Santa Clara, CA, United States of America

Xiaolan Zhou

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Xiaolan Zhou

Introduction

Xiaolan Zhou is an accomplished inventor based in Santa Clara, CA. She has made significant contributions to the field of technology, particularly in the area of content creation and editing. With a total of 2 patents, her work showcases her innovative approach to enhancing user interfaces through advanced machine learning techniques.

Latest Patents

Xiaolan Zhou's latest patents focus on a conversational interface for content creation and editing using large language models. The example method outlined in her patents includes generating an initial user interface that features a content assistant component. This method involves obtaining user input data and processing it through a machine-learned model that interfaces with the content assistant. The output data generated indicates one or more content item components, which are then displayed via an updated user interface. The process also includes obtaining user approval for the content item components and generating content items based on that approval.

Career Highlights

Xiaolan Zhou is currently employed at Google Inc., where she continues to push the boundaries of innovation. Her work has been instrumental in developing user-friendly interfaces that leverage the power of artificial intelligence.

Collaborations

Throughout her career, Xiaolan has collaborated with notable colleagues, including Sylvanus Garnet Bent III and Mehmet Levent Koc. These collaborations have further enriched her work and contributed to the advancement of technology in her field.

Conclusion

Xiaolan Zhou's contributions to the field of technology through her innovative patents and work at Google Inc. highlight her role as a leading inventor. Her focus on enhancing user interfaces through machine learning continues to pave the way for future advancements in content creation and editing.

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