Ying Jin

Title: Innovations by Inventor Ying Jin

Introduction

Ying Jin is a notable inventor based in Redmond, WA, who has made significant contributions to the field of machine learning and digital image analysis. With a total of three patents to his name, he has developed innovative methods that enhance the efficiency and accuracy of machine learning models and object detection systems.

Latest Patents

One of Ying Jin's latest patents is titled "Environment-specific training of machine learning models." This invention outlines a method for training machine learning models that are tailored to specific environments. The process involves receiving a data stream that includes sequential data snippets, generating programmed labels for these snippets, and utilizing a server-side computing device for evaluation. The resulting environment-specific training updates improve the model's performance in real-world applications.

Another significant patent is "Focused computer detection of objects in images." This invention aims to enhance the accuracy and efficiency of object detection through digital image analysis. By directing the analysis to specific sub-portions of a digital image based on the detection of certain objects, the method reduces computational load and improves the accuracy of subsequent detections. This approach leverages relationships between objects to optimize both the area of analysis and the confidence levels of detections.

Career Highlights

Ying Jin is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work focuses on developing cutting-edge solutions that address complex challenges in machine learning and image processing.

Collaborations

Ying Jin collaborates with talented individuals such as Zicheng Liu and Kun Luo, who contribute to the innovative projects at Microsoft Technology Licensing, LLC. Their combined expertise fosters a creative environment that drives technological advancements.

Conclusion

Ying Jin's contributions to machine learning and digital image analysis exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving efficiency and accuracy in complex systems, making him a valuable asset in the field of technology.