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    Chapter and Conference Paper

    MVFAN: Multi-view Feature Assisted Network for 4D Radar Object Detection

    4D radar is recognized for its resilience and cost-effectiveness under adverse weather conditions, thus playing a pivotal role in autonomous driving. While cameras and LiDAR are typically the primary sensors u...

    Qiao Yan, Yihan Wang in Neural Information Processing (2024)

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    Chapter and Conference Paper

    RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving

    In this paper, we present RPF3D, an innovative single-stage framework that explores the complementary nature of point clouds and range images for 3D object detection. Our method addresses the sampling region imba...

    Yihan Wang, Qiao Yan in Neural Information Processing (2024)

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    Article

    Android malware adversarial attacks based on feature importance prediction

    In the last decade, malicious Android applications have increased rapidly because of the popularity of Android mobile devices. In particular, some Android malware starts to use the adversarial examples generat...

    Yan** Guo, Qiao Yan in International Journal of Machine Learning and Cybernetics (2023)

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    Article

    An actor-critic reinforcement learning-based resource management in mobile edge computing systems

    Reinforcement learning (RL) as an effective tool has attracted great attention in wireless communication field nowadays. In this paper, we investigate the offloading decision and resource allocation problem in...

    Fang Fu, Zhicai Zhang, Fei Richard Yu in International Journal of Machine Learning … (2020)

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    Article

    Automatically synthesizing DoS attack traces using generative adversarial networks

    Artificial intelligence (AI) technology ruling people is still the scene in the science fiction film, but hackers using AI technology against existing security measures is an inescapable trend. Network intrusi...

    Qiao Yan, Mingde Wang, Wenyao Huang in International Journal of Machine Learning … (2019)