6 citations · 17 across the 12 of their papers we have counts for
12 papers
Memory AMP: Overflow Avoidance, Complexity Reduction, and Comparative Analysis
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate message passing (AMP)-type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a framework called memory AMP (MAMP) was i…
Random Multiplexing
Lei Liu, Yuhao Chi, Shunqi Huang +1
As wireless communication applications evolve from traditional multipath environments to high-mobility scenarios like unmanned aerial vehicles, multiplexing techniques have advance…
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
Lei Liu, Yuhao Chi, Shunqi Huang
This paper introduces a random modulation technique that is decoupled from the channel matrix, allowing it to be applied to arbitrary norm-bounded and spectrally convergent channel…
Distributed Memory Approximate Message Passing
Jun Lu, Lei Liu, Shunqi Huang +2
Approximate message passing (AMP) algorithms are iterative methods for signal recovery in noisy linear systems. In some scenarios, AMP algorithms need to operate within a distribut…
Overflow-Avoiding Memory AMP
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate Message Passing (AMP) type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a principle called Memory AMP (MAMP) was p…
Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems
Yao Ge, Lei Liu, Shunqi Huang +3
Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal spa…
Algebra of L-banded Matrices
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Convergence is a crucial issue in iterative algorithms. Damping is commonly employed to ensure the convergence of iterative algorithms. The conventional ways of damping are scalar-…
Sufficient Statistic Memory Approximate Message Passing
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithm…
Sufficient-Statistic Memory AMP
Lei Liu, Shunqi Huang, YuZhi Yang +2
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithm…
Memory Approximate Message Passing
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP o…
Memory AMP
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. AMP only appli…
Key Generation for Internet of Things: A Contemporary Survey
Weitao Xu, Junqing Zhang, Shunqi Huang +2
Key generation is a promising technique to bootstrap secure communications for the Internet of Things (IoT) devices that have no prior knowledge between each other. In the past few…