Silu Huang

Title: Silu Huang: Innovator in Automated Machine Learning and Database Systems

Introduction

Silu Huang is a notable inventor based in Urbana, Illinois, recognized for his contributions to the fields of automated machine learning and database systems. With two patents to his name, Huang has made significant strides in enhancing the efficiency and accuracy of machine learning configurations and data processing systems.

Latest Patents

Huang's latest patents include "Efficient configuration selection for automated machine learning" and "Aggregate-query database system and processing." In the first patent, he presents a method for selecting the best configuration among multiple candidate machine-learning configurations by progressively sampling training and test datasets. This approach allows for iterative training and testing while pruning candidate configurations based on estimated confidence intervals for their performance. The second patent describes a processing unit capable of determining a subset of data records based on measure values. It also includes an index mapping predicates to associated data records, enabling efficient query processing against subsets of data.

Career Highlights

Silu Huang is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and database systems. His work focuses on developing innovative solutions that enhance the performance and reliability of automated systems.

Collaborations

Huang collaborates with talented individuals such as Bolin Ding and Chi Wang, contributing to a dynamic environment that fosters innovation and creativity.

Conclusion

Silu Huang's work in automated machine learning and database systems exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to advancing the efficiency and effectiveness of machine learning applications.