234 citations · 581 across the 34 of their papers we have counts for
34 papers
Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics
Wei Dai, Chuanfeng Ning, Shiyu Pei +2
As a randomized learner model, SCNs are remarkable that the random weights and biases are assigned employing a supervisory mechanism to ensure universal approximation and fast lear…
Short-and-Sparse Deconvolution Via Rank-One Constrained Optimization (ROCO)
Cheng Cheng, Wei Dai
Short-and-sparse deconvolution (SaSD) aims to recover a short kernel and a long and sparse signal from their convolution. In the literature, formulations of blind deconvolution is…
Dictionary Learning with Convex Update (ROMD)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary under which the training data can be sparsely represented, and it is usually achieved by iteratively applying two stages: sparse codin…
Mathematical Theory of Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution (Extended Version)
Mohamed A. Suliman, Wei Dai
This paper develops a new mathematical framework for denoising in blind two-dimensional (2D) super-resolution upon using the atomic norm. The framework denoises a signal that consi…
Dictionary Learning Using Rank-One Projection (ROP)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary that can sparsely represent the training data. Methods in the literature typically formulate the dictionary learning problem as an opt…
Super-resolved Localisation without Identifying LoS/NLoS Paths
Hengyan Liu, Wei Dai, Yuan Shen
This paper focuses on the problem of localising a transmitting mobile station (MS) using multiple cooperative base stations (BSs). There are two technical difficulties: one is the…