Los Altos, CA, United States of America

Wei Kang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):

Title: The Innovative Mind of Wei Kang

Introduction

Wei Kang is a notable inventor based in Los Altos, California. He has made significant contributions to the field of technology, particularly in the area of semantic matching and retrieval of standardized entities. His work has implications for enhancing user interfaces and improving the efficiency of online systems.

Latest Patents

Wei Kang holds a patent for a system that focuses on semantic matching and retrieval of standardized entities. During operation, the system obtains a first embedding produced by an embedding model from an input string representing an entity and a hierarchy of clusters of embeddings generated by the embedding model from a set of standardized entities. The system searches the hierarchy of clusters for a subset of the embeddings that are within a threshold proximity to the first embedding in a vector space. It then calculates embedding match scores between the input string and a first subset of the standardized entities represented by the subset of the embeddings based on distances between the subset of the embeddings and the first embedding in the vector space. Finally, the system modifies, based on the embedding match scores, content outputted in response to the input string within a user interface of an online system.

Career Highlights

Wei Kang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft has allowed him to collaborate with other talented individuals in the field.

Collaborations

Some of Wei Kang's coworkers include Peide Zhong and Feishe Chen. Their collective expertise contributes to the advancement of technology and innovation within their projects.

Conclusion

Wei Kang is a prominent inventor whose work in semantic matching and retrieval has the potential to transform user interactions with online systems. His contributions at Microsoft Technology Licensing, LLC highlight his commitment to innovation and technology advancement.

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