3 papers
cs.LG2026
Self-Supervised Combinatorial Optimization with Constraints via Frank-Wolfe
Akbar Rafiey, Yifei Xu, Nikolaos Karalias
Self-supervised learning for combinatorial optimization has emerged as a promising paradigm for solving discrete optimization problems with neural networks, but a central challenge…
cs.LG2025
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias, Akbar Rafiey, Yifei Xu +4
Self-Supervised Learning (SSL) for Combinatorial Optimization (CO) is an emerging paradigm for solving combinatorial problems using neural networks. In this paper, we address a cen…
eess.SP2025
Beamforming for Movable and Rotatable Antenna Enabled Multi-User Communications
Ruojing Zhao, Yifei Xu, Songjie Yang +2
In the development of wireless communication technology, multiple-input multiple-output (MIMO) technology has emerged as a key enabler, significantly enhancing the capacity of comm…