Zhicheng Yan

Title: Zhicheng Yan: Innovator in Deep Learning Technologies

Introduction

Zhicheng Yan is a prominent inventor based in Champaign, IL (US). He has made significant contributions to the field of deep learning, particularly in image classification technologies. His innovative approach has led to the development of advanced neural network architectures that enhance the capabilities of traditional convolutional neural networks.

Latest Patents

Zhicheng Yan holds a patent for a "Hierarchical deep convolutional neural network for image classification." This invention introduces hierarchical branching deep convolutional neural networks (HD-CNNs) that improve existing convolutional neural network (CNN) technology. In a HD-CNN, classes that can be easily distinguished are classified in a higher layer coarse category CNN, while the most difficult classifications are performed on lower layer fine category CNNs. The training of HD-CNNs may utilize multinomial logistic loss and a novel temporal sparsity penalty. This innovative approach allows each branching component to handle distinct subsets of categories, enhancing the overall classification process.

Career Highlights

Zhicheng Yan is currently employed at eBay, Incorporated, where he continues to work on cutting-edge technologies in the field of artificial intelligence and machine learning. His expertise in deep learning has positioned him as a valuable asset in the tech industry.

Collaborations

Throughout his career, Zhicheng has collaborated with notable colleagues, including Robinson Piramuthu and Vignesh Jagadeesh. These collaborations have further enriched his research and development efforts in the realm of deep learning.

Conclusion

Zhicheng Yan's contributions to deep learning and image classification are noteworthy, showcasing his innovative spirit and dedication to advancing technology. His work continues to influence the field and inspire future developments in artificial intelligence.