Ying Shan

Title: Innovations by Ying Shan: Transforming Information Retrieval and Predictive Modeling

Introduction

Ying Shan, an accomplished inventor based in Sammamish, Washington, holds an impressive portfolio of 32 patents. His innovative work significantly contributes to advancements in computational search methods and predictive modeling frameworks. A prominent figure in the technology landscape, Shan has demonstrated expertise that bridges the gap between complex algorithms and practical applications.

Latest Patents

Among his latest contributions, Shan introduced a patent for "Recurrent Binary Embedding for Information Retrieval." This invention presents a computational search method aimed at enhancing the retrieval of information related to specific queries. The approach involves transforming multiple candidate answers into candidate answer recurrent binary embedding (RBE) embeddings using a trained RBE model. Furthermore, a query is transformed into a query RBE embedding, enabling efficient comparison against candidate answer embeddings using a similarity function. This cutting-edge methodology allows for the sorting and timely return of the top candidate answers based on their relevance.

Another notable patent, "Automated Predictive Modeling and Framework," offers a sophisticated predictive framework that encompasses multiple neural layers of adaptable, executable neurons. This innovative system accepts one or more input signals and produces an output signal leveraged by upper-level neural layers. The encoding neural layer ensures a 1:1 correspondence between each input signal and an encoding neuron, effectively processing inputs and improving predictive accuracy for various datasets. This framework plays a pivotal role in predicting user interactions with content in search results.

Career Highlights

Ying Shan's professional journey is marked by significant engagements with leading technology organizations. He has contributed his expertise to Microsoft Technology Licensing, LLC, where his work focused on enhancing software applications and information retrieval methodologies. Additionally, Shan has worked with SRI International, where he further developed his skills and innovative capabilities in research and development.

Collaborations

Throughout his career, Shan has collaborated with notable professionals in the field, including Zhengyou Zhang and Rakesh Kumar. These partnerships have enabled him to push the boundaries of technology and foster an environment of innovation and creativity, driving collective advancements.

Conclusion

Ying Shan's prolific contributions to patents and innovative technologies have had a lasting impact on information retrieval and predictive modeling. His work exemplifies the spirit of invention, showcasing how complex ideas can be transformed into practical solutions that enhance user experiences and streamline processes. As he continues to innovate, the technology community eagerly anticipates further advancements stemming from his research and expertise.