Palo Alto, CA, United States of America

Bo Long

This inventor holds 27 USPTO granted patents and 11 published patent applications, primarily in Machine Learning Optimization. Top assignees: Microsoft Technology Licensing, LLC, The State University of New York, Linkedin Corporation. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bo Long. Retrieved from https://idiyas.com/inventor/bo-long-lmugkkh3

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 27 

% Patents Active = 77.8

Average Co-Inventor Count = 3.2

ph-index = 7

Forward Citations = 137(Granted Patents)


Location History:

  • Philadelphia, PA (US) (2012 - 2014)
  • Mountain View, CA (US) (2012 - 2016)
  • Palo Alto, CA (US) (2013 - 2023)

Company Filing History:


Years Active: 2012-2026

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Areas of Expertise:
Embedding Optimization
Feature Removal Framework
Data Sampling
Distributed Learning
Personalized Query Suggestions
Neural Search Generation
Natural Language Processing
Content Response Prediction
Churn Probability Determination
Probabilistic Relational Clustering
Spectral Clustering
Cross Domain Learning
27 patents (USPTO):Explore Patents

Title: Bo Long: Innovator in Machine Learning Technologies

Introduction

Bo Long, based in Palo Alto, CA, is a prominent inventor with a remarkable portfolio of 26 patents. His contributions primarily revolve around advanced machine learning techniques, showcasing his commitment to enhancing technology through innovative solutions.

Latest Patents

Among his latest inventions is a patent for a "Feature Removal Framework to Streamline Machine Learning." This system incorporates a method to calculate the resource overhead of a baseline machine learning model, allowing for selective removal of less important features to optimize performance. Furthermore, Bo's patent titled "Data Sampling for Model Exploration Utilizing a Plurality of Machine Learning Models" outlines a method for processing datasets efficiently, involving random selection to create sampled training and evaluation datasets.

Career Highlights

Bo Long's career includes significant positions at renowned organizations such as Microsoft Technology Licensing, LLC and The Research Foundation for the State University of New York. His experience in these institutions has played a crucial role in the development of his innovative machine learning frameworks.

Collaborations

Throughout his career, Bo has worked alongside talented individuals, including Zhongfei Zhang and Huiji Gao. Their collective expertise has likely contributed to the advancement of various projects aimed at improving machine learning and data processing methodologies.

Conclusion

Bo Long's contributions to the field of machine learning are invaluable, as evidenced by his extensive patent portfolio and collaborative efforts. His innovative approaches continue to pave the way for streamlined technologies that enhance functionality and efficiency in artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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