Hypergraph neural networks (HGNN) have shown superior performance in var...
We propose COEP, an automated and principled framework to solve inverse
...
In this letter, we develop an ℓ_2-box maximum likelihood (ML)
formulatio...
The real-time transient stability assessment (TSA) plays a critical role...
In this paper, we develop an efficient detector for massive multiple-inp...
Leveraging well-established MCMC strategies, we propose MCMC-interactive...
Tensor networks (TN) have found a wide use in machine learning, and in
p...
We propose Weibull delegate racing (WDR) to explicitly model surviving u...
In order to solve the limited buffer scheduling problems in flexible flo...
We propose Lomax delegate racing (LDR) to explicitly model the mechanism...
To model categorical response variables given their covariates, we propo...