Yumei Zhang

Title: Yumei Zhang: Innovator in Semantic Segmentation and Data Processing

Introduction

Yumei Zhang is a prominent inventor based in Beijing, China. She has made significant contributions to the fields of semantic segmentation and data processing, holding a total of 5 patents. Her innovative work has garnered attention in both academic and industrial circles.

Latest Patents

One of her latest patents is a "Semantic segmentation network model uncertainty quantification method based on evidence inference." This method involves constructing a Fully Convolutional Network (FCN) model and training it with a dataset to achieve semantic segmentation of image data. The process includes applying Dempster-Shafer theory to quantify uncertainty in classification results for each pixel. Another notable patent is the "Method and apparatus for processing data of a target driving device, electronic device and medium." This method generates notifications for audio/video devices that are out of operation, ensuring effective communication between clients and servers.

Career Highlights

Yumei Zhang has worked with notable companies such as Hewlett Packard Enterprise Development LP and Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd. Her experience in these organizations has allowed her to refine her skills and contribute to cutting-edge technologies.

Collaborations

Yumei has collaborated with talented individuals in her field, including Hao Liu and Lihao Cheng. These partnerships have fostered innovation and have been instrumental in her research and development efforts.

Conclusion

Yumei Zhang's contributions to semantic segmentation and data processing highlight her role as a leading inventor in her field. Her innovative patents and collaborations reflect her commitment to advancing technology and solving complex problems.