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Lin Tao Phones & Addresses

  • San Jose, CA
  • Santa Clara, CA
  • Sunnyvale, CA

Publications

Us Patents

Comparative Features For Machine Learning Based Classification

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US Patent:
20220414663, Dec 29, 2022
Filed:
Jun 28, 2021
Appl. No.:
17/360878
Inventors:
- Mountain View CA, US
Linhong Kang - Sunnyvale CA, US
Andreas Mavrommatis - Edmonton, CA
Lin Tao - Fremont CA, US
Chenxu Yang - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 20/40
G06Q 20/02
G06N 20/00
G06K 9/62
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.

Feature Pruning And Algorithm Selection For Machine Learning

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US Patent:
20220351087, Nov 3, 2022
Filed:
Apr 28, 2021
Appl. No.:
17/243547
Inventors:
- Mountain View CA, US
Lin Tao - Fremont CA, US
Jianxiang Chang - Mountain View CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06N 20/20
G06N 5/04
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.

Using Machine Learning For Detecting Solicitation Of Personally Identifiable Information (Pii)

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US Patent:
20220272124, Aug 25, 2022
Filed:
Feb 19, 2021
Appl. No.:
17/179799
Inventors:
- Mountain View CA, US
Lin Tao - Fremont CA, US
Sara Julia Katarina Slama - Albany CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
H04L 29/06
G06N 3/08
G06N 3/04
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.

Large Pose Facial Recognition Based On 3D Facial Model

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US Patent:
20230102682, Mar 30, 2023
Filed:
Sep 30, 2021
Appl. No.:
17/490791
Inventors:
- Mountain View CA, US
Lin Tao - Campbell CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06T 7/73
G06F 3/01
G06K 9/00
G06F 21/32
G06N 20/00
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.

Utterance Intent Detection

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US Patent:
20230030870, Feb 2, 2023
Filed:
Jul 30, 2021
Appl. No.:
17/389701
Inventors:
- Mountain View CA, US
Lin TAO - Fremont CA, US
Yingxin WANG - Newark CA, US
International Classification:
G06F 40/30
G06F 40/44
G06F 16/33
G06F 16/338
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.
Lin Tao from San Jose, CA, age ~56 Get Report