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    Browsing by Author "Song, Bin"

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        Adversarial Attacks for Image Segmentation on Multiple Lightweight Models 

        Kang, Xu; Song, Bin; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
        Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas. However, in recent years, it was found that some adversarial samples easily fool the ...
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        Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation 

        Guo, Jie; Song, Bin; Chen, Siqi; Yu, Fei Richard; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
        Due to high mobility and high dynamic environments, object detection for vehicular networks is one of the most challenging tasks. However, the development of integration techniques, such as software-defined networking (SDN) ...
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        A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system 

        Chen, Yuwen; Song, Bin; Zeng, Yuan; Du, Xiaojiang; Guizani, Mohsen ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
        In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ...
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        Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation 

        Chen, Yuwen; Song, Bin; Zeng, Yuan; Du, Xiaojiang; Guizani, Mohsen ( Elsevier Ltd , 2021 , Article)
        In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ...
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        Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC 

        Wang, Dan; Qin, Hao; Song, Bin; Xu, Ke; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Elsevier B.V. , 2021 , Article)
        Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
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        A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G 

        Zhao, Di; Qin, Hao; Song, Bin; Zhang, Yanli; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
        A 5G network is the key driving factor in the development of vehicle-to-vehicle (V2V) communication technology, and V2V communication in 5G has recently attracted great interest. In the V2V communication network, users can ...

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