Beijing, China

Nan Liang

This inventor holds 1 USPTO granted patent. Top assignee: Telefonaktiebolaget Lm Ericsson (Publ). Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Nan Liang

Introduction

Nan Liang is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of text classification through his innovative methods and devices. His work has garnered attention for its potential applications in various industries.

Latest Patents

Nan Liang holds a patent for a text classification method and device. This patent, which is a testament to his ingenuity, outlines a process that includes receiving text data comprising one or more text semantic units. The method involves replacing these semantic units with corresponding text keywords based on established correspondences. Furthermore, it extracts semantic features using a semantic model and classifies the text keywords based on these features, resulting in a comprehensive classification of the text data.

Career Highlights

Nan Liang is currently employed at Telefonaktiebolaget Lm Ericsson (publ), a leading telecommunications company. His role at Ericsson allows him to apply his expertise in text classification and contribute to advancements in technology. His innovative approach has positioned him as a valuable asset within the organization.

Collaborations

Nan Liang has collaborated with notable colleagues, including Feng Liu and Mengmeng Liu. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and enhances the development of innovative solutions.

Conclusion

Nan Liang's contributions to text classification exemplify the impact of innovation in technology. His patent and work at Ericsson highlight his role as a forward-thinking inventor in the field. His ongoing efforts continue to shape the future of text processing and classification.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…