This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Zhejiang Lab, Zhejiang University. Active years: 2026.
Company Filing History:
1 out of 182 
1 out of 1,270 
Years Active: 2026
Title: Guoquan Zhu: Innovator in Neural Network Acceleration
Introduction
Guoquan Zhu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of neural network acceleration, particularly through his innovative patent. His work focuses on enhancing the efficiency of convolution computations, which are crucial for various applications in artificial intelligence and machine learning.
Latest Patents
Guoquan Zhu holds a patent titled "Parallel method and device for convolution computation and data loading of neural network accelerator." This patent discloses a method that requires two input feature maps and two convolution kernel cache blocks. The method sequentially stores the input feature maps and 64 convolution kernels into cache sub-blocks according to a loading length. This approach allows for the execution of convolution computations while simultaneously loading data for the next group of 64 convolution kernels. He has 1 patent to his name.
Career Highlights
Throughout his career, Guoquan Zhu has worked with notable institutions such as Zhejiang Lab and Zhejiang University. His experience in these organizations has allowed him to develop and refine his innovative ideas in the field of neural networks.
Collaborations
Guoquan Zhu has collaborated with esteemed colleagues, including De Ma and Qiming Lu. Their joint efforts have contributed to advancements in the technology surrounding neural network accelerators.
Conclusion
Guoquan Zhu's contributions to the field of neural network acceleration through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the development of efficient computational methods in artificial intelligence.