Patents by Inventor Shukun XIE

Shukun XIE 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).

  • Patent number: 11734353
    Abstract: The present disclosure provides multi-sampling model training methods and devices. One exemplary training method includes: performing multi-sampling on samples to obtain a training set and a validation set in each sampling; using the training set and the validation set obtained in each sampling as a group, and performing model training and obtaining a trained model using the training set in each group; evaluating the trained model using the training set and the validation set in each group separately; eliminating or retaining the trained model based on the evaluation results and a predetermined elimination criterion; obtaining prediction results of the samples using retained models; and obtaining a final model by performing combined model training on the retained models using the prediction results. The final model obtained using embodiments of the present disclosure can be more robust and stable, and can provide more accurate prediction results, thus greatly improving efficiency of modeling.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: August 22, 2023
    Assignee: Alibaba Group Holding Limited
    Inventors: Ke Zhang, Wei Chu, Xing Shi, Shukun Xie, Feng Xie
  • Publication number: 20180374098
    Abstract: There is provided a modeling method and device for a machine learning model. A machine learning sub-model corresponding to each intermediate target variable is trained to obtain a probability value of the machine learning sub-model. The probability values of the machine learning sub-models are summed to obtain a target probability value. A target machine learning model for determining a target behavior is established according to the target probability value and feature variables for describing transaction behaviors.
    Type: Application
    Filed: August 17, 2018
    Publication date: December 27, 2018
    Inventors: Ke ZHANG, Wel CHU, Xing SHI, Shukun XIE, Feng XIE
  • Publication number: 20180365525
    Abstract: The present disclosure provides multi-sampling model training methods and devices. One exemplary training method includes: performing multi-sampling on samples to obtain a training set and a validation set in each sampling; using the training set and the validation set obtained in each sampling as a group, and performing model training and obtaining a trained model using the training set in each group; evaluating the trained model using the training set and the validation set in each group separately; eliminating or retaining the trained model based on the evaluation results and a predetermined elimination criterion; obtaining prediction results of the samples using retained models; and obtaining a final model by performing combined model training on the retained models using the prediction results. The final model obtained using embodiments of the present disclosure can be more robust and stable, and can provide more accurate prediction results, thus greatly improving efficiency of modeling.
    Type: Application
    Filed: August 24, 2018
    Publication date: December 20, 2018
    Inventors: Ke ZHANG, Wei CHU, Xing SHI, Shukun XIE, Feng XIE