Xi-Yuan Liu — accepted AI-conference papers

2025

A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals

Lei Wang, Xiao-Feng Gong, Xi-Yuan Liu, Wei Feng, Qiu-Hua Lin

ICASSP 2025accepted

We consider tensor data completion of an incomplete observation of multidimensional harmonic (MH) signals. Unlike existing tensor-based techniques for MH retrieval (MHR), which mostly adopt the canonical polyadic decomposition (CPD) to model the simple "one-to-one" correspondence among harmonics acr…

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2025

A Parametric Non-Negative Coupled Canonical Polyadic Decomposition Algorithm for Hyperspectral Super-Resolution

Xi-Yuan Liu, Xiao-Feng Gong, Lei Wang, Wei Feng, Qiu-Hua Lin

ICASSP 2025accepted

Recently, coupled tensor decomposition has been widely used in data fusion of a hyperspectral image (HSI) and a multispectral image (MSI) for hyperspectral super-resolution (HSR). However, exsiting works often ignore the inherent non-negative (NN) property of the image data, or impose the NN constra…

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