This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Tiandy Technologies Co., Ltd.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Rujie Wang: Innovator in Neural Network-Based Feature Compression
Introduction
Rujie Wang is a prominent inventor based in Tianjin, China. He has made significant contributions to the field of computer science, particularly in the area of feature compression algorithms utilizing neural networks. His innovative approach has the potential to enhance various applications in facial recognition technology.
Latest Patents
Rujie Wang holds a patent for a "Computer program product with feature compression algorithm based on neural network." This patent outlines a comprehensive method that includes several steps: image data preparation, feature data acquisition, neural network model setup, model iteration training, parameter model storage, and feature compression. The algorithm not only compresses original feature data but also retains its semantic features, allowing for higher-dimensional feature abstraction. The compressed data can be directly utilized in various applications.
Career Highlights
Rujie Wang is currently employed at Tiandy Technologies Co., Ltd., where he continues to develop innovative solutions in technology. His work focuses on enhancing the efficiency and effectiveness of facial recognition systems through advanced algorithms.
Collaborations
Rujie Wang collaborates with talented colleagues, including Lin Dai and Qingxin Li, who contribute to the innovative projects at Tiandy Technologies Co., Ltd. Their teamwork fosters a creative environment that drives technological advancements.
Conclusion
Rujie Wang's contributions to the field of neural networks and feature compression algorithms demonstrate his commitment to innovation. His work not only advances technology but also sets a foundation for future developments in facial recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile