Shenzhen, China

Xing Wang

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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6 patents (USPTO):

Title: The Innovative Contributions of Xing Wang

Introduction

Xing Wang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in the areas of antenna design and machine learning. With a total of 6 patents to his name, Wang continues to push the boundaries of innovation.

Latest Patents

Wang's latest patents include an antenna assembly and electronic apparatus. This invention features a first magnetic dipole antenna and a first electric dipole antenna, where the radiators of both antennas are connected to a first feed point. Notably, the radiator of the first magnetic dipole antenna is perpendicular to that of the first electric dipole antenna. Additionally, the radiator of the first electric dipole antenna has a second feed point, which is connected to the first feed point. Another significant patent involves a model training method, machine translation method, computer device, and storage medium. This method utilizes a neural network model that includes multiple attention networks to enhance the training process and improve machine translation capabilities.

Career Highlights

Throughout his career, Xing Wang has worked with notable companies such as Honor Device Co., Ltd. and Tencent Technology (Shenzhen) Company Limited. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking projects.

Collaborations

Wang has collaborated with talented individuals in the industry, including Zhaopeng Tu and Longyue Wang. These partnerships have fostered an environment of creativity and innovation, leading to the development of advanced technologies.

Conclusion

Xing Wang's contributions to technology through his patents and collaborations highlight his role as a key innovator in the field. His work continues to inspire future advancements in antenna design and machine learning.

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