Sunnyvale, CA, United States of America

Zihe Liu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Zihe Liu: Innovator in Document Processing Technology

Introduction

Zihe Liu is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of document processing technology. With a focus on neural networks, Liu has developed innovative systems that enhance the efficiency and accuracy of identification document processing. His work has garnered attention for its practical applications in various industries.

Latest Patents

Liu holds 2 patents, with his latest invention being a neural network-based identification document processing system. This system processes images of documents, transforming them into a canonical form. For instance, if an input image features a document tilted at an angle, the system adjusts the orientation to align the document's sides with the image's edges. Additionally, the system stores user accounts containing user information and images. It generates a graph of nodes representing user accounts, with edges determined by similarity scores. The system also identifies connected components of user accounts, indicating those with a high likelihood of being duplicates.

Career Highlights

Zihe Liu is currently employed at Uber Technologies, Inc., where he continues to innovate in the realm of document processing. His expertise in neural networks has positioned him as a valuable asset to the company, contributing to advancements in technology that streamline operations and improve user experiences.

Collaborations

Liu has collaborated with notable colleagues, including Tao Luo and Chuang Wu. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in document processing.

Conclusion

Zihe Liu's work in neural network-based document processing systems exemplifies the impact of innovation in technology. His contributions not only enhance the efficiency of identification document processing but also pave the way for future advancements in the field.

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