Xiangdi Li

Title: Xiangdi Li: Innovator in Neural Network Communication and Image Segmentation

Introduction

Xiangdi Li is a prominent inventor based in Hangzhou, China. He has made significant contributions to the fields of neural networks and image processing. With a total of 2 patents, his work focuses on enhancing communication methods and image segmentation techniques using FPGA technology.

Latest Patents

Xiangdi Li's latest patents include a "Communication method for multi-chip neural network algorithm based on FPGA main control." This innovative method designs various data frames to facilitate image processing based on neural network algorithms. It ensures effective communication of multi-layer data structures and accurately schedules the transmission and reception of data within multi-chip systems.

Another notable patent is the "Method and system for overlapping sliding window segmentation of image based on FPGA." This method optimizes the use of on-chip BRAMs in FPGA to cache pixel data for segmented sub-images. It allows for efficient data writing from on-chip BRAMs to off-chip DDR memory, enhancing the performance of image segmentation tasks.

Career Highlights

Xiangdi Li is currently employed at Zhejiang Lab, where he continues to push the boundaries of technology in his field. His work has garnered attention for its practical applications in advanced computing and image processing.

Collaborations

Xiangdi Li collaborates with talented individuals such as Songnan Ren and Li Yan, contributing to a dynamic research environment that fosters innovation.

Conclusion

Xiangdi Li's contributions to neural network communication and image segmentation highlight his role as a leading inventor in the technology sector. His patents reflect a commitment to advancing the capabilities of FPGA technology, paving the way for future innovations.