3 papers
cs.LG2026
P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution
Xizhuo, Zhang, Zekai Wang +2
High-fidelity simulation of spatiotemporal dynamics is computationally prohibitive, necessitating efficient super-resolution techniques to reconstruct high-resolution data from coa…
cs.LG2025
Physics-augmented Multi-task Gaussian Process for Modeling Spatiotemporal Dynamics
Xizhuo Zhang, Bing Yao
Recent advances in sensing and imaging technologies have enabled the collection of high-dimensional spatiotemporal data across complex geometric domains. However, effective modelin…
stat.ML2025
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
Xizhuo Zhang, Bing Yao
Rapid developments in advanced sensing and imaging have significantly enhanced information visibility, opening opportunities for predictive modeling of complex dynamic systems. How…