This inventor holds 2 USPTO granted patents. Top assignees: Qilu University of Technology(shandong Academy of Sciences), Shandong Artificial Intelligence Institute, Shandong Computer Science Center (National Supercomputing Center in Jinan). Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Zhenyu Liu - Innovator in Dynamic Facial Expression Recognition
Introduction
Zhenyu Liu is a prominent inventor based in Jinan, China. He has made significant contributions to the field of facial expression recognition through his innovative methods and technologies. His work focuses on improving the accuracy and reliability of expression recognition systems.
Latest Patents
Zhenyu Liu holds a patent for a dynamic facial expression recognition (FER) method based on Dempster-Shafer (DS) theory. This method enhances the feature extraction effect of expression videos through multi-feature fusion. It employs deep learning techniques to address the challenges posed by imbalanced dynamic expression features. By utilizing the DS theory, multi-branch convolution, and an attention mechanism, Liu's method effectively reduces the impact of sample imbalance on expression recognition. This approach fully leverages spatio-temporal features to extract potential semantic information from video expressions, thereby improving classification reliability and accuracy.
Career Highlights
Throughout his career, Zhenyu Liu has worked at notable institutions, including Qilu University of Technology and the Shandong Computer Science Center, which is part of the National Supercomputing Center in Jinan. His experience in these organizations has allowed him to develop and refine his innovative techniques in facial expression recognition.
Collaborations
Zhenyu Liu has collaborated with esteemed colleagues, including Minglei Shu and Zhaoyang Liu. These partnerships have contributed to the advancement of research in the field of dynamic facial expression recognition.
Conclusion
Zhenyu Liu's contributions to dynamic facial expression recognition highlight his innovative spirit and dedication to advancing technology in this area. His patented methods represent a significant step forward in improving the accuracy and reliability of expression recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile