Shanghai, China

Yongxiang Tao

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

Loading Chart...
3 patents (USPTO):

Title: Innovations of Yongxiang Tao

Introduction

Yongxiang Tao is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of technology, particularly in the area of the Internet of Vehicles. With a total of 3 patents to his name, his work reflects a deep understanding of complex systems and innovative methodologies.

Latest Patents

Yongxiang Tao's latest patents include a method, apparatus, and system for representing an Internet of Vehicles knowledge base. This invention provides a method for representing IOV knowledge based on a simplicial complex. The method involves representing k'-dimensional knowledge in a k-dimensional continuous space and defining a safe boundary of the IOV knowledge using the simplicial complex. His second patent focuses on a system and method of efficient, continuous, and safe learning using first principles and constraints. This computer-implemented method enables self-learning of a control system by creating an initial knowledge base and generating control commands derived from it.

Career Highlights

Yongxiang Tao is currently employed at Huawei Technologies Co., Limited, a leading global provider of information and communications technology infrastructure and smart devices. His role at Huawei allows him to work on cutting-edge technologies that shape the future of connectivity and automation.

Collaborations

Throughout his career, Yongxiang has collaborated with notable colleagues, including Jian Li and Mingbo Du. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Yongxiang Tao's contributions to technology and innovation are noteworthy. His patents demonstrate a commitment to advancing the Internet of Vehicles and self-learning systems. His work continues to influence the industry and inspire future innovations.

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