Chaoran Wei

Title: **Innovation Through Graph Neural Networks: The Work of Chaoran Wei**

Introduction

Chaoran Wei, an inventive mind based in New York, NY, has made significant strides in the field of technology with his unique approach to understanding brand similarities. As an employee of Amazon Technologies, Inc., Wei has leveraged cutting-edge techniques to impact the digital marketing landscape.

Latest Patents

Wei holds a notable patent titled "Inferring brand similarities using graph neural networks and selection prediction." This patent describes various embodiments for inferring brand similarities by generating a brand-to-brand graph based on click-through data or conversion data. By employing a first graph neural network (GNN) tower and a second GNN tower, the technique analyzes brand relationships, determining levels of similarity between different brands based on their respective data outputs.

Career Highlights

Chaoran Wei's contributions at Amazon Technologies, Inc. highlight his expertise and innovative thinking in technology and data analysis. His ability to create intelligent systems that infer relationships among brands reflects the growing importance of machine learning and neural networks in the business domain.

Collaborations

Wei collaborates closely with esteemed colleagues Shaunak Mishra and Anirban Sengupta, whose combined expertise fosters an environment ripe for innovation. Their collaboration illustrates a strong synergy in tackling complex problems within their research and development endeavors.

Conclusion

Chaoran Wei stands out as a forward-thinking inventor at the intersection of artificial intelligence and marketing analytics. His work, underscored by his patent on inferring brand similarities, not only enhances understanding within the digital marketplace but also paves the way for future innovations in the field. Through his role at Amazon Technologies, Inc., Wei continues to push the boundaries of what is possible with technology.