Libin Wang

Title: Libin Wang - Innovator in Deep Neural Networks

Introduction

Libin Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning and artificial intelligence. With a total of 16 patents, Wang's work focuses on enhancing the efficiency and effectiveness of deep neural networks.

Latest Patents

One of Wang's latest patents is titled "Methods and systems for budgeted and simplified training of deep neural networks." This patent discloses innovative methods for training deep neural networks (DNNs) using a plurality of training sub-images derived from down-sampled training images. The system includes a trainer that prepares the DNN and a tester that evaluates the trained DNN with testing sub-images. Additionally, Wang's work involves a recurrent deep Q-network (RDQN) that incorporates a local attention mechanism. This mechanism operates between a convolutional neural network (CNN) and a long-short term memory (LSTM) network, generating feature maps from input images and applying both hard and soft attention to optimize the training process.

Career Highlights

Throughout his career, Libin Wang has worked with notable companies such as Intel Corporation and Procter & Gamble. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of artificial intelligence and machine learning.

Collaborations

Wang has collaborated with talented individuals in his field, including Anbang Yao and Yurong Chen. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Libin Wang is a distinguished inventor whose work in deep neural networks has the potential to revolutionize the field of artificial intelligence. His innovative patents and collaborations highlight his commitment to advancing technology and improving training methodologies for neural networks.