activity
20232025
most citedA Unified Algorithmic Framework for Dynamic Compressive Sensing

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2025

Mini-Extragradient Methods

Xiaozhi Liu, Yong Xia

The Extragradient (EG) method stands as a cornerstone algorithm for solving monotone nonlinear equations but faces two important unresolved challenges: (i) how to select stepsizes…

math.OC2025

Split-Merge Revisited: A Scalable Approach to Generalized Eigenvalue Problems

Xiaozhi Liu, Yong Xia

The generalized eigenvalue problem (GEP) serves as a cornerstone in a wide range of applications in numerical linear algebra and scientific computing. However, traditional approach…

math.OC2025

Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem

Xiaozhi Liu, Mengmeng Song, Yong Xia

The computation of the dominant eigenpair for symmetric positive semidefinite matrices is fundamental in numerical optimization. This work shifts the paradigm from the classical Ra…

math.OC2024

Revisiting Atomic Norm Minimization: A Sequential Approach for Atom Identification and Refinement

Xiaozhi Liu, Jinjiang Wei, Yong Xia

Atomic norm minimization (ANM) is a key approach for line spectral estimation (LSE). Most related algorithms formulate ANM as a semidefinite programming (SDP), which incurs high co…

math.OC2024

Cubic NK-SVD: An Algorithm for Designing Parametric Dictionary in Frequency Estimation

Xiaozhi Liu, Yong Xia

We propose a novel parametric dictionary learning algorithm for line spectral estimation, applicable in both single measurement vector (SMV) and multiple measurement vectors (MMV)…

cs.IT2023★ 3 cited

A Unified Algorithmic Framework for Dynamic Compressive Sensing

Xiaozhi Liu, Yong Xia

We propose a unified dynamic tracking algorithmic framework (PLAY-CS) to reconstruct signal sequences with their intrinsic structured dynamic sparsity. By capitalizing on specific…