Yuanhao He

Title: Innovations of Yuanhao He in Distributed Computing

Introduction

Yuanhao He is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of distributed computing, particularly through his innovative patent. His work focuses on enhancing the efficiency of network flow scheduling systems.

Latest Patents

Yuanhao He holds a patent for a "DQN-based distributed computing network coordinate flow scheduling system and method." This patent discloses a method that establishes environmental feature data based on distributed computing task information and the congestion situation of a port queue in a programmable forwarding platform. The method involves training a deep reinforcement learning intelligent agent using a DQN framework, which outputs abstract actions that are then mapped into executable scheduling policies. The system iteratively optimizes the agent based on real-time rewards, enhancing the overall performance of distributed computing tasks.

Career Highlights

Yuanhao He is currently associated with Zhejiang Lab, where he continues to work on advanced computing technologies. His expertise in deep reinforcement learning and distributed systems has positioned him as a key figure in his field.

Collaborations

Yuanhao collaborates with talented individuals such as Yuan Liang and Geyang Xiao, contributing to innovative projects and research initiatives.

Conclusion

Yuanhao He's contributions to distributed computing through his patent demonstrate his commitment to advancing technology in this area. His work not only enhances the efficiency of computing systems but also showcases the potential of deep reinforcement learning in practical applications.