Beijing, China

Xi Jun Ma

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2009-2013

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3 patents (USPTO):Explore Patents

Title: Innovations of Xi Jun Ma

Introduction

Xi Jun Ma is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of treemap visualization. With a total of 3 patents, his work focuses on improving the representation and usability of data through innovative methods.

Latest Patents

One of his latest patents is titled "Constructing a labeled treemap with balanced layout." This invention provides a method and system for creating a labeled treemap that ensures the area occupied by each leaf node corresponds to its designated weight. By introducing the concept of density into the labeled treemap, the invention prevents the occurrence of invisible leaf nodes, enhancing the overall visibility and usability of the treemap.

Another significant patent is "Method and apparatus for improving the visibility of a treemap." This invention improves treemap visibility by offsetting the area of a parent node relative to a bounding box containing all of its child nodes. This method highlights parent-child relationships within the treemap, making structural information more apparent and easier to recognize.

Career Highlights

Xi Jun Ma has worked with prominent companies such as IBM and Nuance Communications, Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in data visualization.

Collaborations

Throughout his career, Xi Jun Ma has collaborated with talented individuals, including Hao Lu and Martin Miles Wattenberg. These collaborations have further enriched his work and contributed to the advancement of his inventions.

Conclusion

Xi Jun Ma's innovative contributions to treemap visualization demonstrate his commitment to enhancing data representation. His patents reflect a deep understanding of the complexities involved in visualizing information effectively.

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