Beijing, China

Jingfeng Li

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jingfeng Li. Retrieved from https://idiyas.com/inventor/jingfeng-li-gq26n03p

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Inventor Jingfeng Li: A Pioneer in Deep Learning for Entity Relation Extraction

Introduction: Jingfeng Li is an innovative inventor based in Beijing, China, who has made significant contributions to the realm of artificial intelligence. His work focuses on leveraging deep learning techniques for processing and understanding complex data relationships. With one patent to his name, Li's contributions continue to shape the future of technology.

Latest Patents: Jingfeng Li holds a patent titled "Method and device for extracting entity relation based on deep learning, and server." This invention presents a sophisticated method for extracting entity relations by preprocessing text, identifying entity pairs, and determining candidate relations which ultimately lead to the identification of specific entity relations. The application of this patent can extend to various fields, enhancing data mining capabilities and improving the efficiency of information retrieval systems.

Career Highlights: Li is associated with Beijing Baidu Netcom Science and Technology Co., Ltd., a leading company in Internet services and artificial intelligence innovation. His role within the organization enables him to collaborate on groundbreaking projects and refine technologies that influence how data is analyzed and utilized globally.

Collaborations: Throughout his career, Jingfeng Li has worked alongside notable colleagues such as Shuangjie Li and Yabing Shi. These collaborations reflect a shared commitment to pushing the boundaries of deep learning and artificial intelligence, fostering an environment where innovation thrives.

Conclusion: Jingfeng Li exemplifies the spirit of innovation within the technology sector. With his patent on entity relation extraction using deep learning, he stands at the forefront of advancements that can transform data processing. As his career unfolds, Li’s contributions are poised to make a lasting impact on artificial intelligence and data mining industries.

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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