Qi Zhang

Title: Qi Zhang and Machine Learning for Network Cost Estimation.

Introduction

Qi Zhang is an inventor based in San Francisco, California. His patent work addresses the use of machine learning to estimate transaction costs associated with card networks.

Latest Patents

Zhang is associated with 1 patent, titled “Machine learning model to estimate network costs.” The invention generates training data using, at least in part, reporting data from a card network and trains a machine learning model on that data. The model identifies a fee description for a transaction, which is used to determine a variable rate and a fixed amount. The technology then estimates costs for transactions, evaluates results against additional reporting data, and displays the costs and results on a client device.

Career Highlights

Zhang’s listed company affiliation is Stripe, Inc. His patent describes an approach to applying machine learning and transaction reporting data to network fee analysis.

Collaborations

The patent’s described system uses card-network reporting data and presents its results through a client device. The provided information does not identify additional collaborators.

Conclusion

Qi Zhang’s patent focuses on using machine learning to estimate and evaluate transaction network costs, reflecting an application of data-driven methods to payment analysis.