Xiaokang Zhou

Semantic Neuron Networks Based Associative Memory Model

2017

In our previous work, Hopfield weight matrices were used as the primary inputs to learn associations among concepts or objects in different learning tasks. One of the challenging problems, however, was how to endow the …

Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT

2022 · IEEE Transactions on Industrial Informatics

The impact of Internet of Things (IoT) has become increasingly significant in smart manufacturing, while deep generative model (DGM) is viewed as a promising learning technique to work with large amount of continuously generated industrial …

Novel MITM attack scheme based on built-in negotiation for blockchain-based digital twins

2023 · Digital Communications and Networks

As smart contracts, represented by Solidity, become deeply integrated into the manufacturing industry, blockchain-based Digital Twins (DT) has gained momentum in recent years. Most of the blockchain infrastructures in widespread use today are based on …