Yuan L Li

US Patent:

20180260759, Sep 13, 2018

Filed:

Mar 7, 2018

Appl. No.:

15/914416

Inventors:

- Seattle WA, US
Daryn Edward Nakhuda - Bainbridge Island WA, US
Angela Beth Hugeback - Bainbridge Island WA, US
Yuan Li - Bellevue WA, US
Peter VanTuyl Bentley - Seattle WA, US
Joseph Delovino Sunga - Seattle WA, US
Aaron Matthew Hedquist - Seattle WA, US
Matthew Cameron Herz - Seattle WA, US

International Classification:

G06Q 10/06
G06T 7/10

Abstract:

Disclosed is a configuration for segmenting an image. For each user, the configuration computes an accuracy and contribution score. The configuration determines multiple tasks for segmenting an image. For each task, the configuration assigns a particular user to work on a task based on an accuracy or a contribution score of the particular user, receives an indication of a completed task from the particular user, and assesses an accuracy of the completed task based on the accuracy of the particular user. Responsive to determining all multiple tasks are completed accurately, the configuration combines the completed multiple tasks to form a segmented image.

US Patent:

20170373958, Dec 28, 2017

Filed:

Jun 27, 2016

Appl. No.:

15/193113

Inventors:

- Redmond WA, US
Yuan Li - Sammamish WA, US

International Classification:

H04L 12/26
H04L 29/08
H04L 29/06

Abstract:

Aspects extend to methods, systems, and computer program products for orchestrating operations at applications. Aspects of the invention use a side channel (instrumentation messages generated by a service) as a mechanism to discover when a service has completed an activity. Use of a side channel, allows a (e.g., client) application to create behaviors similar to service side interfaces and/or protocols without modifying a service. Accordingly, functionality can be added incrementally, safely, and cheaply without having to revise an underlying implementation. In one aspect, an instrumentation collector and publisher (ICP) facilitates the synchronization between services and an application. ICP is a scalable infrastructure that provides applications a way to interact with servers through instrumentation.

US Patent:

20170323211, Nov 9, 2017

Filed:

May 5, 2017

Appl. No.:

15/588478

Inventors:

- Seattle WA, US
Angela Beth Hugeback - Bainbridge Island WA, US
Yuan Li - Bellevue WA, US
Daryn Edward Nakhuda - Bainbridge Island WA, US
Patrick Emmett O'Donnell - Seattle WA, US
Matthew Newman Shobe - Mercer Island WA, US

International Classification:

G06N 5/04
G06Q 10/06

Abstract:

Disclosed is a system (and process) for determining the accuracy of computerized tasks in a task batch. The system calculates a number of reviews to assess the accuracy of a task based on a source accuracy and a reviewer accuracy. The source accuracy is based factors calculated by a predictive model, the factors including a historical accuracy of an authoring user. The reviewer accuracy is based on a true positive rate and a true negative rate of one or more reviewers of the task batch. The system transmits sourced tasks to a same number of reviewers. The system collects reviews and assesses if the task passes review based on the collected number of reviews.

US Patent:

20170323233, Nov 9, 2017

Filed:

Jul 25, 2016

Appl. No.:

15/219035

Inventors:

- Seattle WA, US
Angela Beth Hugeback - Seattle WA, US
Yuan Li - Bellevue WA, US
Daryn Edward Nakhuda - Bainbridge Island WA, US
Patrick Emmett O'Donnell - Seattle WA, US
Matthew Newman Shobe - Mercer Island WA, US

International Classification:

G06Q 10/06
H04L 29/08
G06N 99/00

Abstract:

Disclosed is a tasking system to assign individuals to tasks. The tasking system targets a user for the task based information in a user profile such as demographics, background and reputation of the user to perform a task. The tasking system predicts if a user will do a given task well based on a user's background, user's skill, and applied predictive algorithms. The tasking system manages the workflow of the task, assesses the probability of the user's answer being accurate, and continuously optimizes assignment and assessment of the task to improve data quality.