Company Filing History:
Years Active: 2020-2025
Title: Innovations of Jingjia Huang
Introduction
Jingjia Huang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of memory networks and video analysis through his innovative patents. With a total of two patents to his name, Huang's work showcases his expertise and dedication to advancing technology.
Latest Patents
Huang's latest patents include a "Memory network method based on automatic addressing and recursive information integration." This method integrates automatic addressing and recursive information within a memory neural network framework, resulting in an efficient and lightweight memory network. It utilizes a novel computing unit to read and write memory with low time and space complexity, making it suitable for various time sequence processing tasks. The performance of this method surpasses that of conventional LSTM and previous memory networks.
Another notable patent is the "Method for detecting violent incident in video based on hypergraph transition." This method involves extracting a foreground target track and establishing a hypergraph to describe the spatial relationships of feature points. It effectively models the transition of hypergraphs over time, allowing for the detection of violent incidents in videos. The method is particularly sensitive to disorderly and irregular behaviors, making it a valuable tool for video analysis.
Career Highlights
Jingjia Huang is affiliated with Peking University, where he continues to contribute to research and innovation in his field. His work has garnered attention for its practical applications and technological advancements.
Collaborations
Huang collaborates with notable colleagues, including Ge Li and Nannan Li, who share his commitment to innovation and research excellence.
Conclusion
Jingjia Huang's contributions to memory networks and video analysis highlight his role as a leading inventor in the technology sector. His innovative patents reflect a deep understanding of complex systems and a commitment to improving technological solutions.