Beijing, China

Mingrui Zhang

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Landing Ai. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mingrui Zhang. Retrieved from https://idiyas.com/inventor/mingrui-zhang-hs8dygdn

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 24.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Mingrui Zhang

Introduction

Mingrui Zhang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of machine learning and model management systems. His innovative approach focuses on improving training data for more effective visual inspection.

Latest Patents

Mingrui Zhang holds a patent for a "Model management system for improving training data through machine learning deployment." This system adaptively refines a training dataset to enhance the performance of machine learning models. It trains a model using an initial dataset and deploys it to a client. The deployment generates outputs that are analyzed to identify inadequacies in predictions for noisy data points. The system then determines the cause of failure based on the mapping of these noisy data points to a distribution generated for the training dataset. By refining the training dataset based on identified causes of failure, the system retrains the model and sends it back for redeployment.

Career Highlights

Mingrui Zhang has established himself as a key figure in the field of machine learning. His work at Landing AI showcases his commitment to advancing technology and improving data management systems. His innovative solutions have the potential to revolutionize how visual inspections are conducted in various industries.

Collaborations

Mingrui collaborates with notable professionals in the field, including Daniel Bibireata and Andrew Yan-Tak Ng. These collaborations enhance the development and implementation of cutting-edge technologies in machine learning.

Conclusion

Mingrui Zhang's contributions to machine learning and model management systems highlight his innovative spirit and dedication to improving technology. His patent reflects a significant advancement in the field, showcasing his ability to address complex challenges in data management.

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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