Mountain View, CA, United States of America

Shuai Li

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations of Shuai Li in Multi-Label Classification

Introduction

Shuai Li is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of electronic document classification. His innovative work focuses on developing frameworks that enhance the efficiency of multi-label classification systems.

Latest Patents

Shuai Li holds a patent for a "Framework for large-scale multi-label classification." This patent describes a system designed to classify electronic documents by first applying weak classifiers to identify seed labels. The system then determines additional labels based on these seed labels and label correlation data derived from member profiles maintained by an online social network. The multi-label classification system constructs an s-t graph with nodes corresponding to both seed and additional labels. A clustering algorithm is then applied to this graph to create a labels graph, which includes nodes that represent topics discussed or referenced in the electronic document.

Career Highlights

Shuai Li is currently employed at LinkedIn Corporation, where he continues to innovate in the field of data classification. His work has been instrumental in improving the accuracy and efficiency of multi-label classification systems.

Collaborations

Shuai has collaborated with notable colleagues, including Liyun Li and Hyun Chul Lee, who share his passion for advancing technology in the realm of data processing and classification.

Conclusion

Shuai Li's contributions to multi-label classification represent a significant advancement in the field of electronic document processing. His innovative framework not only enhances classification accuracy but also demonstrates the potential for future developments in this area.

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