San Jose, CA, United States of America

Bohong Zhao


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Bohong Zhao: Innovator in Machine Learning and Online Networks

Introduction

Bohong Zhao is a prominent inventor based in San Jose, California. He has made significant contributions to the fields of machine learning and online networking. With a total of two patents to his name, Zhao's work focuses on enhancing the efficiency and effectiveness of online interactions.

Latest Patents

Zhao's latest patents include "Recommending edges via importance aware machine learned model" and "Heterogeneous edges in an online network for building active online communities." The first patent presents a machine learning model that ranks entities across various combinations of node types and edge types. This innovative solution calibrates scores from Edge-FPR models to a unified scale and optimizes for a common downstream metric. The second patent outlines techniques for generating and utilizing heterogeneous edges in an online connection network. This involves identifying users and generating a ranked set of entities based on user attributes, ultimately enhancing user engagement through tailored interactions.

Career Highlights

Bohong Zhao is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work at Microsoft has allowed him to explore the intersection of machine learning and online community building, contributing to advancements in these areas.

Collaborations

Zhao has collaborated with notable colleagues, including Parag Agrawal and Aastha Jain. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Bohong Zhao's contributions to machine learning and online networking demonstrate his commitment to advancing technology. His patents reflect a deep understanding of user interactions and the potential of machine learning to enhance these experiences.

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