Yinglong Wang

Title: Innovations of Yinglong Wang

Introduction

Yinglong Wang is a notable inventor based in Jinan, China. He has made significant contributions to the field of technology, particularly in the areas of electrocardiogram signal classification and computing power network scheduling. With a total of 6 patents to his name, Wang's work reflects a commitment to advancing technological solutions.

Latest Patents

One of his latest patents is a few-shot electrocardiogram (ECG) signal classification method based on an improved Siamese network. This innovative method constructs a CMP module as a sub-network of a Siamese network, combining extracted local and global features to enhance the analysis of peak information such as position, amplitude, and offset. This approach results in a more robust transformed feature vector, ultimately improving the accuracy and stability of few-shot ECG signal classification.

Another significant patent is a method and system for computing power network scheduling service based on comprehensive weight decision of network performance. This method involves a computing power network service platform that integrates filtered storage platforms and computing power platforms from different data centers. It constructs a multi-objective optimization function based on various network performance indicators and user resource demands, leading to the optimal combination of storage and computing power platforms for efficient job deployment.

Career Highlights

Yinglong Wang has worked at prominent institutions such as Qilu University of Technology and the Shandong Computer Science Center, which is recognized as the National Supercomputing Center in Jinan. His experience in these organizations has allowed him to develop and refine his innovative ideas.

Collaborations

Wang has collaborated with notable colleagues, including Minglei Shu and Zhaoyang Liu. Their joint efforts have contributed to the advancement of technology in their respective fields.

Conclusion

Yinglong Wang's contributions to innovation and technology are evident through his patents and career achievements. His work continues to influence the fields of electrocardiogram analysis and computing power optimization.