Beijing, China

Zi Ming Huang

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.4

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: The Innovations of Zi Ming Huang

Introduction

Zi Ming Huang is a distinguished inventor based in Beijing, China, known for his contributions to the field of artificial intelligence and natural language processing. With a total of five patents to his name, Huang has made significant strides in developing systems that enhance user interactions with technology.

Latest Patents

Among his notable inventions, Huang's latest patents focus on the discovery of new question and answer knowledge from conversations. His innovative approach allows for the automatic discovery of QA pairs from a corpus of online chats, augmenting existing databases used by chatbots and automated machines. Additionally, Huang has developed techniques for generating natural language question templates for AI question and answer systems, which involve parsing graph database queries to produce user-friendly question formats.

Career Highlights

Huang's career is marked by his affiliation with the International Business Machines Corporation (IBM), where he has been instrumental in advancing AI technologies. His expertise in extracting valuable insights from conversational data and enhancing QA systems has paved the way for improved user experiences across various platforms.

Collaborations

Working alongside talented colleagues such as Xue Han and Ya Bin Dang, Huang benefits from a collaborative environment that fosters innovation. Together, they explore new frontiers in AI, pushing the boundaries of what is possible in technology.

Conclusion

Zi Ming Huang's inventive spirit and dedication to enhancing artificial intelligence through innovative patent developments have established him as a leading figure in his field. His work continues to influence the way humans interact with machines, driving forward the possibilities of AI in everyday applications.

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