Huzhou, China

Yunliang Jiang

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Huzhou University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yunliang Jiang. Retrieved from https://idiyas.com/inventor/yunliang-jiang

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

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USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yunliang Jiang: Innovator in Fuzzy Classifiers

Introduction

Yunliang Jiang is a prominent inventor based in Huzhou, China. He has made significant contributions to the field of fuzzy classification systems, particularly through his innovative patent.

Latest Patents

One of Yunliang Jiang's notable patents is the "Born-again TSK fuzzy classifier based on knowledge distillation." This application introduces a novel approach to fuzzy classification, denoted as CNNBaTSK. The CNNBaTSK incorporates a fuzzy rule that consists of two parts: an antecedent part based on soft label information and a consequent part based on original data. The construction of the fuzzy rule involves several steps, including the use of original data to obtain a probability distribution and the partitioning of soft label information into fixed fuzzy partitions.

Career Highlights

Yunliang Jiang is affiliated with Huzhou University, where he continues to advance research in fuzzy systems and artificial intelligence. His work has garnered attention for its innovative approach to knowledge distillation and fuzzy classification.

Collaborations

Yunliang Jiang has collaborated with notable colleagues, including Xiongtao Zhang and Jungang Lou. Their joint efforts contribute to the advancement of research in their respective fields.

Conclusion

Yunliang Jiang's contributions to fuzzy classification through his patented innovations highlight his role as a leading inventor in the field. His work continues to influence advancements in artificial intelligence and fuzzy systems.

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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