This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. 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: Suhang Wang: Innovator in Semantic Identification Technologies
Introduction
Suhang Wang is a notable inventor based in State College, PA (US). He has made significant contributions to the field of document encoding and semantic identification. His innovative work is recognized through his patent, which showcases his expertise in machine learning and language models.
Latest Patents
Suhang Wang holds a patent for "Systems for encoding documents and generating semantic identifiers." This patent describes a process where a semantic identifier representing information within a document is determined by training a language model or other machine learning model using a self-supervised process. The model encodes text to generate an embedding, and a decoder determines a semantic identifier token based on this embedding. The accuracy of the semantic identifier token is validated through a second decoder that reconstructs the original text, allowing for the optimization of the machine learning model.
Career Highlights
Suhang Wang is currently employed at Amazon Technologies, Inc., where he applies his skills in developing advanced technologies. His work focuses on enhancing the efficiency and accuracy of semantic identification systems, which are crucial for various applications in data processing and information retrieval.
Collaborations
Suhang has collaborated with talented individuals such as Bowen Jin and Xianfeng Tang. These partnerships have contributed to the advancement of innovative solutions in the field of document encoding and machine learning.
Conclusion
Suhang Wang's contributions to semantic identification technologies highlight his role as an influential inventor in the tech industry. His patent and collaborative efforts reflect his commitment to advancing machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
