This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Wuyi University. 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: Bicheng Wu: Innovator in Facial Beauty Prediction Technology
Introduction
Bicheng Wu is a notable inventor based in Jiangmen, China. He has made significant contributions to the field of facial beauty prediction through his innovative methods and systems. His work is particularly relevant in today's technology-driven world, where artificial intelligence and machine learning are increasingly applied to personal aesthetics.
Latest Patents
Bicheng Wu holds a patent for a "Multi-dimensional task facial beauty prediction method and system, and storage medium." This invention outlines a comprehensive approach to predicting facial beauty by utilizing a shared feature extraction network. The method involves optimizing this network during the training phase with first facial images and training multiple sub-task networks for facial beauty classification tasks. During the testing phase, shared features from second facial images are extracted and input into the trained networks to obtain beauty prediction results.
Career Highlights
Bicheng Wu is affiliated with Wuyi University, where he contributes to research and development in the field of facial recognition and beauty prediction technologies. His academic background and innovative mindset have positioned him as a key figure in this emerging area of study.
Collaborations
Bicheng Wu collaborates with colleagues such as Junying Gan and Yikui Zhai, who share his passion for advancing technology in facial beauty prediction. Their combined expertise fosters a collaborative environment that enhances research outcomes.
Conclusion
Bicheng Wu's contributions to facial beauty prediction technology exemplify the intersection of innovation and practical application. His patent and ongoing work at Wuyi University highlight the potential for advancements in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile