3 papers
cs.LG2026
Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications
Zhuan Liang, Zheng Zhai
Spectral methods are among the most widely used techniques for community detection, clustering, and graph learning. Their performance, however, critically depends on the accurate e…
cs.LG2024
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
Zheng Zhai, Xiaohui Li
Matrix Factorization has emerged as a widely adopted framework for modeling data exhibiting low-rank structures. To address challenges in manifold learning, this paper presents a s…
cs.LG2024
Regularized Projection Matrix Approximation with Applications to Community Detection
Zheng Zhai, Jialu Xu, Mingxin Wu +1
This paper introduces a regularized projection matrix approximation framework designed to recover cluster information from the affinity matrix. The model is formulated as a project…