Cupertino, CA, United States of America

Shengke Yu


Average Co-Inventor Count = 2.0

ph-index = 3

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2015-2017

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3 patents (USPTO):Explore Patents

Title: Innovations of Shengke Yu

Introduction

Shengke Yu is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of information retrieval and predictive coding. With a total of 3 patents, his work has had a notable impact on technology and data management.

Latest Patents

One of Shengke Yu's latest patents is titled "Method and system for information retrieval effectiveness estimation in e-discovery." This invention involves a server computing system that determines various statistics for test documents and calculates the effectiveness of an information retrieval system based on the number of false negatives identified in a corpus of documents. Another significant patent is "System and method for training data generation in predictive coding." This patent describes a predictive coding system that updates training documents for an untrained classification model using additional documents selected based on a decision hyperplane from a previously trained model.

Career Highlights

Throughout his career, Shengke Yu has worked with prominent companies such as Veritas Technologies LLC and Symantec Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of data management and information retrieval.

Collaborations

Shengke Yu has collaborated with various professionals in his field, including his coworker Venkat Rangan. Their joint efforts have contributed to advancements in technology and the development of effective solutions in information retrieval.

Conclusion

Shengke Yu's contributions to the field of information retrieval and predictive coding demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving data management systems and enhancing the effectiveness of information retrieval processes.

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