Xiao Lin

Title: Innovations by Inventor Xiao Lin

Introduction

Xiao Lin is a prominent inventor based in Princeton, NJ (US), known for his contributions to the field of technology and artificial intelligence. With a total of 4 patents to his name, he has made significant strides in developing innovative solutions that enhance user experience and machine learning capabilities.

Latest Patents

Xiao Lin's latest patents include groundbreaking work in the area of machine learning and user content generation. One of his notable patents is titled "Modular adaptation for cross-domain few-shot learning." This invention describes a method, apparatus, and system for adapting a pre-trained network for application to different datasets. It involves arranging at least two different types of active adaptation modules in a pipeline configuration, allowing for dynamic switching of these modules to optimize performance based on specific hyperparameters.

Another significant patent is "User targeted content generation using multimodal embeddings." This invention focuses on determining user-content associations to provide user-preferred content. It involves creating an embedding space for multimodal content and generating user vector representations to enhance the relevance of the content delivered to users.

Career Highlights

Xiao Lin is currently employed at SRI International, where he continues to push the boundaries of innovation in technology. His work at SRI International has positioned him as a key player in the development of advanced machine learning techniques and user-centric applications.

Collaborations

Throughout his career, Xiao Lin has collaborated with notable colleagues, including Mohamed R Amer and Ajay Divakaran. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Xiao Lin's contributions to the field of technology through his patents and innovative work at SRI International highlight his role as a leading inventor. His advancements in machine learning and user content generation are paving the way for future innovations in the industry.