Mountain View, CA, United States of America

Yu Qing Zhou

USPTO Granted Patents = 4 

Average Co-Inventor Count = 11.5

ph-index = 1


Company Filing History:


Years Active: 2021-2025

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4 patents (USPTO):

Title: Innovations of Yu Qing Zhou

Introduction

Yu Qing Zhou is a notable inventor based in Mountain View, CA, who has made significant contributions to the field of machine learning and image classification. With a total of three patents to his name, he has developed innovative systems that enhance the efficiency and accuracy of training data management.

Latest Patents

One of Yu Qing Zhou's latest patents is a model management system designed to improve training data through machine learning deployment. This system adaptively refines a training dataset for more effective visual inspection. It trains a machine learning model using an initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system evaluates the performance of predictions for noisy data points and identifies causes of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. It then refines the training dataset based on the identified cause of failure and retrains the machine learning model before sending it back to the client for redeployment.

Another significant patent is a user-generated visual guide for the classification of images. This process and system create a visual guide for developing training data for image classification, where the training data includes images tagged with labels. A processor prompts a user to define a framework for classification. Qualified human classifiers are then prompted to locate and tag images within this framework. The processor checks for consistency in the tagged images and adds them to the training data if they meet the criteria. The visual guide includes tagged images arranged according to their locations within the framework, assisting human classifiers in tagging additional images.

Career Highlights

Yu Qing Zhou currently works at Landing AI, a company focused on advancing artificial intelligence technologies. His work has been instrumental in developing systems that leverage machine learning for practical applications in various industries.

Collaborations

Yu has collaborated with notable figures in the field, including Andrew Yan-Tak Ng and Pingyang He, contributing to the advancement of machine learning technologies.

Conclusion

Yu Qing Zhou's innovative patents and contributions to machine learning and image classification demonstrate his commitment to enhancing technology through effective data management. His work continues to influence the field and pave the way for future advancements.

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