3 papers
math.OC2026
An Alternating Minimization Algorithm for Federated Sparse Orthogonal Nonnegative Matrix Factorization
Yanjiao Zhu, Xianchao Xiu, Yongyang Xiong +1
In this paper, we develop an alternating minimization algorithm for federated sparse orthogonal nonnegative matrix factorization (ONMF) with emphases on controlling client drift. T…
math.OC2026
Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives
Xianchao Xiu, Chong Shen, Yanjiao Zhu +1
The vehicle routing problem (VRP) is a central optimization problem in artificial intelligence, logistics automation, transportation scheduling, and industrial decision-making. VRP…
math.OC2025
Sparse Tensor CCA via Manifold Optimization for Multi-View Learning
Yanjiao Zhu, Wanquan Liu, Xianchao Xiu +1
Tensor canonical correlation analysis (TCCA) has garnered significant attention due to its effectiveness in capturing high-order correlations in multi-view learning. However, exist…