Yuxuan Jia

Papers

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About

Yuxuan Jia is a researcher at the forefront of intelligent robotics and computer vision, with a particular focus on applying deep neural networks to real-world sports applications. Jia’s most cited work, "Intelligent Tennis Robot Based on a Deep Neural Network" (2019, 10 citations), introduces a significant enhancement to the YOLOv3 object detection algorithm. By integrating depth-separable convolution networks and adding residual blocks, Jia improved detection accuracy and performance for tennis ball recognition in robotic systems. This contribution demonstrates a practical fusion of deep learning and robotics, enabling more efficient and responsive autonomous agents in dynamic environments. Though early in their career, Jia’s work highlights a commitment to advancing real-time visual perception and robotic interaction. Their research stands out for its direct application to sports technology, offering a blueprint for intelligent systems that can operate with speed and precision. As Jia continues to develop novel architectures and algorithms, their contributions are poised to influence both the fields of computer vision and autonomous robotics, making them a promising voice in AI-driven engineering.