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Author

Fu Qi

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Open access Aug 2026

Spatiotemporal Compositional Active Sampling for Physics-Informed Neural Networks

In comparison experiments designed for two transfer tasks and matched for main PINN training budgets, STCAS achieves the lowest aggregate mean reported error among the compared methods for both a steady convection–diffusion equation and a nonlinear time-dependent Burgers equation.

Ju-Zheng Zhang, Shi-Yang Li, Tao Zhu et al. · 0 citations
Conference Open access Sep 2026

FedUP: Uncertainty-Aware Personalized Federated Learning via Probabilistic Prototypes

FedUP is an uncertainty-aware personalized federated learning framework that models prototypes as probability distributions and aggregates prototype distributions through reliability-informed barycenters on the statistical manifold, suppressing unreliable contributions while preserving geometric structure.

Fu Qi, Weishan Zhang, Ling-Zhao Meng et al. · 0 citations

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