Longbo Huang

Title: Profile of Inventor Longbo Huang: Innovating Dynamic Network Risk Prediction

Introduction: Longbo Huang is an innovative inventor based in Beijing, China, known for his significant contributions to the field of dynamic network risk prediction. With a focus on leveraging advanced technologies, he has made strides in the understanding and management of network risks through his patented methods.

Latest Patents: Longbo Huang holds a patent titled "Dynamic Network Risk Predicting Method Based on a Graph Neural Network." This invention discloses a method that involves several intricate steps: collecting network data to construct a network data sequence graph, extracting the time sequence to obtain a time sequence feature graph, and identifying network attribute features, structure features, and change features. The process culminates in constructing an anomaly detection model for dynamic network risk prediction.

Career Highlights: Longbo Huang is associated with the Chinese Academy of Sciences, where he applies his expertise to research and develop innovative solutions for network analysis and risk assessment. His work is integral to advancing the understanding of dynamic networks in various contexts.

Collaborations: Throughout his career, Longbo has collaborated with notable colleagues such as Desheng Wu and Lei Li. These partnerships have enriched his research endeavors and facilitated the advancement of innovative technologies in network risk management.

Conclusion: Longbo Huang's contributions to the development of dynamic network risk predicting methods highlight his dedication to innovation in technology. With a unique approach that combines graph neural networks and risk analysis, his work stands to influence the future of network management and security. His patent underscores the potential for continued advancements in this vital area of research.