Jersey City, NJ, United States of America

Xiao Jin

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiao Jin. Retrieved from https://idiyas.com/inventor/xiao-jin-zoamuau9

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Xiao Jin

Introduction

Xiao Jin is a notable inventor based in Jersey City, NJ (US). She has made significant strides in the field of image processing, particularly in the rapid reconstruction of high-resolution images from lower-resolution images. Her work has implications for various applications, including physics events and neural networks.

Latest Patents

Xiao Jin holds a patent for her innovative approach titled "Rapid reconstruction of high resolution images from lower resolution images." This patent describes a method that receives a time sequence of low-resolution images depicting a physics event. The method interpolates two adjacent low-resolution images to create a higher spatial-resolution interpolated image. It then inputs a previous high-resolution image and the interpolated image into a neural network that incorporates a physics constraint relevant to the physics event. The neural network is trained to minimize the mean squared difference between a smoothed version of the output and the input at the same time, along with the difference between the high-resolution output and a second relevant physics equation. This patent showcases her expertise and innovative thinking in the field.

Career Highlights

Xiao Jin is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in image processing and artificial intelligence.

Collaborations

Xiao collaborates with talented coworkers, including Chulin Wang and Andrés Codas Duarte. These collaborations enhance her research and development efforts, leading to innovative solutions in her field.

Conclusion

Xiao Jin's contributions to the field of image processing through her patent and work at IBM highlight her as a significant figure in innovation. Her ability to merge physics with advanced neural network techniques demonstrates her expertise and commitment to pushing the boundaries of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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