Yuhao Zhu

Yuhao Zhu is a Researcher with expertise in Computer Science and Engineering, contributing to fields like Railway Sciences, Face Recognition, and Industrial Anomaly Detection. He has published in IEEE journals and conferences, focusing on digital transformation in railways, 5G network applications, and AI-driven face representation interpretation.

Research Trends from his publications include:

• 2024: Autonomous intelligent high-speed railway systems and interpretable deep face recognition via attribute recovery.
• 2023: Railway digitalization, feature factorization for industrial anomalies, and ViT-based face recognition frameworks.
• 2022: Integration of information networks in high-speed railway environments using small base stations.

Collaboration with researchers like Ping Li, Zhe Sun, and Min Ren highlights cross-disciplinary work in transportation, security, and computer vision domains.