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公开(公告)号：US12080028B2
公开(公告)日：2024-09-03
申请号：US17490791
申请日：2021-09-30
Applicant: Intuit Inc.
Inventor： Jianxiang Chang , Lin Tao
CPC classification number: G06T7/75 , G06F3/017 , G06F21/32 , G06N20/00 , G06V40/172
Abstract: A method including generating a captured facial object and a captured pose from a captured image. The method also includes obtaining a base facial object and a base pose from a base image. The method also includes generating base pose angles using the captured pose, and captured pose angles using the captured pose. The method also includes obtaining selected base images using the base pose angles and the base facial object. The method also includes generating selected captured images using the captured pose angles and the captured facial object. The method also includes comparing the selected base images to the selected captured images to establish a comparison. The method also includes outputting a match output using the comparison.
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公开(公告)号：US12182515B2
公开(公告)日：2024-12-31
申请号：US17389701
申请日：2021-07-30
Applicant: INTUIT INC.
Inventor： Yan Qu , Lin Tao , Yingxin Wang
IPC: G06F40/30 , G06F16/33 , G06F16/338 , G06F40/44 , G06N3/045 , G06N3/0475 , G06N3/08
Abstract: Certain aspects of the present disclosure provide techniques for detecting sentences that are utterances by an agent indicating an intent to poach a customer. According to certain embodiments, a language model is trained using query sentences that are confirmed to be sentences used in poaching a customer, to identify semantically similar sentences in a corpus. These semantically similar sentences are then used as base sentences for comparison to sentences in a transcript. Sentences of the transcript that are found to be semantically similar to one or more base sentences are provided to a user device for review and confirmation that the similar sentence was generated by an agent in an attempt to poach a customer.
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3.发明申请公开(公告)号：US20220272124A1
公开(公告)日：2022-08-25
申请号：US17179799
申请日：2021-02-19
Applicant: Intuit Inc.
Inventor： Pawel Piotr Zawadzki , Lin Tao , Sara Julia Katarina Slama
Abstract: Systems and methods for identifying solicitations of personally identifiable information (PII) are disclosed. An example method includes generating training data based on historical transcript data corresponding to solicitations of PII in historical support call transcripts, training a neural network, using the training data, to identify solicitations of PII in support call transcripts, and processing the trained neural network for deployment.
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公开(公告)号：US20250110948A1
公开(公告)日：2025-04-03
申请号：US18375234
申请日：2023-09-29
Applicant: Intuit Inc.
Inventor： Tin Nguyen , Sayan Paul , Lin Tao
IPC: G06F16/242 , G06F16/28
Abstract: Systems and methods are disclosed for converting natural language queries to a query instruction set for searching a data warehouse. To generate a query instruction set from a natural language query, a system iteratively uses a generative artificial intelligence (AI) model and database query tools to generate a query instruction set in a stepwise manner. The system and generative AI model do not require a priori knowledge of data table contents in the data warehouse, which may include sensitive information. In addition, the system does not require access to the data warehouse to generate the query instruction set. Instead, the system is implemented to use structure information from the data warehouse, including table lists (such as table names) and table format information (such as column names) of tables in the data warehouse, and the generative AI model is a generally trained model to generate the query instruction set.
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公开(公告)号：US20220414663A1
公开(公告)日：2022-12-29
申请号：US17360878
申请日：2021-06-28
Applicant: Intuit Inc.
Inventor： Peter C. Anthony , Linhong Kang , Andreas Mavrommatis , Lin Tao , Chenxu Yang
Abstract: Systems and methods for generating one or more comparative features for machine learning based classification are disclosed. A system may be configured to obtain time series data and forecast one or more predicted values based on the time series data. The system may also be configured, for each predicted value of the one or more predicted values, to compare an actual value of the time series data to the predicted value and generate a comparative value of a comparative feature based on the comparison. The comparative feature is to be provided to a machine learning model for a classification task associated with the time series data. The classification task may include determining whether one or more data values in the time series data is fraudulent based on the comparative feature.
