Yorktown Heights, NY, United States of America

Kun Xu

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Bellevue, WA (US) (2021 - 2023)
  • Yorktown Heights, NY (US) (2021 - 2024)

Company Filing History:


Years Active: 2021-2024

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7 patents (USPTO):

Title: Kun Xu: Innovator in Natural Language Processing and Graph Analytics

Introduction

Kun Xu is a prominent inventor based in Yorktown Heights, NY (US). He has made significant contributions to the fields of natural language processing and graph analytics, holding a total of seven patents. His innovative work has paved the way for advancements in machine translation and data analysis.

Latest Patents

Among his latest patents is a method for natural language to structured query generation via paraphrasing. This invention involves processing input questions presented in natural language, preprocessing them to identify condition values for possible Structured Query Language (SQL) queries, and utilizing a paraphrasing model to rank these queries. The highest-ranked SQL query is then executed against a relational database to find a response to the input question. Another notable patent focuses on graph analytics using random graph embedding. This patent provides task-dependent analysis of various types of data graphs, based on the generation of a random graph and a graph feature matrix that reflects the distance between the random graph and the data graph.

Career Highlights

Kun Xu has worked with renowned companies such as International Business Machines Corporation (IBM) and Tencent America LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology.

Collaborations

Some of his notable coworkers include Lingfei Wu and Wei Zhang. Their collaborative efforts have further enhanced the impact of his inventions in the industry.

Conclusion

Kun Xu's contributions to natural language processing and graph analytics demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of complex data interactions and the potential for machine learning applications.

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