Iowa City, IA, United States of America

Shi Pu

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shi Pu. Retrieved from https://idiyas.com/inventor/shi-pu-levdepzt

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 = 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 Shi Pu in Digital Learning Systems

Introduction

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

Latest Patents

Shi Pu holds a patent for "Deep knowledge tracing with transformers." This invention involves digital learning or tutoring systems that utilize a trained machine learning knowledge tracing engine. The system embeds an array for learner interactions into 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

Shi Pu is currently associated with Act, Inc., where he continues to develop innovative solutions in the realm of digital education. His work is pivotal in advancing how learners engage with educational content through technology.

Collaborations

Shi Pu collaborates with talented individuals such as Michael Yudelson and Lu Ou, who contribute to the development of cutting-edge educational technologies.

Conclusion

Shi Pu's contributions to digital learning systems exemplify the potential of machine learning in education. His innovative patent reflects a commitment to enhancing learner experiences through technology.

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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