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Jian-Xun Wang

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#machine learning Preprint Aug 2026

Physics-Integrated Operator Learning via Gaussian Splatting Representations

Neural operators provide efficient surrogates for spatiotemporal PDE systems, but purely data-driven formulations often accumulate substantial errors during long-horizon autoregressive prediction and may fail to exploit available governing-equation structure. Existing approaches incorporate physics primarily through re...

Ji-Hao Zhang, Jun-Yi Guo, Jian-Xun Wang · 0 citations
#diffusion models Open access Aug 2026

HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing

HUG-VAS is the first SSM frameworks to unify NURBS parameterization, hierarchical diffusion, and DPS-based zero-shot conditional generation, enabling reconstruction and completion of vascular geometry from sparse, partial geometric priors without retraining.

Pan Du, Ming-Qi Xu, Xiao-Zhi Zhu et al. · 0 citations

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