Xian, China

Jia Fei Yang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations of Jia Fei Yang

Introduction

Jia Fei Yang is an accomplished inventor based in Xian, China. He has made significant contributions to the field of data visualization through his innovative patent. His work focuses on enhancing the representation of higher-dimensional data sets, which is crucial in various applications across technology and research.

Latest Patents

Jia Fei Yang holds a patent for a method titled "Visual representation for higher dimension data sets." This patent describes a technique for adding dimensions to a visual representation. The method involves obtaining a data set with multiple rows and columns, dividing these dimensions into groups, and determining a coordinate system for each group. For each row in the data set, data points are determined in the corresponding coordinate system, and these points are connected with lines to create a visual representation. The patent allows for the use of both two-dimensional and three-dimensional coordinate systems, providing flexibility in data visualization.

Career Highlights

Jia Fei Yang is associated with International Business Machines Corporation (IBM), where he applies his expertise in data visualization. His work at IBM has allowed him to contribute to cutting-edge technologies and innovations in the field. With a focus on improving data representation, he has positioned himself as a valuable asset in the tech industry.

Collaborations

Jia Fei Yang has collaborated with notable colleagues, including Chun Lei Xu and Xiao Bin Sun. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas in data visualization.

Conclusion

Jia Fei Yang's contributions to the field of data visualization through his patent and work at IBM highlight his role as a leading inventor. His innovative methods for representing higher-dimensional data sets are paving the way for advancements in technology and research.

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