solving PDEs. However, t