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cs.IT2025
Feasibility-Aware Learning-to-Optimize in Wireless Communication Resource Allocation
Hanwen Zhang, Haijian Sun
The emergence of 6G wireless communication enables massive edge device access and supports real-time intelligent services such as the Internet of things (IoT) and vehicle-to-everyt…
cs.LG2025
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
Ke Deng, Hanwen Zhang, Jin Lu +1
Constrained optimization demands highly efficient solvers which promotes the development of learn-to-optimize (L2O) approaches. As a data-driven method, L2O leverages neural networ…