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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...
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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...
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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...
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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...
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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...