Ziyi Yang

Title: Ziyi Yang - Innovator in Anomaly Detection

Introduction

Ziyi Yang is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of anomaly detection through his innovative patent. His work focuses on enhancing the capabilities of generative adversarial networks to identify anomalies effectively.

Latest Patents

Ziyi Yang holds a patent titled "Anomaly Augmented Generative Adversarial Network." This invention outlines systems and methods for anomaly detection. One embodiment of the invention includes a method for training a system to detect anomalous samples. The method involves drawing data samples from both a true sample distribution and an anomaly distribution. It also includes steps for training a generator to produce data samples based on these drawn samples and a latent sample. Furthermore, the method trains a cyclic discriminator to differentiate between true data samples and reconstructed samples. The invention aims to improve the accuracy and efficiency of anomaly detection systems.

Career Highlights

Throughout his career, Ziyi Yang has worked with notable organizations, including Leland Stanford Junior University and Ford Global Technologies, LLC. His experience in these institutions has contributed to his expertise in the field of technology and innovation.

Collaborations

Ziyi has collaborated with talented individuals such as Eric Felix Darve and Iman Soltani Bozchalooi. These collaborations have further enriched his work and expanded his impact in the field.

Conclusion

Ziyi Yang is a pioneering inventor whose work in anomaly detection through generative adversarial networks showcases his innovative spirit. His contributions are poised to make a significant impact in various technological applications.