Author

Feng Ji

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Preprint Oct 2026

Graph Spectral Series and Its Signatures

Bandlimitedness is a central modeling assumption in graph signal processing (GSP), but many graph signals exhibit substantial energy throughout the graph-frequency domain. We introduce a new framework for analyzing such non-bandlimited signals by treating their graph Fourier spectra as ordered sequences and representin...

Feng Ji, Jing-Yang Dai, Apostolos Evangelidis et al. · 0 citations

Jul 2026

Filter Learning for Subgraphs: Algebras and Performance Risk Bounds

A subgraph filter algebra based on distance-aware Laplacian constructions is developed, defining a structured and controllable class of filters for effective approximation and quantifying how well the learned operator approximates the restricted ambient mapping.

Pu-Rui Zhang, Feng Ji, Yanan Zhao et al. · arXiv.org · 0 citations

Preprint Jul 2026

Graph Distribution-valued Signals in Wasserstein Spaces: Theory and Applications

By modeling the graph structure as a distribution conditioned on signal realizations, this framework provides a principled approach to signal-dependent graph structures, which are common in real-world applications, while explicitly encoding uncertainty in graph topology.

Yanan Zhao, Feng Ji, Xingchao Jian et al. · 0 citations