Kirkland, WA, United States of America

Li Xiong

USPTO Granted Patents = 7 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Redmond, WA (US) (2022)
  • Kirkland, WA (US) (2022 - 2024)

Company Filing History:


Years Active: 2022-2024

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7 patents (USPTO):

Title: Innovations of Li Xiong in Document Processing

Introduction

Li Xiong is an accomplished inventor based in Kirkland, WA, with a notable portfolio of seven patents. Her work primarily focuses on advancements in document processing and machine learning technologies. As a key member of Microsoft Technology Licensing, LLC, she has contributed significantly to the field of information retrieval and data analysis.

Latest Patents

Li Xiong's latest patents include innovative systems for extracting key phrase candidates from documents and producing topical authority rankings. One of her systems is designed to extract key phrase candidates from a corpus of documents using a processor and memory. This system runs a key phrase model that converts extracted key phrases into feature vectors while filtering out duplicates through a trained classifier. Another patent involves document body vectorization and noise-contrastive training, which generates document embedding vectors by combining subpart embeddings. This method enhances the robustness of search processing by refining training datasets through generated ranking scores.

Career Highlights

Throughout her career, Li Xiong has demonstrated a strong commitment to advancing technology in document processing. Her innovative approaches have not only improved the efficiency of information retrieval but have also set new standards in the industry. Her contributions at Microsoft Technology Licensing, LLC, have positioned her as a leading figure in her field.

Collaborations

Li Xiong has collaborated with talented individuals such as Arnold Overwijk and Junaid Ahmed, further enhancing her work through teamwork and shared expertise.

Conclusion

Li Xiong's contributions to document processing and machine learning exemplify her innovative spirit and dedication to technology. Her patents reflect a deep understanding of complex systems and a commitment to improving how we interact with information.

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