5 papers
Proximal-Based Generative Modeling for Bayesian Inverse Problems
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
Score-based diffusion models demonstrate superior performance in generative tasks but encounter fundamental bottlenecks in inverse problems due to the analytical intractability of…
Secure Transmission for Fluid Antenna-Aided ISAC Systems
Yunxiao Li, Qian Zhang, Xuejun Cheng +4
Fluid antenna (FA) has become a highly promising technology and has recently been used to enhance the integrated sensing and communication (ISAC) system. However, the scenario wher…
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
Chance constrained programming (CCP) is a powerful framework for addressing optimization problems under uncertainty. In this paper, we introduce a novel Gradient-Guided Diffusion-b…
Efficient Global Algorithms for Transmit Beamforming Design in ISAC Systems
Jiageng Wu, Zhiguo Wang, Ya-Feng Liu +1
In this paper, we propose a multi-input multi-output transmit beamforming optimization model for joint radar sensing and multi-user communications, where the design of the beamform…
Globally Optimal Beamforming Design for Integrated Sensing and Communication Systems
Zhiguo Wang, Jiageng Wu, Ya-Feng Liu +1
In this paper, we propose a multi-input multi-output beamforming transmit optimization model for joint radar sensing and multi-user communications, where the design of the beamform…