Iowa City, IA, United States of America

Lu Ou

This inventor holds 1 USPTO granted patent. Top assignee: Act, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lu Ou. Retrieved from https://idiyas.com/inventor/lu-ou

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Lu Ou in Digital Learning Systems.

Introduction

Lu Ou is an accomplished inventor based in Iowa City, IA (US). He has made significant contributions to the field of digital learning and tutoring systems. His innovative approach focuses on enhancing learner interactions through advanced machine learning techniques.

Latest Patents

Lu Ou holds a patent for "Deep knowledge tracing with transformers." This invention involves digital learning or tutoring systems that embed a trained machine learning knowledge tracing engine. The system utilizes an array for learner interactions to create a static representation corresponding to prior learner interactions. It determines a contextualized interaction representation based on these interactions. The digital tutoring systems calculate attention weights based on the time gap between learner interactions, allowing for personalized recommendations to be displayed at the graphical user interface.

Career Highlights

Lu Ou is currently employed at Act, Inc., where he continues to develop innovative solutions in the realm of digital education. His work is characterized by a commitment to improving the learning experience through technology.

Collaborations

Lu Ou collaborates with talented individuals such as Shi Pu and Michael Yudelson, contributing to a dynamic and innovative work environment.

Conclusion

Lu Ou's contributions to digital learning systems exemplify the potential of machine learning in education. His patent reflects a forward-thinking approach that enhances learner engagement and effectiveness.

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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