Sunnyvale, CA, United States of America

Songxiang Gu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):

Title: Innovations by Songxiang Gu: A Pioneer in Machine Learning

Introduction

Songxiang Gu, an accomplished inventor based in Sunnyvale, California, has made significant contributions to the field of machine learning through his inventive endeavors. With a portfolio of two patents, Gu exemplifies the innovative spirit necessary for advancing technology in today's data-driven world.

Latest Patents

Gu's latest patents reflect his focus on enhancing machine learning models. The first, titled "Unified parameter and feature access in machine learning models," provides a sophisticated system for processing data. This invention allows for the identification of parameter types associated with function calls, enabling the effective calculation of attributes linked to machine learning models. By using tailored value accessors for specific parameter types, the system enhances the model's capability to execute accurately based on the provided data.

His second patent, "Common feature protocol for collaborative machine learning," advances the concept of shared features among statistical models. This invention utilizes a hierarchical representation of namespaces to derive features necessary for model computation. By applying specific formulas to subsets of these shared features, Gu's work facilitates collaboration among various execution environments, significantly improving the efficiency of collaborative machine learning applications.

Career Highlights

Currently affiliated with Microsoft Technology Licensing, LLC, Songxiang Gu has contributed to numerous advancements in technology through his research and inventions. His expertise in machine learning positions him as a key player in the ongoing evolution of data processing technologies.

Collaborations

Throughout his career, Gu has collaborated with notable colleagues, including Joel Daniel Young and Chang-Ming Tsai. These partnerships have likely enhanced the innovation process, combining diverse expertise to achieve groundbreaking results in their projects.

Conclusion

Songxiang Gu's innovative work in machine learning demonstrates his commitment to pushing the boundaries of technology. With his thoughtful inventions, he continues to contribute valuable insights and solutions in the realm of data processing, positioning him as an influential figure in the industry.

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