Sunnyvale, CA, United States of America

Yujing Zhang

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yujing Zhang. Retrieved from https://idiyas.com/inventor/yujing-zhang-v5kt2co1

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 = 25.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yujing Zhang - Innovator in Neural Network Training

Introduction

Yujing Zhang is a prominent inventor based in Sunnyvale, CA. She has made significant contributions to the field of machine learning, particularly in the training of large neural networks. Her innovative work has garnered attention in the tech industry, especially at her workplace, Google Inc.

Latest Patents

Yujing Zhang holds a patent for her invention titled "Training of large neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform various machine learning tasks. Notably, the neural network can be configured as a generative neural network, such as an autoregressive generative neural network. She has 1 patent to her name.

Career Highlights

Throughout her career, Yujing has demonstrated exceptional skills in the realm of artificial intelligence and machine learning. Her work at Google Inc. has positioned her as a key player in advancing neural network technologies.

Collaborations

Yujing has collaborated with notable colleagues, including Slav Petrov and Yonghui Wu, further enhancing her contributions to the field.

Conclusion

Yujing Zhang's innovative work in neural network training exemplifies her commitment to advancing machine learning technologies. Her contributions are shaping the future of artificial intelligence.

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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