3 papers
cs.CV2026
Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery
Yangyang Xu, Junbo Ke, You-Wei Wen +1
Tensor Ring (TR) decomposition is a powerful tool for high-order data modeling, but is inherently restricted to discrete forms defined on fixed meshgrids. In this work, we propose…
cs.CV2026
Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
Junbo Ke, Yangyang Xu, You-Wei Wen +1
Implicit Neural Representations (INRs) have emerged as a powerful paradigm for various signal processing tasks, but their inherent spectral bias limits the ability to capture high-…
cs.LG2015
Global and Local Structure Preserving Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection
Nan Zhou, Yangyang Xu, Hong Cheng +2
As we aim at alleviating the curse of high-dimensionality, subspace learning is becoming more popular. Existing approaches use either information about global or local structure of…