Weijie Zhao

Title: Weijie Zhao: Innovator in Data Retrieval Technologies

Introduction

Weijie Zhao is a prominent inventor based in Sunnyvale, CA, known for his contributions to data retrieval technologies. With a total of 3 patents, he has made significant strides in enhancing the efficiency of data searching and retrieval systems.

Latest Patents

One of his latest patents is titled "Norm adjusted proximity graph for fast inner product retrieval." This invention addresses the need for efficient inner product search, which is crucial for various data ranking services, including recommendations and information retrieval. The Norm Adjusted Proximity Graph (NAPG) approach improves upon previous methods by selecting more meaningful data points for constructing a graph-based index, thereby enhancing search efficiency and effectiveness.

Another notable patent is "Fast neural ranking on bipartite graph indices." This invention introduces systems and methods for constructing BipartitE Graph INdices (BEGIN) that facilitate rapid neural ranking. By utilizing a neural network ranking measure to connect sampled queries and searching objects, this approach extends traditional search-on-graph methods, demonstrating both effectiveness and efficiency in experimental results.

Career Highlights

Weijie Zhao is currently employed at Baidu USA LLC, where he continues to innovate in the field of data retrieval. His work has significantly impacted the performance of data searching systems, making them more efficient and effective.

Collaborations

He has collaborated with notable colleagues, including Shulong Tan and Ping Li, contributing to advancements in their shared field of expertise.

Conclusion

Weijie Zhao's innovative work in data retrieval technologies showcases his commitment to improving search efficiency and effectiveness. His patents reflect a deep understanding of the challenges in the field and offer solutions that push the boundaries of current technologies.