This inventor holds 4 USPTO granted patents and 18 published patent applications. Top assignee: Oracle International Corporation. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Innovations of Yazhe Hu in Machine Learning
Introduction
Yazhe Hu is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of key-value extraction from documents. His innovative approach has led to the development of a unique multi-stage training model that enhances the efficiency and accuracy of machine learning systems.
Latest Patents
Yazhe Hu holds a patent for a groundbreaking invention titled "Multi-stage machine learning model training for key-value extraction." This patent describes techniques for multi-stage training of a machine learning model to extract key-value pairs from various documents. The system utilizes a set of training data that includes unlabeled documents from different categories. The initial stage focuses on identifying relationships among tokens, such as words, numbers, and punctuation within the documents. Subsequently, the system re-trains the model using a specific category of documents while excluding others. The second stage involves supervised machine learning, where the training data is labeled to identify key-value pairs effectively. The system sets the parameters of the model to an initial state during the first training stage and modifies them based on the characteristics of the training data in the second stage.
Career Highlights
Yazhe Hu's career is marked by his dedication to advancing machine learning technologies. His innovative patent reflects his expertise and commitment to improving document processing systems. With a focus on practical applications, he has contributed to the development of more efficient machine learning models that can handle complex data extraction tasks.
Collaborations
Yazhe Hu has collaborated with notable colleagues, including Jeaff Wang and Mengqing Guo. Their combined efforts have furthered research and development in the field of machine learning, leading to advancements that benefit various industries.
Conclusion
Yazhe Hu's contributions to machine learning, particularly through his patent on multi-stage model training, showcase his innovative spirit and technical expertise. His work continues to influence the way machine learning systems are developed and implemented in real-world applications.