Liang Meng

Title: Innovations by Inventor Liang Meng

Introduction

Liang Meng is an accomplished inventor based in San Rafael, CA. He has made significant contributions to the field of technology, particularly in the area of feature discovery and optimization. With a total of 2 patents, his work has garnered attention for its innovative approach and practical applications.

Latest Patents

Liang Meng's latest patents focus on "Interpretable feature discovery with grammar-based Bayesian optimization." This invention encompasses a method, a system, and a computer program product designed to generate an interpretable set of features. The process involves defining one or more search parameters and constraints for searching data received from various data sources. The data is then searched using these defined parameters, and one or more first features are extracted, which are associated with predictive score values. The searching process is iterative, responding to feedback data related to the extracted features, ultimately generating one or more second features from the repeated searches.

Career Highlights

Liang Meng is currently employed at Fair Isaac Corporation, a company known for its innovative solutions in analytics and decision management. His work at Fair Isaac Corporation has allowed him to apply his expertise in feature discovery and optimization, contributing to the company's advancements in technology.

Collaborations

Liang has collaborated with notable colleagues, including Christopher Allan Ralph and Gerald Fahner. These collaborations have further enriched his work and have led to the development of impactful innovations.

Conclusion

Liang Meng's contributions to the field of technology through his patents and work at Fair Isaac Corporation highlight his role as a significant inventor. His innovative methods in feature discovery continue to influence advancements in data analysis and optimization.