Liqiang Yi

Title: Innovative Contributions of Liqiang Yi in Convolution Acceleration

Introduction

Liqiang Yi, a notable inventor hailing from Guangdong, China, has made significant strides in the field of convolution operations and image processing. With a total of two patents, his work stands out for its emphasis on enhancing computational efficiency and reducing power consumption in neural networks.

Latest Patents

Liqiang Yi's recent innovations include two pivotal patents:

1. **Convolution Acceleration Operation Method and Apparatus, Storage Medium, and Terminal Device** - This invention details a comprehensive method for accelerating convolution operations by pre-estimating the running time based on convolution and device parameters. The approach allows for the selection of optimal acceleration algorithms tailored to specific hardware, improving processing speed significantly.

2. **Image Processing Method and Related Device** - This patent describes a new image processing technique aimed at enhancing the efficiency of dilation convolution calculations. By systematically grouping and processing image data, the method leads to reduced power consumption while maintaining computational effectiveness.

Career Highlights

Liqiang Yi is currently affiliated with Shenzhen Intellifusion Technologies Co., Ltd., where his expertise in convolution operations directly contributes to the company’s innovation in artificial intelligence and image processing technologies. His work not only reflects his personal achievements as an inventor but also highlights the company’s commitment to advancing technology for improved practical applications.

Collaborations

Throughout his career, Yi has likely collaborated with a range of professionals at Shenzhen Intellifusion Technologies to further his research and apply his inventions in real-world scenarios. These collaborative efforts are essential in refining his methodologies and ensuring their relevance in evolving technological landscapes.

Conclusion

Liqiang Yi’s contributions to the fields of convolution operations and image processing are commendable and indicate a promising future in enhancing computational technologies. His innovative patents serve as a significant resource for the advancement of efficient algorithms and methods, showcasing the importance of continuous innovation in the tech industry.