Wei Yu

Publications

Towards Generative Adversarial Network on Industrial Internet of Things

October 1, 2022

Author(s)

Cheng Qian, Wei Yu, Chao Lu, David W. Griffith, Nada T. Golmie

Machine learning, as a viable way of conducting data analytics, has been successfully applied to a number of areas. Nonetheless, the lack of sufficient data is

Towards an Integrated Simulation Platform for Internet of Vehicles

August 11, 2022

Author(s)

Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada T. Golmie

The interconnection and digitization of the physical world has increased dramatically with the widespread deployment of network communication and the rapid

Survey of Graph Neural Networks and Applications

July 28, 2022

Author(s)

Fan Liang, Cheng Qian, Wei Yu, David W. Griffith, Nada T. Golmie

The advance of deep learning has shown great potential in applications (speech, image and video classification). In these applications, deep learning models are

Towards Deep Transfer Learning in Industrial Internet of Things

February 26, 2021

Author(s)

Xing Liu, Wei Yu, Fan Liang, David Griffith, Nada T. Golmie

In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021

Author(s)

Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie

Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of

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Wei Yu ()

Publications