Company Filing History:
17 out of 1,217 
1 out of 8 Years Active: 2008-2023
Title: Innovations and Contributions of Inventor Jia Li
Introduction
Jia Li is a prominent inventor based in State College, PA, known for his significant contributions to the field of technology and data analysis. With a total of 18 patents to his name, he has made remarkable advancements in improving the quality of crowdsourced data and digital image processing.
Latest Patents
One of Jia Li's latest patents is titled "Probabilistic multigraph modeling for improving the quality of crowdsourced affective data." This invention focuses on enhancing the quality of affective data collected from multiple annotators by utilizing a probabilistic model that assesses the reliability of each annotator. The method involves constructing an agreement multigraph and adjusting the data based on the identified reliability of the annotators.
Another notable patent is "Systems and methods for detection of significant and attractive components in digital images." This invention provides a systematic approach to electronically assess the visual significance of pixels or regions within an image. The method includes partitioning the image into segments, constructing an attributed composition graph, and modeling the visual significance to create a composition significance map.
Career Highlights
Jia Li has worked with esteemed institutions such as the Penn State Research Foundation and Penn State University. His work at these organizations has allowed him to explore innovative solutions and contribute to various research projects.
Collaborations
Throughout his career, Jia Li has collaborated with notable colleagues, including James Z Wang and Poonam Suryanarayan. These collaborations have fostered a productive environment for innovation and research.
Conclusion
Jia Li's contributions to technology and data analysis through his patents and collaborations highlight his role as a leading inventor in his field. His work continues to influence advancements in crowdsourced data quality and digital image processing.
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