Yanqi Zhou

Title: Yanqi Zhou: Innovator in Computational Graph Optimization

Introduction

Yanqi Zhou is a prominent inventor based in Sunnyvale, California. She has made significant contributions to the field of neural networks, particularly in optimizing their operations. With a total of two patents to her name, Zhou is recognized for her innovative approaches in computational graph optimization.

Latest Patents

Yanqi Zhou's latest patents focus on methods, systems, and apparatus for optimizing the execution of operations within neural networks. One of her notable inventions involves obtaining data that represents a graph characterizing multiple operations of a neural network. In this graph, each node represents an operation, while each edge signifies the data dependency between these operations. The process includes utilizing a graph embedding neural network to generate an embedding of the graph, followed by processing this embedding with a policy neural network to produce a task output. This output provides a decision for each operation regarding a specific optimization task.

Career Highlights

Zhou is currently employed at Google Inc., where she continues to push the boundaries of technology through her research and development efforts. Her work has garnered attention for its potential to enhance the efficiency of neural networks, making them more effective in various applications.

Collaborations

Throughout her career, Yanqi Zhou has collaborated with notable colleagues, including Sudip Roy and Amirali Abdolrashidi. These partnerships have contributed to her innovative projects and have fostered a collaborative environment for technological advancement.

Conclusion

Yanqi Zhou stands out as a key figure in the realm of computational graph optimization. Her contributions to neural network technology are paving the way for future innovations in the field.