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cs.LG2026
Riemannian Difference-of-Convex Optimization for K-Means Clustering
Meng Xu, Bo Jiang, Hanfu Zhang +2
K-means is a widely adopted clustering approach in signal processing and machine learning. In this paper, we study K-means clustering through a cardinality-constrained formulation…
math.OC2026
A Stochastic Riemannian Alternating Descent Ascent Method for Nonsmooth Composite Expectation Optimization on Riemannian Manifolds
Meng Xu, Bo Jiang, Ya-Feng Liu +1
In this paper, we consider a class of Riemannian nonsmooth composite expectation optimization problems, which arises in various machine learning, signal processing, and statistics…
eess.SP2026
Optimal Low-Dimensional Structures of ISAC Beamforming: Theory and Efficient Algorithms
Xiaotong Zhao, Mian Li, Ya-Feng Liu +2
Transmit beamforming design is a fundamental problem in integrated sensing and communication (ISAC) systems. Numerous methods have been proposed to jointly optimize key performance…