Jay Jie-Bing Yu

Jay Jie-Bing Yu is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of data structures and pattern mining. With a total of 4 patents, his work has advanced the understanding and application of complex data relationships.

Latest Patents

One of his latest patents is titled "Storage structure for pattern mining." This computer-implemented method involves obtaining an original graph data structure that includes multiple stored nodes connected by various edges. The method generates an auxiliary graph data structure from the original, which includes operation stored nodes. It further executes a pattern mining tool on this auxiliary structure to identify and present multiple instances of identified patterns.

Another notable patent is "Method and system for explaining dependencies on a document." This method reviews data dependencies within a document by requesting explanations of dependent data containers. It provides detailed information about the relationships between dependent and precedent data containers, enhancing the understanding of data dependencies.

Career Highlights

Jay Jie-Bing Yu is currently employed at Intuit, Inc., where he continues to innovate and develop new technologies. His work at Intuit has allowed him to apply his expertise in data structures to real-world applications, contributing to the company's success.

Collaborations

He has collaborated with notable coworkers, including Michael A Artamonov and Michael Mao Wang. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Jay Jie-Bing Yu is a distinguished inventor whose work in data structures and dependencies has made a significant impact in his field. His patents reflect a deep understanding of complex data relationships, and his contributions continue to influence the industry.

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