Cupertino, CA, United States of America

Guangtao Wang


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Mountain View, CA (US) (2020)
  • Cupertino, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2020-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Guangtao Wang

Introduction

Guangtao Wang is a notable inventor based in Cupertino, California. He has made significant contributions to the field of technology, particularly in sentiment classification and knowledge graph completion. With a total of five patents to his name, his work showcases a blend of advanced computing techniques and innovative methodologies.

Latest Patents

Guangtao Wang's latest patents include a "Method and system for aspect-level sentiment classification by merging graphs" and a "Method and system for relation learning by multi-hop attention graph neural network." The first patent describes a system that utilizes a computing device with a processor and storage to classify sentiment based on aspect term-sentence pairs. This system employs multiple parsers to create dependency trees and merges them into a relation graph for classification. The second patent focuses on completing knowledge graphs using an attention matrix and multi-head diffusion attention to update the graph based on new embeddings.

Career Highlights

Throughout his career, Guangtao Wang has worked with several prominent companies, including JD.com, American Technologies Corporation, and Beijing Wodong Tianjun Information Technology Co., Ltd. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology.

Collaborations

Guangtao Wang has collaborated with notable colleagues such as Xiaochen Hou and Jing Huang. Their joint efforts have likely enhanced the quality and impact of their projects.

Conclusion

Guangtao Wang's contributions to technology through his patents and collaborations highlight his innovative spirit and dedication to advancing the field. His work continues to influence the development of sophisticated systems in sentiment analysis and knowledge graph technologies.

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