Shenzhen, China

Fang Liu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Location History:

  • Shenzhen, CN (2021)
  • Hunan, CN (2023)

Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Fang Liu in Inductive Filtering Transformers and Dynamic Information Systems.

Introduction

Fang Liu is a notable inventor based in Shenzhen, China. He has made significant contributions to the fields of inductive filtering transformers and dynamic information presentation systems. With a total of 2 patents, his work reflects a commitment to advancing technology and improving user experiences.

Latest Patents

Fang Liu's latest patents include a compact design method for inductive filtering transformers. This innovative design adopts an approximative zero-impedance approach while ensuring optimal filtering performance. The primary goal is to minimize the distance from the transformer core center to the outermost winding, balancing winding impedance matching with transformer size optimization. This method is particularly beneficial for applications with limited installation space. Another significant patent is related to a dynamic information presentation system, method, and apparatus. This method involves obtaining a dynamic information flow for a user account, determining a promoted account based on geographic locations, and displaying the relevant dynamic information flow.

Career Highlights

Fang Liu is currently employed at Tencent Technology (Shenzhen) Company Limited, where he continues to innovate and develop new technologies. His work at Tencent has allowed him to explore various applications of his inventions in real-world scenarios.

Collaborations

Fang Liu collaborates with talented individuals such as Qianyi Liu and Runmin Zou, contributing to a dynamic and innovative work environment.

Conclusion

Fang Liu's contributions to technology through his patents demonstrate his expertise and dedication to innovation. His work in inductive filtering transformers and dynamic information systems showcases the potential for advancements in these fields.

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