Palo Alto, CA, United States of America

Linou Zhu


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Linou Zhu: Innovator in Semantic Feature Engineering

Introduction

Linou Zhu is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of computer-based systems, particularly in the area of feature engineering based on semantic types. With a total of 2 patents, Zhu's work is at the forefront of integrating deep learning algorithms with domain-specific knowledge.

Latest Patents

Zhu's latest patents focus on engineering features based on semantic types. The first patent describes a computer-based system that implements deep learning algorithms to derive a domain-specific feature engineering strategy from semantic type predictions and data profiling. This system utilizes embedded domain knowledge, such as that from the financial industry, to generate curated features from raw data, including transactional and relational datasets. The second patent mirrors this innovative approach, emphasizing the importance of semantic types in feature engineering.

Career Highlights

Linou Zhu is currently employed at American Express Travel Related Services Company, Inc. His role involves leveraging his expertise in feature engineering to enhance the capabilities of computer-based systems. Zhu's work is instrumental in developing solutions that improve data analysis and decision-making processes within the organization.

Collaborations

Zhu collaborates with talented individuals such as Man Chon U and Beau Britain. These partnerships foster a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Linou Zhu's contributions to the field of semantic feature engineering are noteworthy. His innovative patents and collaborative efforts position him as a key player in advancing technology within the financial sector. His work continues to influence the way data is processed and utilized in various applications.

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