Junnan Xu — accepted AI-conference papers

2026

Solving Spatial-Spectral Fusion with Latent Spectral Operators

Wei Li, jieyuan pei, Junnan Xu, Xuanfeng Ding, Junwei Zhu, wanjun chen +1

ICML 2026poster

Existing deep spatial–spectral fusion (SSF) methods typically learn the fusion mapping in the coordinate domain using convolutions and attentions, making it hard to scale across varying spatial resolutions and offering limited control over the frequency content of the reconstructions, which may furt…

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2025

Solving Partial Differential Equations via Radon Neural Operator

Wenbin Lu, Yihan Chen, Junnan Xu, Wei Li, Junwei Zhu, Jianwei Zheng

NeurIPS 2025poster

Neural operator is considered a popular data-driven alternative to traditional partial differential equation (PDE) solvers. However, most current solutions, whether fulfilling computations in frequency, Laplacian, and wavelet domains, all deviate far from the intrinsic PDE space. While with meticulo…

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