Search Results - Cheng Ju

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    LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions

    LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions by Cheng Ju, Yuxin Chang, Yuansha Xie, Dina Li

    Published 2025-01-01

    Autonomous driving faces significant object detection challenges under complex backgrounds characterized by dense scenes, object occlusion, long-range targets, and extreme weather conditions. These challenges are further exacerbated in adverse weather such as rain, snow, and fog, leading to decrease...

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    Comprehensive Eye Diagram Analysis: A Transfer Learning Approach

    Comprehensive Eye Diagram Analysis: A Transfer Learning Approach by Danshi Wang, Yilan Xu, Jianqiang Li, Min Zhang, Jin Li, Jun Qin, Cheng Ju, Zhiguo Zhang, Xue Chen

    Published 2019-01-01

    A deep transfer learning (TL)-based comprehensive eye diagram analysis and diagnosis scheme that can output essential eye diagram parameters, estimate fiber link length, calculate Q-factor, and diagnose device imperfection-induced impairments is proposed. TL can be used to extract system information...

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