This inventor holds 1 USPTO granted patent. Top assignee: Paypal, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yan Shen - Innovator in Document Classification Technology
Introduction
Yan Shen is a prominent inventor based in Singapore, known for his contributions to the field of machine learning and document classification. With a focus on developing innovative methods and systems, he has made significant strides in enhancing the efficiency of digital image classification.
Latest Patents
Yan Shen holds a patent titled "Extensible architecture with multimodal feature fusion for document classification." This patent presents methods and systems for classifying a digital image of a document using a machine learning model framework. The framework is designed to provide classification output based on a fusion of features from different modalities extracted from the digital image. It includes multiple encoders, each configured to encode features corresponding to a distinct modality into respective embeddings. The different embeddings generated by the encoders are fused together using various fusion techniques, and the fused embedding is then utilized by a machine learning model for classifying the document. Yan Shen has 1 patent to his name.
Career Highlights
Currently, Yan Shen is employed at PayPal, Inc., where he continues to innovate and develop advanced technologies in the realm of document classification. His work has positioned him as a key player in the integration of machine learning with practical applications.
Collaborations
Throughout his career, Yan has collaborated with talented individuals such as Yuan Wang and Ao Li, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Yan Shen's work in the field of document classification exemplifies the impact of innovative thinking in technology. His contributions continue to shape the future of machine learning applications in document processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
