Big data analysis has become a crucial part of new emerging technologies such as the
internet of things, cyber-physical analysis, deep learning, anomaly detection, etc. Among …

Extracting information from large-scale high-dimensional data is a fundamentally important
task in high performance computing, where the hierarchical Tucker (HT) tensor learning …

Sparse Tensor-Times-Matrix (SpTTM) is the core calculation in tensor analysis. The sparse
distributions of different tensors vary greatly, which poses a big challenge to designing …