This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Citrix Systems, Inc.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Zhen Fan: Innovator in Intelligent Information Retrieval
Introduction
Zhen Fan is a notable inventor based in Nanjing, China. He has made significant contributions to the field of information retrieval through his innovative patent. His work focuses on enhancing the accuracy and relevance of text-based searches, which is crucial in today's data-driven world.
Latest Patents
Zhen Fan holds a patent titled "Intelligent short text information retrieve based on deep learning." This patent addresses the limitations of traditional text-based searching methods. The system he developed can determine if the searched text includes keywords or search terms, allowing for a more nuanced retrieval process. By employing semantic analysis, his solution can return results with high accuracy compared to full-text or keyword-based retrieval algorithms. This innovative approach sorts results by semantic relevance, ensuring that users receive meaningful outcomes even when their search text does not contain the exact keywords or phrases they entered.
Career Highlights
Zhen Fan is currently employed at Citrix Systems, Inc., where he continues to develop cutting-edge technologies. His work at Citrix has allowed him to apply his expertise in deep learning and information retrieval, contributing to the company's mission of providing innovative solutions.
Collaborations
Zhen has collaborated with talented individuals such as Jinren Zhang and Ke Xu. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Zhen Fan's contributions to intelligent information retrieval demonstrate his commitment to innovation and excellence. His patent showcases the potential of deep learning in enhancing search accuracy and relevance. As technology continues to evolve, Zhen's work will undoubtedly play a significant role in shaping the future of information retrieval.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
