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Mingyang Xu

from Kenmore, WA
Age ~33
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Related to:
Xuejin WangXinhong Chen, 61Xu Dong Wang, 53Qing Chen, 39Xueling Cheng, 61Lin RuHao Liu, 44Jin B Lin, 47
Connected to:
Ailan Xu, 56Aimin Xu, 47Alison Xu, 30Amelia Xu, 37Amy J Xu, 39Angelina S Xu, 38Anthony X Xu, 58Beilei Xu, 54Benjamin Xu, 42Bingjun Xu, 42

Mingyang Xu Phones & Addresses

  • Kenmore, WA
  • Bellevue, WA
  • San Diego, CA
  • Chandler, AZ
  • Raleigh, NC
  • Warren, MI
  • Detroit, MI
  • Southfield, MI

Education

Degree: Masters, Master of Laws School / High School: The George Washington University 2011 to 2012 Specialities: Business, Law, Finance

Skills

International Law • Contract Negotiation • Legal Research • Litigation • Intellectual Property • Research • Microsoft Office • Westlaw

Resumes

Resumes

Mingyang Xu Photo 1

Mingyang Xu

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Education:
The George Washington University 2011 - 2012
Masters, Master of Laws, Business, Law, Finance
Skills:
International Law
Contract Negotiation
Legal Research
Litigation
Intellectual Property
Research
Microsoft Office
Westlaw

Publications

Us Patents

Hybrid Rule-Based And Machine Learning Predictions

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US Patent:
20200311601, Oct 1, 2020
Filed:
Mar 29, 2019
Appl. No.:
16/370115
Inventors:
- Minnetonka MN, US
Ellyn J. Oliver - San Diego CA, US
Rebecca J. Myhre - San Diego CA, US
Mingyang Xu - San Diego CA, US
International Classification:
G06N 20/00
G06N 3/04
G06N 3/08
Abstract:
A computer-implemented method for generating a predictive output based on a predictive input includes generating a plurality of rule-based prediction scores by executing one or more prediction rules on the prediction input, wherein each prediction rule of the one or more prediction rules is associated with a rule condition and one or more predictive weights, each predictive weight of the one or more predictive weights is associated with a related prediction category of a plurality of prediction categories, and each prediction category of the plurality of prediction categories is associated with a rule-based prediction score; determining a rule-based prediction output based at least in part on the plurality of rule-based prediction scores; and providing the plurality of rule-based prediction scores and the rule-based prediction output to a machine learning engine, wherein the machine learning engine is configured to generate a machine-learning based prediction output based at least in part on the plurality of rule-based prediction scores and the rule-based prediction output.

Palm Vein-Based Low-Cost Mobile Identification System For A Wide Age Range

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US Patent:
20170109563, Apr 20, 2017
Filed:
Oct 14, 2016
Appl. No.:
15/293798
Inventors:
- Detroit MI, US
Weisong SHI - Troy MI, US
Jie CAO - Royal Oak MI, US
Zhifeng YU - Oakland MI, US
Mingyang XU - Raleigh NC, US
International Classification:
G06K 9/00
G06F 19/00
G06T 7/00
G06K 9/46
H04N 5/33
G06K 9/20
Abstract:
A system includes an infrared camera, an infrared light source, and a processor. The processor is programmed to receive, from the infrared camera, an image of a hand illuminated using the infrared light source, and send the image to a remote server to identify a user corresponding to the hand according to a vein pattern of the hand. An image of a hand illuminated using an infrared light source is received from an infrared camera. Region-of-interest segmentation is performed on the image to generate a segmented image of consistent hand location and orientation. Feature extraction is performed on the segmented image to generate a feature-extracted vein image. Matching of the feature-extracted vein image is performed against a database of feature-extracted vein images to identify a user identity corresponding to the hand.
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Mingyang Xu from Kenmore, WA, age ~33 Get Report