Zhiwei Guo

TL;DR: This article proposes secure AIoT for implicit group recommendations (SAIoT-GRs) with a collaborative Bayesian network model and noncooperative game introduced as algorithms and is able to maximize the advantages of the two modules.

TL;DR: A Collaborative neural network-based spammer detection mechanism (Co-Spam) in social media applications that introduces multisource information fusion by collaboratively encoding long-term behavioral and semantic patterns so that a more comprehensive representation of the feature space can be captured for further spamming detection.

TL;DR: A fuzzy detection system for rumors through explainable adaptive learning using a graph embedding-based generative adversarial network (Graph-GAN) model that introduces continuous adversarial training between a generator and a discriminator for unsupervised decoding.

TL;DR: A Deep Graph neural network-based Spammer detection (DeG-Spam) model under the perspective of heterogeneous cyberspace is proposed and representations for occasional relations and inherent relations are separately modelled.

TL;DR: In this paper, the mechanism of substrate removal in anammox and partial denitrification coupling nitrogen removal is described in detail, and the differences in process methods, experimental conditions, and sludge choices between the rapid start-up and stable operation stages of the reactor, there are significant differences in substrate inhibition.