This inventor holds 1 USPTO granted patent. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Years Active: 2023
Title: Innovations of Bin Xie in Table Extraction Technology.
Introduction
Bin Xie is an accomplished inventor based in Nanning, China. He has made significant contributions to the field of data extraction from journal literature. His innovative methods focus on automating the extraction process, which is crucial for researchers and academics.
Latest Patents
One of Bin Xie's notable patents is titled "Method for table extraction from journal literature based on text state characteristics." This patent describes a comprehensive method for extracting tables from journal literature, particularly focusing on the characteristics of tables found in PDF documents. The method involves constructing a table model that includes a table caption and content, building a text line set, detecting tables, positioning data, and reconstructing tables. The process is designed to be fully automatic, eliminating the need for manual intervention or table selection. This innovation is particularly effective for three-line tables, which are commonly found in academic publications.
Career Highlights
Throughout his career, Bin Xie has demonstrated a strong commitment to advancing technology in data extraction. His work has been recognized for its practical applications in academic research and data management. With a focus on automation, he has paved the way for more efficient data handling in various fields.
Collaborations
Bin Xie has collaborated with notable colleagues, including Rui Tang and Jianxin Deng. Their combined expertise has contributed to the development of innovative solutions in the realm of data extraction.
Conclusion
Bin Xie's contributions to the field of table extraction technology highlight his innovative spirit and dedication to improving research methodologies. His patented methods are set to enhance the efficiency of data extraction processes in academic literature.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile