Jersey City, NJ, United States of America

Ming Li

This inventor holds 2 USPTO granted patents. Top assignee: Syracuse University. Active years: 1999.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming Li. Retrieved from https://idiyas.com/inventor/ming-li-gvduhps4

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 1,418(Granted Patents)


Company Filing History:


Years Active: 1999

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Ming Li

Introduction

Ming Li is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of document retrieval systems, holding 2 patents that showcase his expertise in natural language processing and multilingual capabilities.

Latest Patents

Ming Li's latest patents include a "Multilingual document retrieval system and method using semantic vector." This innovative system allows users to enter queries in various supported languages and retrieve relevant documents from a database, regardless of their knowledge of other languages. The system processes each document to create a language-independent conceptual representation, ensuring accurate matching based on the content of both the documents and the queries.

Another notable patent is the "Natural language information retrieval system and method." This invention employs advanced natural language processing techniques to generate sophisticated representations of queries and documents. The system processes user queries to create alternative representations, which are then matched to a relevant document database. This approach enhances the user's ability to find pertinent information efficiently.

Career Highlights

Ming Li is currently affiliated with Syracuse University, where he continues to advance research in document retrieval and natural language processing. His work has significantly impacted how information is accessed and utilized in various languages.

Collaborations

Ming Li collaborates with esteemed colleagues, including Elizabeth D. Liddy and Woojin Paik. Their combined expertise fosters an environment of innovation and research excellence.

Conclusion

Ming Li's contributions to the field of document retrieval systems exemplify his innovative spirit and dedication to enhancing information accessibility. His work continues to influence the landscape of natural language processing and multilingual document retrieval.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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