Haibin Yu

Haibin Yu is a researcher active in computer science and industrial engineering domains, with a focus on Industrial Wireless Networks, Cognitive Radio, and Deep Reinforcement Learning. Their collaborative work spans institutions and disciplines, addressing challenges in Edge Computing, Digital Twin, and Blockchain applications.

• Research Interests: Yu's work intersects Industrial Wireless Networks, AI in Healthcare, Multi-Domain Recommendation Systems, and Wireless Sensor Networks. Their contributions include optimizing resource allocation, enhancing secure task offloading, and developing frameworks for edge computing in manufacturing.
• Article Trends: Recent publications emphasize 5G Networks, Industrial Automation, and Digital Twin-Driven Collaborative Scheduling, reflecting a shift toward Intelligent Manufacturing and Trustworthy Computing in industrial contexts.
• Collaborations: Yu frequently collaborates with researchers like Peng Zeng, Chi Xu, and Wei Liang, indicating a strong network in wireless and AI-driven industrial systems.