Nanjing, China

Xuejun Yao


Average Co-Inventor Count = 3.1

ph-index = 1


Company Filing History:


Years Active: 2020-2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Xuejun Yao: Innovator in Network Congestion Control

Introduction

Xuejun Yao is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of network technology, particularly in network congestion control. With a total of 2 patents, his work has been instrumental in advancing the efficiency of network systems.

Latest Patents

Xuejun Yao's latest patents include a "Network congestion control method, apparatus, device, and system," and a "Service traffic allocation method and apparatus." The first patent discloses a method where a first switch receives a target signaling packet from a second switch during a network congestion status. This packet carries flow source information, allowing the first switch to send target flow control information to a corresponding network device. The second patent outlines a method where a first leaf node sends probe packets through multiple physical links to calculate transmission parameters, enabling efficient service traffic allocation.

Career Highlights

Xuejun Yao is currently employed at Huawei Technologies Co., Limited, a leading global provider of information and communications technology (ICT) infrastructure and smart devices. His work at Huawei has allowed him to focus on innovative solutions that address critical challenges in network management.

Collaborations

Throughout his career, Xuejun has collaborated with notable colleagues, including Wenbin Ju and Jinfeng Yan. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Xuejun Yao's contributions to network technology through his patents and work at Huawei Technologies Co., Limited highlight his role as an influential inventor in the field. His innovative approaches to network congestion control and service traffic allocation continue to shape the future of network systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…