Milpitas, CA, United States of America

Ye Chen

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.8

ph-index = 3

Forward Citations = 27(Granted Patents)


Location History:

  • Milpitas, CA (US) (2018 - 2019)
  • Islandia, NY (US) (2019)

Company Filing History:


Years Active: 2018-2019

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5 patents (USPTO):Explore Patents

Title: Ye Chen - Innovator in Data Analytics

Introduction

Ye Chen is a prominent inventor based in Milpitas, California, known for his contributions to the field of data analytics. With a total of five patents to his name, he has made significant strides in enhancing graphical user interfaces and collaborative data analysis.

Latest Patents

Ye Chen's latest patents include "Predictive Graph Selection" and "Collaborative Data Analytics Application." The "Predictive Graph Selection" patent outlines a process for configuring a dashboard of a graphical user interface. This process involves obtaining identifiers of metrics, accessing a graph-effectiveness matrix, and selecting multiple graphs to represent metrics visually. The "Collaborative Data Analytics Application" patent describes a method for conducting collaborative sessions between two analytics graphical user interfaces. This process includes sharing graphs between users and inferring preferences based on previous interactions.

Career Highlights

Ye Chen is currently employed at CA, Inc., where he continues to innovate and develop new technologies in data analytics. His work has significantly impacted how users interact with data through graphical representations.

Collaborations

Some of Ye Chen's notable coworkers include Jin Zhang and Chi Zhang, who contribute to the collaborative environment at CA, Inc. Their teamwork fosters innovation and enhances the development of new solutions in the field.

Conclusion

Ye Chen's contributions to data analytics through his patents and collaborative efforts at CA, Inc. highlight his role as a key innovator in the industry. His work continues to shape the future of graphical user interfaces and collaborative data analysis.

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