44 citations · 51 across the 4 of their papers we have counts for
4 papers
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
Yukai Cai, Hang Liu, Xiulin Wang +4
In the field of brain science, data sharing across servers is becoming increasingly challenging due to issues such as industry competition, privacy security, and administrative pro…
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Xiulin Wang, Jing Liu, Fengyu Cong
Tensor decomposition is a fundamental technique widely applied in signal processing, machine learning, and various other fields. However, traditional tensor decomposition methods e…
PARAFAC2-based Coupled Matrix and Tensor Factorizations
Carla Schenker, Xiulin Wang, Evrim Acar
Coupled matrix and tensor factorizations (CMTF) have emerged as an effective data fusion tool to jointly analyze data sets in the form of matrices and higher-order tensors. The PAR…
Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations
Xiao-Feng Gong, Xiu-Lin Wang, Qiu-Hua Lin
Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc. However, N…