Yiwei Cheng

University of Auckland, China University of Geosciences

Papers

Total Citations

H-Index

About

Yiwei Cheng is a researcher whose work bridges the critical intersection of robotics and intelligent industrial diagnostics. Their early foundational research focused on developing fully automated, vision-guided robotic systems for the identification and manipulation of complex 3D objects, a field still undergoing major development worldwide. This work, published in 2008 and garnering 9 citations, contributed to the push toward more robust, intelligent, and flexible robotic systems capable of operating without human intervention. More recently, Cheng has turned their expertise to the pressing challenge of intelligent fault diagnosis in rotating machinery—a cornerstone of ship operations and functionality. Their 2025 paper introduces a novel approach that leverages physical information and contrastive learning to overcome extreme sample imbalance conditions, a common and significant hurdle in real-world industrial settings. This work, already accumulating citations, demonstrates Cheng’s ability to apply advanced machine learning techniques to ensure timely and accurate detection of potential faults, guiding efficient maintenance and operational safety. Cheng’s career reflects a consistent drive to enhance both the autonomy of robotic systems and the reliability of critical industrial equipment.