Redmond, WA, United States of America

Yuting Jia

This inventor holds 6 USPTO granted patents and 5 published patent applications and 2 EPO patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuting Jia. Retrieved from https://idiyas.com/inventor/yuting-jia

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

USPTO Granted Patents = 6 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.9

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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6 patents (USPTO):Explore Patents

Title: Yuting Jia: Innovator in Machine Learning and Electronic Transaction Security

Introduction

Yuting Jia is a prominent inventor based in Redmond, WA (US), known for her contributions to the fields of machine learning and electronic transaction security. With a total of 6 patents to her name, she has made significant strides in developing innovative solutions that enhance data processing and transaction safety.

Latest Patents

One of Yuting Jia's latest patents is focused on machine learning outlier detection using a method known as Weighted Histogram-based Outlier Scoring (W-HBOS). This invention facilitates various automatic tasks by detecting outliers in datasets. The process begins with extracting an initial set of features from a processed dataset, which is then filtered using robust statistics for size reduction. A second round of feature selection is conducted based on maximum-entropy estimation, ensuring that the selected features provide maximum information for detecting anomalies. The transformed features are then used in a W-HBOS-based model for effective outlier detection, allowing for the identification of outliers and the generation of reason codes for executing desired automatic tasks.

Another significant patent by Yuting Jia involves systems and methods for authenticating electronic transactions. This invention includes devices and methods designed to secure electronic transactions within a computing network. The system receives a transaction and accesses contextual data related to it. It applies authentication decision rules to this data to generate initial authentication assessment information. This information is then condensed into an authentication assessment indicator, which is used to make transaction authentication decisions, ultimately determining whether to process or deny the transaction.

Career Highlights

Yuting Jia is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and contribute to the advancement of technology. Her work has been instrumental in enhancing the security and efficiency of electronic transactions and data processing.

Collaborations

Yuting has collaborated with notable colleagues, including Jayaram N M Nanduri and Anand Ravindra Oka, further enriching her work through shared expertise and insights.

Conclusion

Yuting Jia's innovative contributions to machine learning and electronic transaction security exemplify her commitment to advancing technology. Her patents reflect a deep understanding of complex systems and a dedication to improving user experiences in the digital realm.

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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