Xiangchen Huo

Title: Xiangchen Huo’s Patents in Risk Management

Introduction

Xiangchen Huo is an inventor associated with Dallas, Texas, and Wells Fargo Bank, N.A. His patent work focuses on applying machine learning to identify potential problems in risk-management processes before they occur.

Latest Patents

Huo’s two listed patents address early warnings for issues tracked by a risk-management system.

“Early Warning for Issue Validation Failure Using Machine Learning Model” describes a system that analyzes issue data and estimates the probability that a proposed resolution will fail validation within a set period. When the predicted risk exceeds a threshold, the system generates a warning. It also updates the machine-learning model using validation outcomes.

“Early Warning for Issue Due Date Revision Using Machine Learning Model” describes a system that estimates whether an issue’s resolution due date will need revision within a set period. If the predicted risk exceeds a threshold, the system generates a warning and adjusts the model based on due-date revision outcomes.

Together, these inventions use predictive risk scores to help identify issues that may require attention. Huo is listed with 2 patents.

Career Highlights

Huo’s listed inventions connect machine-learning predictions with practical risk-management workflows. Both systems use historical outcomes to refine their models and provide warnings when predicted risks exceed specified thresholds.

Collaborations

Huo is associated with Wells Fargo Bank, N.A. His listed coworkers include Jody Vandever and Robin Baldeo.

Conclusion

Xiangchen Huo’s two listed patents apply machine learning to anticipate validation failures and due-date revisions, supporting earlier intervention in risk management.