Patents by Inventor Binghuan Zhang

Binghuan Zhang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Optimized interchange code prediction system for processing credit card transactions
    Patent number: 11983731
    Abstract: A computer-implemented method for predicting interchange charges includes: retrieving a historical transactions set, where each completed transaction in the set includes transaction features, a bank identification number (BIN), and a corresponding true interchange code; transforming all BINs in the set into a corresponding plurality of BIN features that comprise probabilities; creating a first training set including all transaction features, all pluralities of BIN features, and all true interchange codes associated with the historical transactions set; training a random forest model using the first training set and generating a second training set including rounded BIN features, rounded transaction features, discrete ones of the transaction features, and the true interchange codes; training the random forest model using the second training set to generate a trained random forest model for prediction of the interchange codes; and executing the trained random forest model for new transactions to generate corres
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: May 14, 2024
    Assignee: Toast, Inc.
    Inventors: Martin Kressirer, Binghuan Zhang, Alan Z. Zhao
  • Low latency bank card type prediction system for estimation of interchange codes during transaction processing
    Patent number: 11775969
    Abstract: A computer-implemented method for predicting interchange charges includes: retrieving a historical transactions set, where each completed transaction in the set includes transaction features, a bank identification number (BIN), and a corresponding true interchange code; transforming all BINs in the set into a corresponding plurality of BIN features that comprise probabilities; creating a first training set including all transaction features, all pluralities of BIN features, and all true interchange codes associated with the historical transactions set; training a random forest model using the first training set and generating a second training set including rounded BIN features, rounded transaction features, discrete ones of the transaction features, and the true interchange codes; training the random forest model using the second training set to generate a trained random forest model for prediction of the interchange codes; and executing the trained random forest model for new transactions to generate corres
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: October 3, 2023
    Assignee: Toast, Inc.
    Inventors: Martin Kressirer, Binghuan Zhang, Alan Z. Zhao
  • OPTIMIZED INTERCHANGE CODE PREDICTION SYSTEM FOR PROCESSING CREDIT CARD TRANSACTIONS
    Publication number: 20220318832
    Abstract: A computer-implemented method for predicting interchange charges includes: retrieving a historical transactions set, where each completed transaction in the set includes transaction features, a bank identification number (BIN), and a corresponding true interchange code; transforming all BINs in the set into a corresponding plurality of BIN features that comprise probabilities; creating a first training set including all transaction features, all pluralities of BIN features, and all true interchange codes associated with the historical transactions set; training a random forest model using the first training set and generating a second training set including rounded BIN features, rounded transaction features, discrete ones of the transaction features, and the true interchange codes; training the random forest model using the second training set to generate a trained random forest model for prediction of the interchange codes; and executing the trained random forest model for new transactions to generate corres
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Applicant: Toast, Inc.
    Inventors: Martin Kressirer, Binghuan Zhang, Alan Z. Zhao
  • LOW LATENCY BANK CARD TYPE PREDICTION SYSTEM FOR ESTIMATION OF INTERCHANGE CODES DURING TRANSACTION PROCESSING
    Publication number: 20220318792
    Abstract: A computer-implemented method for predicting interchange charges includes: retrieving a historical transactions set, where each completed transaction in the set includes transaction features, a bank identification number (BIN), and a corresponding true interchange code; transforming all BINs in the set into a corresponding plurality of BIN features that comprise probabilities; creating a first training set including all transaction features, all pluralities of BIN features, and all true interchange codes associated with the historical transactions set; training a random forest model using the first training set and generating a second training set including rounded BIN features, rounded transaction features, discrete ones of the transaction features, and the true interchange codes; training the random forest model using the second training set to generate a trained random forest model for prediction of the interchange codes; and executing the trained random forest model for new transactions to generate corres
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Applicant: Toast, Inc.
    Inventors: Martin Kressirer, Binghuan Zhang, Alan Z. Zhao