Yan Zheng

Title: Innovations and Contributions of Yan Zheng

Introduction

Yan Zheng is a prominent inventor based in Foster City, California. She has made significant contributions to the field of technology, particularly in the area of knowledge graph neural networks and time series analysis. With a total of 14 patents to her name, her work has had a substantial impact on various applications in the tech industry.

Latest Patents

One of her latest patents is titled "System, method, and computer program product for saving memory during training of knowledge graph neural networks." This invention provides methods for optimizing memory usage during the training of knowledge graph neural networks. The process involves receiving a training dataset, generating knowledge graph embeddings, quantizing these embeddings, and efficiently storing and dequantizing them for further use.

Another notable patent is "Error-bounded approximate time series join using compact dictionary representation of time series." This method focuses on determining and processing time series data to identify anomalies. It includes forming a processed matrix profile and comparing subsequences to a dictionary, ultimately generating an approximate matrix profile for anomaly detection.

Career Highlights

Yan Zheng has worked with notable organizations such as Visa International Service Association and Visa International Service Application. Her experience in these companies has allowed her to apply her innovative ideas in real-world scenarios, contributing to advancements in financial technology.

Collaborations

Throughout her career, Yan has collaborated with talented individuals, including Wei Zhang and Michael Yeh. These partnerships have fostered a creative environment that has led to the development of her groundbreaking inventions.

Conclusion

Yan Zheng's contributions to technology through her patents and collaborations highlight her role as an influential inventor. Her work continues to shape the future of knowledge graph neural networks and time series analysis, demonstrating the importance of innovation in today's digital landscape.