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Patent Agency Ranking
公开(公告)号：US20220351087A1
公开(公告)日：2022-11-03
申请号：US17243547
申请日：2021-04-28
Applicant: Intuit Inc.
Inventor： Hao Zheng , Lin Tao , Jianxiang Chang
Abstract: This disclosure provides systems, methods and apparatuses for machine learning. In some implementations, a pre-processing system may identify one or more special features in an input dataset and may generate one or more pruned datasets, respectively, based on the identified special features. The pre-processing system maps each of the pruned datasets to one or more predictions and selectively removes the values associated with one or more special features from the input dataset based on the mapping. In some other implementations, a pre-processing system may map each of the feature sets in an input dataset to multiple predictions in accordance with multiple machine learning algorithms. The pre-processing system evaluates a performance of each of the mappings and selects one of the machine learning algorithms to be used to train the machine learning model based on the performance of each mapping.
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公开(公告)号：US12099539B2
公开(公告)日：2024-09-24
申请号：US17647607
申请日：2022-01-11
Applicant: INTUIT INC.
Inventor： Krysten Nicole Dell , Jason Heckendorn , Lin Tao , Yingxin Wang
CPC classification number: G06F16/35 , G06F16/345 , G06N7/01 , G06N20/00
Abstract: Aspects of the present disclosure provide techniques for improved text classification. Embodiments include providing, based on a text string, one or more first inputs to a summary model. Embodiments include determining, based on one or more first outputs from the summary model in response to the one or more first inputs, a summarized version of the text string. In some embodiments the summarized version of the text string comprises a number of tokens that is less than or equal to a maximum number of input tokens for a machine learning model. Embodiments include providing, based on the summarized version of the text string, one or more second inputs to the machine learning model. Embodiments include determining one or more attributes of the text string based on one or more second outputs received from the machine learning model in response to the one or more second inputs.
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公开(公告)号：US20230102682A1
公开(公告)日：2023-03-30
申请号：US17490791
申请日：2021-09-30
Applicant: Intuit Inc.
Inventor： Jianxiang Chang , Lin Tao
Abstract: A method including generating a captured facial object and a captured pose from a captured image. The method also includes obtaining a base facial object and a base pose from a base image. The method also includes generating base pose angles using the captured pose, and captured pose angles using the captured pose. The method also includes obtaining selected base images using the base pose angles and the base facial object. The method also includes generating selected captured images using the captured pose angles and the captured facial object. The method also includes comparing the selected base images to the selected captured images to establish a comparison. The method also includes outputting a match output using the comparison.
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公开(公告)号：US12147884B2
公开(公告)日：2024-11-19
申请号：US17243547
申请日：2021-04-28
Applicant: Intuit Inc.
Inventor： Hao Zheng , Lin Tao , Jianxiang Chang
Abstract: This disclosure provides systems, methods and apparatuses for machine learning. In some implementations, a pre-processing system may identify one or more special features in an input dataset and may generate one or more pruned datasets, respectively, based on the identified special features. The pre-processing system maps each of the pruned datasets to one or more predictions and selectively removes the values associated with one or more special features from the input dataset based on the mapping. In some other implementations, a pre-processing system may map each of the feature sets in an input dataset to multiple predictions in accordance with multiple machine learning algorithms. The pre-processing system evaluates a performance of each of the mappings and selects one of the machine learning algorithms to be used to train the machine learning model based on the performance of each mapping.
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公开(公告)号：US20230273982A1
公开(公告)日：2023-08-31
申请号：US17683186
申请日：2022-02-28
Applicant: Intuit Inc.
Inventor： Andreas Petros Mavrommatis , Lin Tao , Hao Zheng
CPC classification number: G06F21/316 , G06N20/20
Abstract: A method includes extracting attribute values of attributes from login events, filtering the attribute values based on correlation between the attributes and classes to obtain filtered attributes values, and generating a vector embedding of the filtered attributes values to obtain login vectors. The method further includes executing a sequential machine learning model on the login vectors to determine a class of the classes, and outputting the class.
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