Location History:
- Guangdong, CN (2020)
- Shenzhen, CN (2021 - 2024)
Company Filing History:
Years Active: 2020-2025
Title: Lijian Mei: Innovator in Headword Extraction Technology
Introduction
Lijian Mei is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of computer technology, particularly in methods for extracting headwords and item names from text and images. With a total of eight patents to his name, Mei's work showcases his innovative approach to solving complex problems in natural language processing.
Latest Patents
Lijian Mei'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 headword extraction from target sentences. The process 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 focuses on obtaining images of target items, selecting reference images, and extracting key words to determine item names effectively.
Career Highlights
Throughout his career, Lijian Mei 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 develop and refine his innovative ideas, contributing to advancements in technology.
Collaborations
Lijian Mei has collaborated with talented individuals such as Shenghui Huang and Jingmin Luo. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Lijian Mei's contributions to the field of technology, particularly in headword extraction and item naming, highlight his innovative spirit and dedication to advancing computer science. His patents reflect a commitment to improving accuracy and efficiency in natural language processing.