Yanzheng Chen

Dalian Maritime University, Guangxi Hydraulic Power Machinery Research Institute

Papers

Total Citations

H-Index

About

Yanzheng Chen is a researcher whose work bridges computer vision and robotics, with a primary focus on underwater image enhancement and autonomous systems for hazardous environments. His most impactful contribution is the development of the Underwater Attentional Generative Adversarial Network (UAGAN), which has garnered 47 citations since 2023. This innovative framework integrates dense concatenation with global attention mechanisms to selectively suppress noise and prevent over-enhancement, addressing a critical challenge in underwater computer vision. Chen’s approach has significantly improved image quality for marine exploration and environmental monitoring, offering a robust solution for low-visibility conditions. Beyond underwater imaging, he has explored robot master-slave control algorithms for nuclear power maintenance, demonstrating the versatility of his research in safety-critical applications. His work on teleoperation systems, though with fewer citations (3), underscores his commitment to real-world deployment in high-risk scenarios. Chen’s contributions are notable for their practical impact, combining theoretical rigor with engineering solutions that advance both visual perception and robotic control in challenging domains.