Huiji Gao

Title: Innovations by Huiji Gao

Introduction

Huiji Gao is a prominent inventor based in San Jose, CA, known for his significant contributions to machine learning and data processing technologies. With a total of 12 patents to his name, Gao has made remarkable strides in enhancing the efficiency and effectiveness of various computational models.

Latest Patents

One of Huiji Gao's latest patents is titled "Factorization machine with L-2 norm reduction for machine learned models." This invention utilizes a specific type of deep learning model within the global model of the GDMix model, specifically a Factorization Machine. The Factorization Machine effectively combines a Support Vector Machine (SVM) and Matrix Factorizations, allowing it to model data with substantial sparsity while maintaining linear time complexity. A notable modification introduced in this patent is the L-norm reduction, which divides calculations into precomputable and non-precomputable portions. This innovation significantly reduces runtime operations, thereby enhancing processing speed compared to previous machine learning models.

Another significant patent by Gao is the "Neural tagger with deep multi-level model." This technology is designed to read text sequences and extract model input data, which includes segment and non-segment data for each word. By employing multiple machine learning models, this invention generates a multi-level feature set for each word, ultimately outputting a tagged version of the text sequence. This tagged version can then be utilized for executing searches, showcasing the practical applications of Gao's work in natural language processing.

Career Highlights

Huiji Gao is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and develop cutting-edge technologies. His work has not only advanced the field of machine learning but has also contributed to the broader tech landscape.

Collaborations

Gao has collaborated with notable colleagues, including Bo Long and Jianling Zhong, further enhancing the impact of his inventions through teamwork and shared expertise.

Conclusion

Huiji Gao's contributions to the field of machine learning and data processing are noteworthy, with his innovative patents paving the way for advancements in technology. His work exemplifies the importance of innovation in driving progress within the tech industry.