Shenzhen, China

Yike Liu

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 14.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Yike Liu: Innovator in Headword Extraction and Item Naming Technologies

Introduction

Yike Liu is a prominent inventor based in Shenzhen, China. He has made significant contributions to the fields of natural language processing and image recognition. With a total of 2 patents, Liu's work focuses on improving the accuracy of headword extraction and item naming methods.

Latest Patents

Liu's latest patents include a "Headword extraction method and apparatus, device, and storage medium." This invention discloses a method performed by a computer device that enhances the accuracy of headwords extracted from target sentences. The method involves obtaining sentence features and word features, extracting semantics, and determining the headword based on matching degrees.

Another notable patent is the "Method and apparatus for determining item name, computer device, and storage medium." This method includes obtaining an image of a target item, selecting reference images from a database, performing word segmentation, and extracting a key word to determine the item name. These innovations showcase Liu's expertise in leveraging technology to improve language processing and item recognition.

Career Highlights

Yike Liu has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has allowed him to collaborate with leading professionals in the tech industry, further enhancing his skills and knowledge in innovation.

Collaborations

Liu has collaborated with talented individuals such as Yugeng Lin and Dianping Xu. These partnerships have contributed to the development of his innovative technologies and have fostered a collaborative environment for creativity and advancement.

Conclusion

Yike Liu is a remarkable inventor whose work in headword extraction and item naming technologies has the potential to significantly impact the fields of natural language processing and image recognition. His contributions continue to pave the way for future innovations in these areas.

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