Company Filing History:
1 out of 479 
1 out of 69 Years Active: 2025
Title: Innovations of Hangjian Yuan
Introduction
Hangjian Yuan is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of convolution operations and processor efficiency. With a total of 2 patents, Yuan's work reflects his dedication to advancing computational methods.
Latest Patents
Yuan's latest patents include a convolution operation method, a convolution operation apparatus, an electronic device, and a storage medium. The method involves determining an operation convolution kernel based on an initial convolution kernel. It also includes adjusting the arrangement mode of input data according to the number of channels of the operation convolution kernel to obtain target data. This innovative approach enhances the efficiency of convolution operations, leading to improved results in various electronic devices.
Another significant patent focuses on improving the computing efficiency of processors. This technique optimizes the computational size of each computing core by obtaining a configuration space for a target parameter and a computational time model. By traversing the target parameter in the configuration space, Yuan's method identifies the optimal parameter that minimizes computational time, thereby enhancing processor performance.
Career Highlights
Yuan has worked with several companies, including Beijing Zitiao Network Technology Co., Ltd. and Beijing Youzhuju Network Technology Co., Ltd. His experience in these organizations has contributed to his expertise in developing innovative technologies.
Collaborations
Yuan has collaborated with notable professionals in his field, including Yunfeng Shi and Tao Li. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Hangjian Yuan's contributions to technology through his patents and collaborations highlight his role as a significant inventor in the field. His work continues to influence advancements in computational methods and processor efficiency.
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