This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. 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: Simiao Zuo: Innovator in Tagging Model Training
Introduction
Simiao Zuo is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning, particularly in the development of advanced tagging models. His innovative approach enhances the interpretation of queries, which is crucial for various applications in technology.
Latest Patents
Simiao Zuo holds a patent titled "Multi-stage training of a tagging model with query supplementation and adversarial enhancement." This patent describes a technique for training a tagging model that can effectively interpret queries through a multi-stage process. The first stage involves continuing the training of a pre-trained language model based on a set of queries, resulting in a first-stage model. The second stage utilizes supplemented queries and weak labels to produce a second-stage model. Finally, the third stage incorporates strong labels and adversarial knowledge enhancement, improving the model's generalization capabilities and robustness. He has 1 patent to his name.
Career Highlights
Simiao Zuo is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and artificial intelligence. His work focuses on enhancing the capabilities of tagging models, which are essential for improving user interactions with technology.
Collaborations
Some of his notable coworkers include Qiang Lou and Eren Manavoglu. Their collaborative efforts contribute to the advancement of innovative technologies within their organization.
Conclusion
Simiao Zuo's contributions to the field of tagging model training exemplify the importance of innovation in technology. His work not only enhances the functionality of machine learning models but also paves the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
