Tingrong Zhi

Title: Innovations of Tingrong Zhi in Artificial Intelligence

Introduction

Tingrong Zhi is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of artificial intelligence, particularly in camera pose estimation and news recommendation systems. With a total of three patents to his name, Zhi's work showcases his innovative approach to solving complex problems in technology.

Latest Patents

Tingrong Zhi's latest patents include a "Camera pose estimation method and system, electronic equipment and readable medium." This invention focuses on improving the accuracy of camera pose estimation by utilizing an optimization network to refine initial matching sets of images taken from different angles. By removing mismatches, the method enhances the reliability of feature matching results.

Another significant patent is the "Diversified recommendation method for news based on graph neural network and its device." This invention employs a graph neural network to provide diversified news recommendations. It involves word segmentation and vectorization of news texts and user groups, ultimately optimizing the recommendation model to deliver tailored results based on user interests.

Career Highlights

Tingrong Zhi has worked at reputable institutions such as Jinan University and Macalester College. His experience in these academic environments has contributed to his expertise in artificial intelligence and machine learning.

Collaborations

Some of Tingrong Zhi's notable coworkers include Feiran Huang and Zihong Yang. Their collaborative efforts in research and development have further advanced the field of artificial intelligence.

Conclusion

Tingrong Zhi's innovative patents and contributions to artificial intelligence demonstrate his commitment to advancing technology. His work in camera pose estimation and news recommendation systems highlights the potential of AI in enhancing user experiences and accuracy in various applications.