Hangzhou, China

Dengbo Fu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Dengbo Fu

Introduction

Dengbo Fu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of data processing and filtering. His innovative approach has led to the development of a unique patent that enhances the efficiency of data object filtering.

Latest Patents

Dengbo Fu holds a patent for a method titled "Filtering Data Objects." This method involves establishing a layered attribute description network based on the description values of filtering requirements. It includes extracting relevant description values, creating a mapping relationship, and generating a path dependency graph. The process allows for a traversal comparison between the description values of the data object to be filtered and those in the path dependency graph. If all description values of a specific path are present in the data object, that path is recorded as a matching path. This innovative technique combines public description values and sub-paths, significantly reducing the time required for computation during the filtering process. He has 1 patent to his name.

Career Highlights

Dengbo Fu is currently employed at Alibaba Group Holding Limited, a leading technology company known for its e-commerce and cloud computing services. His work at Alibaba has allowed him to apply his inventive skills in a dynamic and innovative environment.

Collaborations

Dengbo has collaborated with notable colleagues, including Yicong Huang and Junliang Li. Their teamwork has contributed to the advancement of technology within their field.

Conclusion

Dengbo Fu's innovative contributions to data filtering demonstrate his expertise and commitment to enhancing technology. His patent reflects a significant advancement in the field, showcasing his ability to solve complex problems efficiently.

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