87 citations · 93 across the 8 of their papers we have counts for
8 papers
Scalable and Robust Tensor Ring Decomposition for Large-scale Data
Yicong He, George K. Atia
Tensor ring (TR) decomposition has recently received increased attention due to its superior expressive performance for high-order tensors. However, the applicability of traditiona…
Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data
Yicong He, George K. Atia
Tensor completion is the problem of estimating the missing values of high-order data from partially observed entries. Data corruption due to prevailing outliers poses major challen…
Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery
Yicong He, George K. Atia
Tensor completion aims to recover the missing entries of a partially observed tensor by exploiting its low-rank structure, and has been applied to visual data recovery. In applicat…
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
Yicong He, George K. Atia
The goal of tensor completion is to recover a tensor from a subset of its entries, often by exploiting its low-rank property. Among several useful definitions of tensor rank, the l…
Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization
Yicong He, Fei Wang, Yingsong Li +2
Robust matrix completion aims to recover a low-rank matrix from a subset of noisy entries perturbed by complex noises, where traditional methods for matrix completion may perform p…
Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links
Yicong He, Fei Wang, Shiyuan Wang +2
Distributed estimation over networks draws much attraction in recent years. In many situations, due to imperfect information communication among nodes, the performance of tradition…
Diffusion Adaptation Framework for Compressive Sensing Reconstruction
Yicong He, Fei Wang, Shiyuan Wang +1
Compressive sensing(CS) has drawn much attention in recent years due to its low sampling rate as well as high recovery accuracy. As an important procedure, reconstructing a sparse…
Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction
Yicong He, Fei Wang, Shiyuan Wang +2
Robust compressive sensing(CS) reconstruction has become an attractive research topic in recent years. Robust CS aims to reconstruct the sparse signals under non-Gaussian(i.e. heav…