2 papers
cs.LG2024
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent
Qicong Hu, Hao Wu
Data characterized by high dimensionality and sparsity are commonly used to describe real-world node interactions. Low-rank representation (LR) can map high-dimensional sparse (HDS…
cs.LG2024
An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network
Xin Liao, Qicong Hu, Peng Tang
The Dynamic Communication Network (DCN) describes the interactions over time among various communication nodes, and it is widely used in Big-data applications as a data source. As…