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Xihaier Luo

SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields

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Apr 16, 2025
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Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration

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Apr 01, 2025
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GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders

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Feb 07, 2025
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Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events

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Dec 18, 2024
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Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling

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Dec 02, 2024
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Variable Rate Neural Compression for Sparse Detector Data

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Nov 18, 2024
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Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

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May 20, 2024
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Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction

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Apr 09, 2024
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Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data

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Jan 30, 2024
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Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks

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Jan 21, 2024
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