Shanghai, China

Ruobai Wang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Paypal, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ruobai Wang: Innovator in Document Classification Technology

Introduction

Ruobai Wang is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of document classification through innovative machine learning techniques. His work focuses on enhancing the accuracy and efficiency of classifying digital images of documents.

Latest Patents

Ruobai Wang holds a patent for an invention 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 distinct modalities into respective embeddings. The different embeddings generated by the encoders are fused together using various fusion techniques, and the fused embedding is then provided to a machine learning model for classifying the document. He has 1 patent to his name.

Career Highlights

Ruobai Wang is currently employed at PayPal, Inc., where he continues to develop innovative solutions in the realm of document classification. His expertise in machine learning and feature fusion has positioned him as a valuable asset in his field.

Collaborations

Some of Ruobai Wang's coworkers include Yuan Wang and Ao Li, who contribute to the collaborative environment that fosters innovation and creativity in their projects.

Conclusion

Ruobai Wang's work in document classification exemplifies the intersection of technology and innovation. His contributions are paving the way for advancements in machine learning applications.

Profile summary based on public USPTO records.
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