Search

Richard W Zhang

from Clackamas, OR
Age ~54
Get Report
Also known as:
Wensheng Zhang, Wen Sheng Zhang, Richard W Chang
Related to:
Yi Zhang, 54Shizhong Zhang, 54Zhi Feng ZhangYun Zhang, 45Yiqing Zhang, 52Han ZhangWen H Zhang, 56Rose W Zhang, 46Xu ZhangXiao Ling Zhang
Connected to:
Aaron N Zhang, 60Adelaide X Zhang, 48Aiai Zhang, 38Aijun Zhang, 70Airong Zhang, 71Alfred Zhang, 30Anderson Zhang, 33Angeline Zhang, 36Anli Zhang, 68Anming Zhang, 64

Richard Zhang Phones & Addresses

  • Clackamas, OR
  • Portland, OR
  • Beaverton, OR
  • Danville, CA
  • Pasadena, CA
  • Hillsborough, CA
  • San Francisco, CA

Work

Company: Comba-telecom Jul 2010 Position: Application engineer

Education

School / High School: University of California- Berkeley, CA Aug 2006

Professional Records

Medicine Doctors

Richard Zhang Photo 1

Richard W. Zhang

View page
Specialties:
Physical Medicine & Rehabilitation
Work:
VA West Los Angeles Healthcare Pain Medicine & Rehabilitation
11301 Wilshire Blvd BLDG 500 STE 1415, Los Angeles, CA 90073
(310) 268-3337 (phone)
Languages:
English
Description:
Dr. Zhang works in Los Angeles, CA and specializes in Physical Medicine & Rehabilitation.

Resumes

Resumes

Richard Zhang Photo 2

Richard Zhang San Jose, CA

View page
Work:
Comba-Telecom

Jul 2010 to 2000
Application Engineer
Comba-Telecom
San Francisco, CA
Jun 2011 to Jan 2012
Graphics Designer
Haas Web Team
Berkeley, CA
Apr 2007 to Sep 2008
web team assistant
Magnus Health Technologies
Raleigh, NC
Jun 2008 to Jul 2008
Worked full time internship

Business Records

Name / Title
Company / Classification
Phones & Addresses
Richard Yi Zhang
President
ACCURUS BIOSCIENCES
Business Services at Non-Commercial Site · Nonclassifiable Establishments
5162 Montiano Ln, Dublin, CA 94568
541 Driscoll Pl, Palo Alto, CA 94306
Richard X. Zhang
President
GLOBAL GATEWAY TRADE INC
Whol Nondurable Goods
4140 Cortona Ct, Yorba Linda, CA 92886
263 Singingwood Ln, Brea, CA 92821
Richard Zhang
Principal
Soyodo LLC
Wholesale · Ret Books
1245 Mtn Vw Alviso Rd, Sunnyvale, CA 94089
Richard X. Zhang
Principal
NORTH-EAST OVERSEAS CHINESE FRIENDSHIP ASSOCIATION USA
Eating Place · Nonclassifiable Establishments
18472 E Colima Rd #210, Rowland Heights, CA 91748
18472 Colima Rd, Whittier, CA 91748
807 W Camino Real Ave, Arcadia, CA 91007

Publications

Us Patents

Automatic Object Re-Colorization

View page
US Patent:
20220237830, Jul 28, 2022
Filed:
Jan 22, 2021
Appl. No.:
17/155570
Inventors:
- San Jose CA, US
Zhe LIN - Fremont CA, US
Shabnam GHADAR - Menlo Park CA, US
Richard ZHANG - San Francisco CA, US
Baldo FAIETA - San Francisco CA, US
International Classification:
G06T 11/00
G06T 7/90
G06N 3/04
G06N 3/08
Abstract:
Embodiments are disclosed for automatic object re-colorization in images. In some embodiments, a method of automatic object re-colorization includes receiving a request to recolor an object in an image, the request including an object identifier and a color identifier, identifying an object in the image associated with the object identifier, generating a mask corresponding to the object in the image, providing the image, the mask, and the color identifier to a color transformer network, the color transformer network trained to recolor objects in input images, and generating, by the color transformer network, a recolored image, wherein the object in the recolored image has been recolored to a color corresponding to the color identifier

Generating Modified Digital Images Utilizing A Global And Spatial Autoencoder

View page
US Patent:
20230102055, Mar 30, 2023
Filed:
Nov 22, 2022
Appl. No.:
18/058163
Inventors:
- San Jose CA, US
Richard Zhang - San Francisco CA, US
Oliver Wang - Seattle WA, US
Junyan Zhu - Cambridge MA, US
Jingwan Lu - Santa Clara CA, US
Elya Shechtman - Seattle WA, US
Alexei A. Efros - Berkley CA, US
International Classification:
G06T 9/00
G06T 3/40
G06N 3/08
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified digital image from extracted spatial and global codes. For example, the disclosed systems can utilize a global and spatial autoencoder to extract spatial codes and global codes from digital images. The disclosed systems can further utilize the global and spatial autoencoder to generate a modified digital image by combining extracted spatial and global codes in various ways for various applications such as style swapping, style blending, and attribute editing.

