Ling Lai Shen

age ~73

from Chino, CA

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Also known as:

Ling L Shen
Amy L Shen
Amy Ling Shen
Lai Shen Ling
Amy L Shea
Amy L Shien

Phone and address:: 7987 Meridian St, Chino, CA 91708
6265895527

Connected to:

Ling Shen Phones & Addresses

7987 Meridian St, Chino, CA 91708 • 6265895527
Rowland Heights, CA
Canoga Park, CA
Van Nuys, CA
3536 Dartmouth Ln, Rowland Heights, CA 91748
La Puente, CA
1850 Batson Ave APT 16, Rowland Heights, CA 91748

Resumes

Ling Shen

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Position:

Engineer at Siemens Corporation, Corporate Technology

Location:

United States

Industry:

Industrial Automation

Work:

Siemens Corporation, Corporate Technology since Nov 1998
Engineer
Siemens Corporate Research 2009 - 2011
Software Engineer
Nanjing University Aug 1987 - May 1992
Instructor in Mathematics Department

Education:

Masters in Applied Mathematics, Nanjing University 1981 - 1984
Master of Arts, Partial Differential Equations

Ling Shen

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Location:

United States

Director At Spain

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Location:

United States

Industry:

Electrical/Electronic Manufacturing

Research Analyst At Milken Institute

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Location:

Greater Los Angeles Area

Industry:

Think Tanks

Ling Shen

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Location:

United States

Ling Shen

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Ling Shen

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Name / Title

Company / Classification

Phones & Addresses

Ling Shen
Owner

Shen Ling Dnd
Dentist's Office

620 N Diamond Bar Blvd, Pomona, CA 91765
9098605100

Ling Charlene Shen

All Star Academy, LLC
After School Child Care - Tutoring

722 W 223 St, Torrance, CA 90502

Us Patents

Big Automation Code
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US Patent:

20220198269, Jun 23, 2022
Filed:

Feb 5, 2019
Appl. No.:

17/425990
Inventors:

- Munich, DE
Palash Goyal - Los Angeles CA, US
Jason Vandeventer - Charlotte NC, US
Ling Shen - Cherry Hill NJ, US
International Classification:

G06N 3/08
G06F 8/30
G06F 8/41
Abstract:

A system and method to apply deep learning techniques to an automation engineering environment are provided. Big code files and automation coding files are retrieved by the system from public repositories and private sources, respectively. The big code files include examples general software structure examples to be utilized by the method and system to train advanced automation engineering software. The system represents the coding files in a common space as embedded graphs which a neural network of the system uses to learn patterns. Based on the learning, the system can predict patterns in the automation coding files. From the predicted patterns executable automation code may be created to augment the existing automation coding files.