Beijing, China

Lingzhi Sui


Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 37(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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7 patents (USPTO):Explore Patents

Title: Innovations of Inventor Lingzhi Sui

Introduction

Lingzhi Sui is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks and computational graph optimization. With a total of seven patents to his name, Sui's work is at the forefront of technological advancements in artificial intelligence.

Latest Patents

One of his latest patents is titled "Neural network architecture with high bandwidth memory (HBM)." This invention includes a system that integrates high bandwidth memory with a convolutional neural network engine. The HBM is designed with a virtual bank portion for storing feature map data and a system memory portion for facilitating data exchanges with a host. The CNN engine comprises a convolutional unit for executing convolutional layer instructions and a depthwise convolutional unit for processing depthwise layer instructions. Additionally, it features an on-chip buffer that manages data flow between the virtual bank and the convolutional units.

Another notable patent is "Methods of optimization of computational graphs of neural networks." This invention presents a method for optimizing a neural network computational graph, which is essential for performing calculations on a computational platform. The method involves selecting layers that can be fused based on optimization rules to minimize data exchange frequency between the computational platform and off-chip memory. This optimization can be executed automatically, enhancing the efficiency of neural network computations.

Career Highlights

Lingzhi Sui has worked with several notable companies, including Xilinx, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in the field of neural networks and computational technologies.

Collaborations

Throughout his career, Sui has collaborated with talented individuals such as Yi Shan and Shaoxia Fang. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Lingzhi Sui's contributions to the field of neural networks and computational graph optimization are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology. As he continues to work in this dynamic field, his impact on artificial intelligence will undoubtedly grow.

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