This inventor holds 1 USPTO granted patent. Top assignee: Nanjing University of Posts and Telecommunications. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Jianxin Chen in Cross-Modal Communication Systems
Introduction
Jianxin Chen is a notable inventor based in Nanjing, China. He has made significant contributions to the field of cross-modal communication systems. His innovative approach addresses challenges in image reconstruction, enhancing the quality of communication across different modalities.
Latest Patents
Jianxin Chen holds a patent for a method of image reconstruction for a cross-modal communication system and the associated device. This method reconstructs damaged, lost, or delayed image signals during transmission by utilizing complete haptic signals received at the receiving end. The invention constructs a cross-modal interaction network with reference to an attention mechanism, overcoming limitations of conventional generation models that rely on paired samples. By leveraging the semantic correlation between different-modality data, this invention significantly improves the quality and class accuracy of generated image signals.
Career Highlights
Jianxin Chen is affiliated with the Nanjing University of Posts and Telecommunications. His work focuses on advancing communication technologies, particularly in the realm of cross-modal interactions. His innovative methods have the potential to transform how data is transmitted and reconstructed in various applications.
Collaborations
Jianxin Chen collaborates with notable colleagues, including Liang Zhou and Xin Wei. Their combined expertise contributes to the development of cutting-edge technologies in communication systems.
Conclusion
Jianxin Chen's contributions to cross-modal communication systems exemplify the impact of innovative thinking in technology. His patent addresses critical challenges in image reconstruction, paving the way for advancements in communication methodologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile