Qin Iris Wang

Title: Innovations of Qin Iris Wang

Introduction

Qin Iris Wang is an accomplished inventor based in Cupertino, CA. She has made significant contributions to technology, particularly in the fields of machine learning and social networking systems. With a total of 5 patents, her work continues to influence the industry.

Latest Patents

One of her latest patents is titled "Neural tagger with deep multi-level model." This invention involves technologies capable of reading a text sequence that includes at least one word. It extracts model input data from the text sequence, generating a multi-level feature set for each word using machine learning models. The output is a tagged version of the text sequence, which can be used for executing searches based on the tagged data.

Another notable patent is "Inferring appropriate courses for recommendation based on member characteristics." This system identifies members of a social networking system who are similar to a requesting member. It creates a list of recently learned skills and determines if the member possesses those skills. If not, it identifies courses that teach the necessary skills and transmits the recommendations to the member's device.

Career Highlights

Qin Iris Wang is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and develop new technologies. Her work has garnered attention for its practical applications and contributions to enhancing user experiences in social networking and machine learning.

Collaborations

She has collaborated with notable colleagues, including Siyuan Zhang and Mohsen Jamali, to further advance her projects and research initiatives.

Conclusion

Qin Iris Wang's innovative patents and contributions to technology exemplify her expertise and commitment to advancing the field. Her work continues to inspire future developments in machine learning and social networking systems.