Jingyang Yan

Title: Jingyang Yan: Innovator in Deep Reinforcement Learning for Edge Computing

Introduction

Jingyang Yan is a prominent inventor based in Beijing, China. He has made significant contributions to the field of information processing, particularly in the context of edge computing. His innovative work focuses on utilizing deep reinforcement learning to enhance the efficiency and effectiveness of edge computing servers.

Latest Patents

Jingyang Yan holds a patent for a "Deep reinforcement learning-based information processing method and apparatus for edge computing server." This patent describes a method that determines whether a target edge computing server enters an alert state based on the quantity of service requests received within a preset time period. When the server enters this alert state, the method involves obtaining system status information from a memory library, computing an optimal action value using a deep reinforcement learning model, and generating an action to be performed on the server. This innovative approach aims to improve the responsiveness and performance of edge computing systems.

Career Highlights

Jingyang Yan is affiliated with the Beijing University of Posts and Telecommunications, where he contributes to research and development in advanced computing technologies. His work is characterized by a strong emphasis on practical applications of deep learning techniques in real-world scenarios.

Collaborations

Jingyang Yan collaborates with notable colleagues, including Lanlan Rui and Yang Yang, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in the field of edge computing.

Conclusion

Jingyang Yan's innovative contributions to deep reinforcement learning and edge computing exemplify the potential of technology to transform information processing. His patent and ongoing research efforts position him as a key figure in advancing this critical area of study.