Xuya Cong

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Xuya Cong is a leading researcher in the field of social network security and artificial intelligence, with a primary focus on detecting malicious social robot accounts. Their most notable contribution is the development of an innovative social robot detection method using improved Graph Neural Networks (GNNs), published in 2024. This work addresses a critical challenge in modern cybersecurity: the proliferation of AI-controlled or human-operated fake accounts that threaten network integrity and social trust. By enhancing GNN architectures to handle the complexity and scale of massive social network nodes, Cong's method achieves superior accuracy in identifying these deceptive entities. Although a relatively recent publication, the work has already garnered 4 citations, signaling its growing influence in the cybersecurity community. Cong's research bridges graph theory and practical security applications, offering a robust framework for safeguarding online social ecosystems. Their contributions are particularly valuable for researchers and practitioners working on bot detection, network analysis, and AI safety, establishing Cong as an emerging authority in the fight against digital disinformation and automated threats.