Burnaby, Canada

Yu Gong

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu Gong. Retrieved from https://idiyas.com/inventor/yu-gong-27u13j35

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yu Gong - Innovator in Machine Learning

Introduction

Yu Gong is a prominent inventor based in Burnaby, Canada. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on improving the efficiency and effectiveness of neural networks.

Latest Patents

Yu Gong holds a patent titled "Knowledge balancing self-distillation with adaptive mutual information (AMI)." This patent discloses solutions for enhanced machine learning by employing knowledge balancing self-distillation with adaptive mutual information. The patent outlines methods for determining task objectives for neural network modules, balancing objectives using outputs from various modules, and adjusting weights to minimize overall objectives. The approach combines mutual information and self-information to produce adaptive mutual information, leading to improved training outcomes for neural networks.

Career Highlights

Yu Gong is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning. His innovative work has positioned him as a key figure in the development of advanced technologies in this domain.

Collaborations

Yu has collaborated with notable colleagues, including Ye Yu and Gaurav Mittal, contributing to a dynamic and innovative work environment.

Conclusion

Yu Gong's contributions to machine learning through his patent demonstrate his commitment to advancing technology. His work continues to influence the field and inspire future innovations.

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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