Communication University of China | China
Author Profile
Scopus
🌐 XINGYU ZHANG: PIONEERING NETWORK SCIENCE IN THE AGE OF AI
🎓EARLY ACADEMIC PURSUITS
Xingyu Zhang began his academic journey with a Bachelor of Science in Communication Engineering from the Engineering University of Hebei (2016–2020), where he built a strong foundation in signal processing and network communication systems. His passion for understanding digital connectivity and data-driven intelligence led him to pursue a Master of Science in Artificial Intelligence at the prestigious Communication University of China (2023–2025). His graduate studies have deepened his expertise in machine learning, emotional computing, and network analytics—laying the groundwork for impactful research in AI and social networks.
💼PROFESSIONAL ENDEAVORS
Currently serving as a Key Team Member in a major national research initiative, Zhang is actively involved in a project funded by the National Natural Science Foundation of China (Grant No. 72474198). The project, titled "Co-evolution Mechanism and Guidance Strategies of Three-dimensional Network Public Opinion Information Dissemination Based on Emotional Computing and Information Authentication", explores how information spreads emotionally and authentically through social networks. Running from March 2024 onward, this project positions him at the forefront of data-driven public opinion modeling and network governance.
Zhang's primary research interests lie in the application of network science and graph analytics across social, biological, and technological networks. He specializes in influencer recommendation systems, leveraging complex data interactions to identify key opinion leaders within dynamic online environments. His work integrates semi-supervised learning, graph attention mechanisms, and emotional modeling, making significant strides in both theoretical frameworks and real-world implementations.
📑RESEARCH OUTPUT AND ACADEMIC CITES
Xingyu Zhang has co-authored influential publications in the high-impact journal Information Fusion. These include:
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“Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the Social Environment” (with Huang, D. and Song, J. B., 2025)
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“Dual-task Optimization with Multidimensional Feature Interaction for Influencer Recommendation” (with Song, J. B., Huang, D., and Yang, W. W., 2025)
These papers present cutting-edge models for bot detection and influencer analytics, making them highly citable in the fields of AI, social computing, and digital communication.
📌TECHNICAL INNOVATION AND PATENT
In addition to journal publications, Zhang is credited with a patent registered under the Communication University of China:
🌟IMPACT AND INFLUENCE
Zhang’s research has contributed significantly to understanding how influence propagates in a polarized digital space. His integration of emotional computing and information verification mechanisms offers new dimensions to curbing misinformation and enhancing online discourse quality. As social networks evolve into critical tools for communication, governance, and commerce, his work informs policy, product, and ethical frameworks.
🚀LEGACY AND FUTURE CONTRIBUTIONS
Poised at the intersection of artificial intelligence and communication science, Xingyu Zhang is expected to become a thought leader in trustworthy AI, digital public sphere modeling, and influence prediction. His ongoing contributions will shape how societies interact, how platforms recommend, and how data authenticity is maintained in the future of information ecosystems.
📑NOTABLE PUBLICATIONS
"Dual-task optimization with multi-dimensional feature interaction for influencer recommendation"
- Author: Song, J. B., Zhang, X. Y., Huang, D., & Yang, W. W.
- Journal: Information Fusion
- Year: 2025
"Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the Social Environment"
- Author: Huang, D., Song, J. B., & Zhang, X. Y.
- Journal: Information Fusion
- Year: 2025