This inventor holds 5 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignee: Oracle International Corporation. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Yuying Wang: Innovator in Language Identification Technology
Introduction
Yuying Wang is a prominent inventor based in Seattle, WA (US). She has made significant contributions to the field of language identification technology. Her innovative work focuses on enhancing the accuracy and efficiency of language detection in image-based documents.
Latest Patents
Yuying Wang holds a patent titled "Vision-based document language identification by joint supervision." This patent describes a language identification system designed to predict the language and text content of text lines within an image-based document. The system employs a trainable neural network model that integrates multiple neural network models into a single unified end-to-end trainable architecture. The model utilizes both Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to process text lines and extract visual and contextual features. These derived features are instrumental in predicting the language and text content for each text line. The CNN and RNN are jointly trained by calculating losses based on the predicted language and content, along with corresponding language labels and text labels for each text line. Yuying Wang has 1 patent to her name.
Career Highlights
Yuying Wang is currently employed at Oracle International Corporation, where she continues to develop innovative solutions in her field. Her work at Oracle has allowed her to collaborate with other talented professionals and contribute to cutting-edge projects.
Collaborations
Yuying Wang has worked alongside notable colleagues, including Liyu Gong and Zhonghai Deng. These collaborations have further enriched her research and development efforts in language identification technology.
Conclusion
Yuying Wang is a trailblazer in the realm of language identification systems, with her innovative patent showcasing her expertise and dedication to advancing technology. Her contributions are paving the way for more efficient language detection methods in various applications.