Shenzhen, China

Liansheng Wang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Liansheng Wang: Innovator in Data Classification and Medical Imaging

Introduction

Liansheng Wang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the fields of data classification and medical imaging. With a total of 2 patents, his work showcases innovative methods and apparatuses that enhance data processing and medical analysis.

Latest Patents

Wang's latest patents include a "Data classification and recognition method and apparatus, device, and medium." This invention involves obtaining a first data set and a second data set, where the second data set includes labeled samples. The method employs unsupervised training on the first data and supervised training on the second data to develop a classification model. Additionally, he has patented a "Method and apparatus for performing layer segmentation on tissue structure in medical image, device, and medium." This invention focuses on feature extraction from two-dimensional medical images within a three-dimensional context, allowing for precise segmentation of tissue structures.

Career Highlights

Liansheng Wang is currently employed at Tencent Technology (Shenzhen) Company Limited. His role involves leveraging his expertise in data classification and medical imaging to drive innovation within the company. His contributions have been instrumental in advancing the technological capabilities of Tencent.

Collaborations

Wang collaborates with notable colleagues, including Dong Wei and Kai Ma. Their teamwork fosters a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Liansheng Wang's innovative work in data classification and medical imaging positions him as a key figure in the technology sector. His patents reflect a commitment to enhancing data processing and medical analysis, contributing to advancements in these critical fields.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…