Shanghai, China

Zijia Wang

USPTO Granted Patents = 90 

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 17(Granted Patents)

Forward Citations (Not Self Cited) = 9(Oct 12, 2025)


Location History:

  • Shanghai, CN (2022 - 2024)
  • WeiFang, CN (2022 - 2024)

Company Filing History:


Years Active: 2022-2025

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90 patents (USPTO):

Title: **Zijia Wang: Innovator in Artificial Intelligence and Personalized Learning**

Introduction

Zijia Wang, located in Shanghai, China, is a prominent inventor known for his contributions to the field of artificial intelligence and education technology. With a remarkable portfolio that includes 48 patents, he has made significant strides in developing innovative solutions that enhance personalized learning experiences.

Latest Patents

Zijia Wang's latest patents reflect his expertise in advanced learning techniques. One notable invention is focused on "Artificial intelligence-driven avatar-based personalized learning techniques." This method includes obtaining various forms of input data from user devices in a virtual learning environment. By leveraging artificial intelligence, it determines user status information and customizes instructional modifications for the user. It also includes modifications to an instructor avatar to better adapt to the user’s needs, ensuring a more engaging learning experience.

Another recent patent involves a method for "extracting target frames" from video data. This process involves acquiring sequences of image frames, generating reverse arrangements, and determining cross-correlation sequences to ultimately identify target frames. This innovation has valuable applications in video processing and analysis.

Career Highlights

Throughout his career, Zijia Wang has collaborated with reputable companies, including Dell Products Inc. and EMC IP Holding Company LLC. His work at these organizations has helped shape the landscape of artificial intelligence applications in education and media.

Collaborations

Zijia Wang has worked alongside talented individuals like Zhen Jia and Jiacheng Ni, who have contributed to his research and development endeavors. Together, they have explored new frontiers in technology, pushing the boundaries of traditional learning methods.

Conclusion

Zijia Wang's innovative approach to personalized learning and image processing highlights his role as a leading inventor in his field. With a substantial number of patents and a commitment to enhancing educational experiences through technology, his contributions continue to influence the way we interact with digital learning environments. His work emphasizes the importance of innovation in transforming education for future generations.

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