This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Jiayang Wang: Innovator in Receipt Recognition Technology
Introduction
Jiayang Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of deep learning and pattern recognition. His innovative work focuses on methods for recognizing receipts, which has practical applications in various electronic devices.
Latest Patents
Jiayang Wang holds a patent for a "Method for recognizing receipt, electronic device and storage medium." This patent outlines a sophisticated approach to receipt recognition, which includes acquiring a target receipt, encoding two-dimensional position information of multiple text blocks, and performing graph convolution on the encoding results. The method utilizes a first conditional random field model for text block-level recognition and co-trains it with a second model for token-level predictions. This innovative approach enhances the accuracy and efficiency of receipt recognition.
Career Highlights
Jiayang Wang is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at Baidu has allowed him to explore advanced technologies and contribute to the development of cutting-edge solutions in the tech industry. His expertise in deep learning has positioned him as a valuable asset in his field.
Collaborations
Jiayang Wang collaborates with talented individuals such as Huihui He and Yubo Xiang. These collaborations foster an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
Jiayang Wang's contributions to receipt recognition technology exemplify the impact of innovative thinking in the tech industry. His patent and work at Baidu highlight the importance of advancements in deep learning and pattern recognition.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
