Redmond, WA, United States of America

Yujing Wang


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Yujing Wang: Innovator in Customized Anomaly Detection**

Introduction

Yujing Wang is a prominent inventor based in Redmond, WA, recognized for her innovative contributions to the field of anomaly detection. With a keen focus on enhancing data analysis methods, she has made significant strides in improving how organizations detect irregularities within their time-series data.

Latest Patents

Yujing holds one notable patent titled "Customized Anomaly Detection - Methods and Apparatuses for Implementing Customized Anomaly Detection." This patent involves obtaining time-series data comprising numerous data points and executing anomaly detection using a sophisticated anomaly detection model. The process includes receiving feedback related to anomaly detection results for at least one data point, thereby allowing the model to be updated using reinforcement learning based on that feedback.

Career Highlights

Currently, Yujing Wang is employed at Microsoft Technology Licensing, LLC, where her expertise plays a critical role in advancing the company's technology innovations. Her work primarily focuses on developing cutting-edge methods that allow organizations to effectively analyze data and spot anomalies, which can be vital for decision-making and operational efficiency.

Collaborations

Yujing collaborates with notable coworkers such as Congrui Huang and Bixiong Xu, enhancing the creative synergy within her team. Their combined efforts contribute to furthering the research and development of advanced technologies in the realm of data analysis.

Conclusion

Yujing Wang's innovative approach to customized anomaly detection demonstrates the potential for significant advances in data analytics. Through her dedicated work at Microsoft Technology Licensing, LLC, and her collaborative spirit, she continues to contribute valuable insights and technologies that shape the future of anomaly detection and data processing.

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