Sunnyvale, CA, United States of America

Ping Li

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Ping Li in Artificial Intelligence

Introduction

Ping Li is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of artificial intelligence, particularly in machine learning and natural language processing. With a total of two patents to his name, his work showcases innovative methods that enhance the understanding of sentiment and causality in data.

Latest Patents

Ping Li's latest patents include a "Sentiment parsing method, electronic device, and storage medium." This invention provides a sentiment parsing method and apparatus that identifies the role of a sentiment parsing object in a specified statement. The method involves trimming the statement based on the role of the sentiment parsing object to acquire pruning result information, followed by parsing the sentiment of the object based on this information. His second patent, "Method for discovering causality from data, electronic device and storage medium," outlines a systematic approach to discovering causality from data. This method includes acquiring data, obtaining a covariance matrix, and generating a directed acyclic graph (DAG) to represent the causality discovery results.

Career Highlights

Ping Li is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at this leading technology company allows him to apply his innovative ideas in a practical setting, contributing to advancements in artificial intelligence.

Collaborations

Some of his notable coworkers include Mingming Sun and Minlong Peng. Their collaboration fosters a creative environment that enhances the development of cutting-edge technologies.

Conclusion

Ping Li's contributions to artificial intelligence through his innovative patents demonstrate his expertise and commitment to advancing technology. His work not only addresses current challenges in sentiment analysis and causality discovery but also paves the way for future innovations in the field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…