Qing Wang

Title: Qing Wang: Innovator in Convolutional Neural Networks for Oplegnathus Punctatus Identification

Introduction

Qing Wang is a notable inventor based in Yantai, China. He has made significant contributions to the field of artificial intelligence, particularly in the application of convolutional neural networks. His innovative work focuses on the identification of individuals of the species oplegnathus punctatus.

Latest Patents

Qing Wang holds a patent for a method titled "Method for identifying individuals of oplegnathus punctatus based on convolutional neural network." This patent describes a sophisticated approach that utilizes three continuous convolutional layers and an average pooling layer for target initial positioning. The method involves obtaining a region of feature interest points and setting a hyperparameter candidate box to approximate the position of a target object. The II_Net backbone convolutional neural network comprises six convolutional layers and four pooling layers, incorporating a LeakyReLU activation function in the first convolutional layer. The model also employs a genetic algorithm to enhance data transmission between fully connected layers, facilitating the identification of the individual oplegnathus punctatus using test data. Qing Wang has 1 patent to his name.

Career Highlights

Qing Wang is affiliated with Ludong University, where he continues to advance his research in convolutional neural networks and their applications in biological identification. His work has garnered attention for its innovative approach and practical implications in the field of marine biology.

Collaborations

Qing Wang collaborates with colleagues such as Jun Yue and Beibei Li, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in the field.

Conclusion

Qing Wang's contributions to the identification of oplegnathus punctatus through convolutional neural networks exemplify the intersection of technology and biology. His innovative methods and collaborative efforts continue to push the boundaries of research in this area.