West Lafayette, IN, United States of America

Yue Xing

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yue Xing. Retrieved from https://idiyas.com/inventor/yue-xing-t0n2lzza

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


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: Innovations by Yue Xing in Machine Learning

Introduction

Yue Xing is an accomplished inventor based in West Lafayette, IN (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of training machine learning models by optimizing data sets.

Latest Patents

Yue Xing holds a patent for "Ranked pruning of data set to train machine learning models." This technology provides systems, apparatuses, and methods that identify a plurality of data samples within a data set. In response to a trigger, the technology identifies a first subset of samples that are outside a range associated with a decision boundary of a machine learning model. It then removes this first subset from the data set to generate a modified training set. The machine learning model is subsequently trained based on this modified training set. Yue has 1 patent to his name.

Career Highlights

Yue Xing is currently employed at Meta Platforms, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work is instrumental in advancing the capabilities of artificial intelligence technologies.

Collaborations

Yue collaborates with talented individuals such as David Yan and Fei Wu, contributing to a dynamic and innovative work environment.

Conclusion

Yue Xing's contributions to machine learning through his patent demonstrate his commitment to advancing technology in this field. His innovative approach to data set optimization is paving the way for more efficient machine learning models.

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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