Tensor ring decomposition (TRD) is a powerful technique for decomposing high-order tensors into a sum of lower-rank matrices. This reduction can significantly reduce the computational complexity of various tensor processes. TRD has found wide applications in multiple fields, including data analysis, where it can enhance the accuracy of algorithms f