Changchun, China

Huihua Gao

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Jilin University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Huihua Gao. Retrieved from https://idiyas.com/inventor/huihua-gao

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Huihua Gao: Innovator in Driving Behavior Modeling

Introduction

Huihua Gao is a prominent inventor based in Changchun, China. He has made significant contributions to the field of driving behavior simulations. His innovative approach focuses on enhancing the understanding of driving behaviors through advanced modeling techniques.

Latest Patents

Huihua Gao holds a patent titled "Method for driving behavior modeling based on spatio-temporal information fusion." This patent presents a method that constructs a driving behavior model incorporating a spatial information encoding network, a temporal information encoding network, a feature fusion network, and a feature decoding network. The model aims to determine the future trajectory sequence of a target main vehicle based on spatial and temporal information, allowing for improved driving behavior simulations.

Career Highlights

Huihua Gao is affiliated with Jilin University, where he continues to advance research in driving behavior modeling. His work has garnered attention for its innovative approach and practical applications in the automotive industry.

Collaborations

Huihua Gao collaborates with notable colleagues, including Hong Chen and Ting Qu. Their combined expertise contributes to the development of cutting-edge technologies in driving behavior analysis.

Conclusion

Huihua Gao's contributions to driving behavior modeling exemplify the impact of innovative thinking in the field of automotive research. His patent and ongoing work at Jilin University highlight the importance of integrating spatial and temporal information in understanding driving behaviors.

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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