Yifan Zhao

Title: Yifan Zhao: Innovator in Signal Processing and Image Recognition

Introduction

Yifan Zhao is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of signal processing and image recognition, holding a total of four patents. His innovative work has the potential to enhance technology in various applications.

Latest Patents

Yifan Zhao's latest patents include a signal processing method and apparatus. This invention provides a method where a first device determines a target insertion position of a pilot sequence in a first frequency-domain signal based on data bits in a first sub-data signal. The method combines pilot sequences with a second sub-data signal to improve spectrum resource utilization rates. Another notable patent is a fine-grained image recognition method and apparatus that utilizes graph structures for high-order relation discovery. This method involves inputting an image into a convolutional neural network, extracting network feature graphs, and forming classification vectors to achieve fine-grained classification results.

Career Highlights

Yifan Zhao has worked at prestigious institutions such as Beihang University and Beijing University of Posts and Telecommunications. His experience in these organizations has allowed him to collaborate with leading experts in his field and contribute to groundbreaking research.

Collaborations

Some of Yifan Zhao's notable coworkers include Jia Qi Li and Qinping Zhao. Their collaborative efforts have further advanced the research and development of innovative technologies.

Conclusion

Yifan Zhao's contributions to signal processing and image recognition demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex technologies and a drive to improve existing methods.