Redmond, WA, United States of America

Congrui Huang


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: Innovations by Congrui Huang in Anomaly Detection

Introduction

Congrui Huang, an inventive mind based in Redmond, WA, has made significant strides in the field of anomaly detection. With a single patent to his name, he demonstrates a strong capability in leveraging feedback mechanisms to enhance data analysis. His work is particularly relevant in today's data-driven landscape, where the ability to detect anomalies can lead to improved decision-making across sectors.

Latest Patents

The patent registered by Congrui Huang is titled "Customized Anomaly Detection - Methods and Apparatuses for Implementing Customized Anomaly Detection." This innovative approach involves obtaining time-series data filled with numerous data points. The patent outlines a process where anomaly detection is executed through a specialized model. A pivotal aspect of this invention is its ability to incorporate feedback related to anomaly detection results from the data points, utilizing reinforcement learning techniques to refine the detection model continuously.

Career Highlights

Congrui Huang is associated with Microsoft Technology Licensing, LLC, where he applies his expertise to further advancements in technology. His dedication to innovating data processing methods sets a benchmark in the industry, particularly in enhancing anomaly detection capabilities.

Collaborations

Throughout his career, Congrui Huang has collaborated with skilled colleagues like Yujing Wang and Bixiong Xu. These partnerships underscore the importance of teamwork in driving technological innovations and achieving substantial research outcomes.

Conclusion

Congrui Huang's contributions to the realm of anomaly detection underscore the ongoing advancements in data analysis technologies. His unique approach to feedback-driven model enhancement signifies a valuable innovation in anomaly detection. As technology continues to evolve, the impact of such innovations will undoubtedly resonate across various industries, improving data intelligence and decision-making strategies.

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