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 by Rui Tang: A Method for Table Extraction from Journal Literature
Introduction
Rui Tang is an accomplished inventor based in Nanning, China. He has made significant contributions to the field of data extraction, particularly in the context of journal literature. His innovative approach focuses on automating the extraction of tables from PDF documents, which is a common challenge in academic publishing.
Latest Patents
Rui Tang holds a patent for a method titled "Method for table extraction from journal literature based on text state characteristics." This method involves constructing a table model that includes a table caption and table content. The process encompasses building a text line set, detecting tables, positioning table data, and reconstructing tables. Notably, the method is designed to handle three-line tables commonly found in PDF journal literature, ensuring accurate extraction without manual intervention. This automation enhances efficiency and accuracy in data handling.
Career Highlights
Throughout his career, Rui Tang has focused on developing innovative solutions that address real-world problems in data extraction. His work has been recognized for its practicality and effectiveness, particularly in the academic and research sectors. With a patent portfolio that includes 1 patent, he continues to push the boundaries of what is possible in automated data processing.
Collaborations
Rui Tang has collaborated with notable colleagues, including Jianxin Deng and Zhixing Ye. Their combined expertise has contributed to the advancement of methods for data extraction and processing, further enhancing the impact of their work in the field.
Conclusion
Rui Tang's innovative method for table extraction represents a significant advancement in the automation of data processing in journal literature. His contributions are paving the way for more efficient research practices and demonstrate the potential of technology in enhancing academic workflows.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile