Orinda, CA, United States of America

Changsheng Chen


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Changsheng Chen: Innovator in Prediction Model Training

Introduction

Changsheng Chen is a notable inventor based in Orinda, CA (US). He has made significant contributions to the field of prediction modeling, particularly through his innovative patent. With a focus on enhancing the accuracy and efficiency of prediction models, Chen's work is paving the way for advancements in various applications.

Latest Patents

Changsheng Chen holds a patent titled "Prediction model training using detected anomalies." This patent describes a system for a prediction model that includes an interface and a processor. The interface is designed to receive historical data, while the processor determines hyperparameters based on the best model of N models. It also trains the prediction model using these hyperparameters on the historical data. Furthermore, the system identifies detected anomalies based on the output of the prediction model, receives user feedback on both detected and undetected anomalies, and retrains the prediction model accordingly. This innovative approach enhances the model's accuracy and adaptability.

Career Highlights

Chen is currently employed at Workday, Inc., where he applies his expertise in prediction modeling. His work at this leading company allows him to contribute to the development of advanced technological solutions that benefit various industries.

Collaborations

Some of Changsheng Chen's coworkers include Kiran Prabhakara and Arun Krishnaswamy. Their collaboration fosters a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Changsheng Chen's contributions to prediction model training demonstrate his commitment to innovation and excellence in technology. His patent reflects a deep understanding of the complexities involved in predictive analytics, making him a valuable asset in his field.

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