X≈ WH, W∈ RM× R, H∈ RN× R,(1) to 'explain'the data matrix X, where W≥ 0, H≥ 0, and
R≤ min {M, N}. At first glance, NMF is nothing but an alternative factorization model to …

Community detection is a popular yet thorny issue in social network analysis. A symmetric
and nonnegative matrix factorization (SNMF) model based on a nonnegative multiplicative …

Image denoising is often empowered by accurate prior information. In recent years, data-
driven neural network priors have shown promising performance for RGB natural image …

Hyperspectral images (HSIs) can describe the subtle differences in the spectral signatures of
materials. However, they have low spatial resolution due to various hardware limitations …

The emerging uplink (UL) and downlink (DL) decoupled radio access networks (RAN) has
attracted a lot of attention due to the significant gains in network throughput, load balancing …

Unmanned aerial vehicles (UAVs) are projected to be utilized in a variety of unexpected
applications, including agriculture, firefighting, emergency response, intelligent …

Due to the limited computation resources and lifetime of user equipment, we study the
energy minimization problem for computation offloading in cognitive radio networks (CRNs) …

In this article, relay-assisted computation offloading (RACO) is investigated, where user A
wishes to share the results of computational tasks with another user B with the assistance of …

Backscatter communication, as an important technique in green Internet of Things, has been
concerned by academic and industry to improve system capacity and simultaneously reduce …

In this article, we study the symmetric nonnegative matrix factorization (SNMF) which is a
powerful tool in data mining for dimension reduction and clustering. The main contributions …