Hao Feng, Age 603933 Carracci Ln, San Jose, CA 95135

Hao Feng Phones & Addresses

3933 Carracci Ln, San Jose, CA 95135

1788 Wayne Ave, San Jose, CA 95131 (408) 432-9289

Bedford, MA

902 Rockefeller Dr, Sunnyvale, CA 94087

309 16Th St, Gainesville, FL 32601 (352) 375-8113

Santa Clara, CA

Work

Company: Amazon.com inc - Seattle, WA Jun 2013 Position: Software development engineer intern

Education

School / High School: Hunan University Jun 2007 Specialities: M. Sc. in Computational Mathematics

Mentions for Hao Feng

Career records & work history

Medicine Doctors

Hao Feng

Specialties:
Internal Medicine
Work:
NYU Langone Graduate Medical Program
550 1 Ave, New York, NY 10016
(212) 263-5506 (phone) (212) 263-7002 (fax)
Education:
Medical School
Yale University School of Medicine
Graduated: 2014
Languages:
English
Description:
Dr. Feng graduated from the Yale University School of Medicine in 2014. He works in New York, NY and specializes in Internal Medicine.

Hao Feng resumes & CV records

Resumes

Hao Feng Photo 35

Fae, Marketing

Location:
Berkeley, CA
Industry:
Electrical/Electronic Manufacturing
Work:
Eudyna Devices Usa Inc. 2000 - 2009
Manager Application
Sumitomo Electric Industries, Ltd. 2000 - 2009
Fae, Marketing
Skills:
Marketing, Manufacturing
Hao Feng Photo 36

Hao Feng - Newark, DE

Work:
Amazon.com Inc - Seattle, WA Jun 2013 to Sep 2013
Software Development Engineer Intern
Broadcom Corp - Sunnyvale, CA Jun 2012 to Sep 2012
System Engineer Intern
Hunan University Jul 2006 to Aug 2006
Part-time Software Development Engineer
Education:
Hunan University Jun 2007
M. Sc. in Computational Mathematics
Hunan University Jun 2004
B. Sc in Applied Mathematics
University of Delaware - Newark, DE
Ph. D. in Electrical and Computer Engineering

Publications & IP owners

Us Patents

Evaluating Visual Quality Of Digital Content

US Patent:
2022035, Nov 10, 2022
Filed:
Aug 6, 2020
Appl. No.:
17/760535
Inventors:
- Mountain View CA, US
Luying Li - Sunnyvale CA, US
Feng Yang - Sunnyvale CA, US
Junjie Ke - East Palo Alto CA, US
Xiyang Luo - Mountain View CA, US
Hao Feng - Sunnyvale CA, US
Chao-Hung Chen - Milpitas CA, US
Wenjing Kang - Santa Clara CA, US
Zheng Xia - Palo Alto CA, US
Yicong Tian - Mountain View CA, US
Xia Li - Sunnyvale CA, US
Han Ke - Sunnyvale CA, US
International Classification:
G06Q 30/02
Abstract:
Systems, devices, methods, and computer readable medium for evaluating visual quality of digital content are disclosed. Methods can include identifying content assets including one or more images that are combined to create different digital components distributed to one or more client devices. A quality of each of the one or more images is evaluated using one or more machine learning models trained to evaluate one or more visual aspects that are deemed indicative of visual quality. An aggregate quality for the content assets is determined based, at least in part, on an output of the one or more machine learning models indicating the visual quality of each of the one or more images. A graphical user interface of a first computing device is updated to present a visual indication of the aggregate quality of the content assets.

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