Xiaoting Li

Title: Innovations of Xiaoting Li in Knowledge Graph Neural Networks

Introduction

Xiaoting Li is an accomplished inventor based in Sunnyvale, CA. She has made significant contributions to the field of artificial intelligence, particularly in the area of knowledge graph neural networks. Her innovative work focuses on optimizing memory usage during the training of these complex systems.

Latest Patents

Xiaoting Li holds a patent for a "System, method, and computer program product for saving memory during training of knowledge graph neural networks." This patent outlines a method that includes receiving a training dataset with knowledge graph embeddings, inputting this dataset into a neural network, and generating further sets of embeddings. The process involves quantizing and dequantizing these embeddings to efficiently manage memory usage during training.

Career Highlights

Xiaoting Li is currently employed at Visa International Service Association, where she applies her expertise in machine learning and neural networks. Her work has been instrumental in advancing the capabilities of knowledge graph technologies, which are essential for various applications in data analysis and artificial intelligence.

Collaborations

Xiaoting has collaborated with notable colleagues, including Huiyuan Chen and Michael Yeh. These partnerships have fostered a collaborative environment that enhances innovation and drives research forward.

Conclusion

Xiaoting Li's contributions to the field of knowledge graph neural networks exemplify her commitment to innovation and excellence. Her patent and work at Visa International Service Association highlight her role as a leading inventor in this rapidly evolving domain.