Yanzhao Su

Xi'an High Tech University, Chongqing University

Papers

Total Citations

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About

Yanzhao Su is a researcher at the forefront of autonomous systems and intelligent robotics, with key contributions in 3D perception and bio-inspired control. His most cited work, "Point-Voxel and Bird-Eye-View Representation Aggregation Network for Single Stage 3D Object Detection" (2022, 23 citations), addresses a critical challenge in LiDAR-based perception for autonomous driving: the loss of geometric detail during voxel downsampling. Su’s innovative network architecture fuses point-voxel and bird’s-eye-view representations, achieving high accuracy without sacrificing computational efficiency—a breakthrough for real-time systems. In parallel, his research on "Bio-inspired algorithms for industrial robot control using deep learning methods" (2021, 12 citations) bridges nature-inspired optimization with modern neural networks, advancing adaptive control in manufacturing. Together, these works demonstrate Su’s ability to solve fundamental trade-offs between speed and precision in perception and control. His impact is evident in the growing adoption of his representation aggregation techniques in autonomous vehicle research, and his cross-disciplinary approach—merging computer vision, robotics, and optimization—positions him as a rising voice in intelligent system design. For students and researchers, Su’s work offers a masterclass in balancing theoretical rigor with practical deployment constraints.