San Jose, CA, United States of America

Chaochun Liu

USPTO Granted Patents = 4 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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4 patents (USPTO):Explore Patents

Title: Innovations of Chaochun Liu

Introduction

Chaochun Liu is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in text classification and medical diagnosis systems. With a total of 4 patents, Liu's work showcases his innovative approach to solving complex problems.

Latest Patents

One of Liu's latest patents is titled "Systems and methods for deep skip-gram network based text classification." This invention describes systems and methods that incorporate skip-gram convolution to extract non-consecutive local n-gram patterns. These patterns provide comprehensive information for varying text expressions. The invention employs recurrent neural networks to extract long-range features, demonstrating effectiveness through comprehensive experiments on large-scale datasets.

Another notable patent is "Question generation systems and methods for automating diagnosis." This system generates questions to obtain relevant medical information based on observed symptoms from patients. By querying a knowledge graph, the system identifies possible diseases associated with symptoms and generates candidate symptoms. The process includes determining discriminative scores for these candidate symptoms and generating questions to aid in patient information collection.

Career Highlights

Chaochun Liu is currently employed at Baidu USA LLC, where he continues to innovate and develop new technologies. His work has had a significant impact on both the fields of artificial intelligence and healthcare.

Collaborations

Liu has collaborated with notable colleagues, including Hongliang Fei and Wei Fan, contributing to the advancement of their shared projects and research initiatives.

Conclusion

Chaochun Liu's innovative contributions to technology and healthcare through his patents highlight his expertise and dedication to improving systems for text classification and medical diagnosis. His work continues to influence the industry and pave the way for future advancements.

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