Tao Tang

Fudan University, Beijing Jiaotong University

Papers

Total Citations

H-Index

About

Tao Tang is a researcher whose work spans mobile payment security and multimodal robotics, demonstrating a unique ability to tackle both digital and physical challenges. In the realm of cybersecurity, Tang has made significant contributions to fraud detection in mobile payments. Their 2021 paper, "Boosting Fraud Detection in Mobile Payment with Prior Knowledge," addresses the critical issue of robotic fraudulent transactions that threaten market fairness and cause financial losses. This work has garnered 11 citations, highlighting its relevance in the rapidly evolving field of mobile e-commerce security. Tang's approach integrates prior knowledge into machine learning models, offering a novel solution to a pervasive problem. On the robotics front, Tang's 2023 paper, "Design and locomotion analysis of an arm-wheel-track multimodal mobile robot," showcases their expertise in mechanical design and locomotion systems. This research, with 4 citations, explores versatile robotic platforms capable of navigating diverse terrains, combining arm, wheel, and track mechanisms. Tang's interdisciplinary work bridges the gap between cybersecurity and robotics, making them a notable figure in both fields. Their achievements reflect a commitment to solving real-world problems through innovative, cross-domain research.