Shanghai, China

Yue Qi

This inventor holds 1 USPTO granted patent. Top assignee: Sas Institute Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yue Qi. Retrieved from https://idiyas.com/inventor/yue-qi-dddffto3

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


% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Yue Qi

Introduction

Yue Qi is a prominent inventor based in Shanghai, China. She has made significant contributions to the field of machine learning and data analysis. Her innovative work has led to the development of a unique patent that addresses the detection of rare events through advanced technology.

Latest Patents

Yue Qi holds a patent titled "Advanced detection of rare events and corresponding interactive graphical user interface." This system is designed to obtain observations from a dataset and generate a set of training partitions based on these observations. It creates an ensemble of machine-learning models that can detect whether new data is indicative of a specific event. The system is capable of updating itself by incorporating new data as input to an unsupervised machine-learning model, thereby enhancing its accuracy and efficiency. This patent showcases her expertise in integrating machine learning with practical applications.

Career Highlights

Yue Qi is currently employed at SAS Institute Inc., where she continues to innovate and develop cutting-edge solutions. Her work at SAS Institute has allowed her to collaborate with other talented professionals in the field. She has made a notable impact on the company's projects and initiatives.

Collaborations

Some of her coworkers include Jeffrey Todd Miller, Jr. and Thomas Francis Mutdosch. Their collaboration has fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Yue Qi's contributions to the field of machine learning and her innovative patent demonstrate her commitment to advancing technology. Her work not only enhances the capabilities of data analysis but also sets a precedent for future innovations in the industry.

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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