Mengqing Guo

Title: Mengqing Guo: Innovator in Document Generation and Machine Learning

Introduction

Mengqing Guo is a notable inventor based in Redmond, WA (US). He has made significant contributions to the fields of synthetic document generation and machine learning. With a total of 2 patents, Guo's work focuses on enhancing the efficiency and effectiveness of document processing systems.

Latest Patents

Guo's latest patents include "Generating templates for use in synthetic document generation processes." This innovative system generates templates by selecting entities and characteristics to be included in the template. It employs randomization functions to determine which entities from a candidate set are included, based on associated probabilities. Another significant patent is "Multi-stage machine learning model training for key-value extraction." This patent discloses techniques for training a machine learning model to extract key-value pairs from documents. The process involves multi-stage training, where the initial stage identifies relationships among tokens in documents, followed by a supervised training stage that labels key-value pairs.

Career Highlights

Mengqing Guo is currently employed at Oracle International Corporation, where he applies his expertise in machine learning and document generation. His work at Oracle has positioned him as a key player in advancing technology in these areas.

Collaborations

Guo collaborates with talented coworkers, including Yazhe Hu and Jeaff Wang, contributing to innovative projects and research within the company.

Conclusion

Mengqing Guo's contributions to synthetic document generation and machine learning exemplify his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving document processing systems, making a significant impact in the field.