Generating Colorized Digital Images Utilizing A Re-Colorization Neural Network With Local Hints

View page
US Patent:
20230055204, Feb 23, 2023
Filed:
Aug 18, 2021
Appl. No.:
17/405207
Inventors:
- San Jose CA, US
Ionut Mironica - Bucharest, RO
Richard Zhang - San Francisco CA, US
International Classification:
G06T 11/00
G06N 3/04
Abstract:
This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize one or more stages of a two-stage image colorization neural network to colorize or re-colorize digital images. In one or more embodiments, the disclosed system generates a color digital image from a grayscale digital image by utilizing a colorization neural network. Additionally, the disclosed system receives one or more inputs indicating local hints comprising one or more color selections to apply to one or more objects of the color digital image. The disclosed system then utilizes a re-colorization neural network to generate a modified digital image from the color digital image by modifying one or more colors of the object(s) based on the luminance channel, color channels, and selected color(s).

Generating Modified Digital Images Utilizing A Global And Spatial Autoencoder

View page
US Patent:
20210358177, Nov 18, 2021
Filed:
May 14, 2020
Appl. No.:
16/874399
Inventors:
- San Jose CA, US
Richard Zhang - San Francisco CA, US
Oliver Wang - Seattle WA, US
Junyan Zhu - Cambridge MA, US
Jingwan Lu - Santa Clara CA, US
Elya Shechtman - Seattle WA, US
Alexei A Efros - Berkley CA, US
International Classification:
G06T 9/00
G06T 3/40
G06N 3/08
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified digital image from extracted spatial and global codes. For example, the disclosed systems can utilize a global and spatial autoencoder to extract spatial codes and global codes from digital images. The disclosed systems can further utilize the global and spatial autoencoder to generate a modified digital image by combining extracted spatial and global codes in various ways for various applications such as style swapping, style blending, and attribute editing.

Generating Shift-Invariant Neural Network Feature Maps And Outputs

View page
US Patent:
20210334531, Oct 28, 2021
Filed:
May 21, 2021
Appl. No.:
17/327088
Inventors:
- San Jose CA, US
Richard Zhang - Berkeley CA, US
International Classification:
G06K 9/00
G06N 3/08
G06N 20/10
G06T 5/00
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating shift-resilient neural network outputs based on utilizing a dense pooling layer, a low-pass filter layer, and a downsampling layer of a neural network. For example, the disclosed systems can generate a pooled feature map utilizing a dense pooling layer to densely pool feature values extracted from an input. The disclosed systems can further apply a low-pass filter to the pooled feature map to generate a shift-adaptive feature map. In addition, the disclosed systems can downsample the shift-adaptive feature map utilizing a downsampling layer. Based on the downsampled, shift-adaptive feature map, the disclosed systems can generate shift-resilient neural network outputs such as digital image classifications.

Novel Cldn 18.2-Specific Monoclonal Antibodies And Methods Of Use Thereof

View page
US Patent:
20210214433, Jul 15, 2021
Filed:
Jul 24, 2019
Appl. No.:
17/262351
Inventors:
- Richmond CA, US
Richard Zhang - Richmond CA, US
Assignee:
ACCURUS BIOSCIENCES, INC. - Richmond CA
International Classification:
C07K 16/28
C07K 14/705
C07K 14/725
G01N 33/68
A61K 47/68
Abstract:
Provided herein are novel anti-CLDN 18.2 antibodies and chimeric antigen receptors (CAR), cells or compositions comprising the same, vector or plasmid encoding anti-CLDN 18.2 CAR, anti-CLDN 18.2 antibody-drug conjugates (ADCs), bispecific antibodies containing anti-CLDN 18.2 antibody, and methods for producing the same, or using the same for detecting or treating ovarian cancer or prostate cancer. Also provided herein are anti-CLDN 18.2 antibody, compositions comprising the same, nucleic acid sequence encoding the same, and a kit for detecting CLDN 18.2.

Generating Shift-Invariant Neural Network Outputs

View page
US Patent:
20200242353, Jul 30, 2020
Filed:
Jan 28, 2019
Appl. No.:
16/258994
Inventors:
- San Jose CA, US
Richard Zhang - Berkeley CA, US
International Classification:
G06K 9/00
G06N 3/08
G06T 5/00
G06N 20/10
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating shift-resilient neural network outputs based on utilizing a dense pooling layer, a low-pass filter layer, and a downsampling layer of a neural network. For example, the disclosed systems can generate a pooled feature map utilizing a dense pooling layer to densely pool feature values extracted from an input. The disclosed systems can further apply a low-pass filter to the pooled feature map to generate a shift-adaptive feature map. In addition, the disclosed systems can downsample the shift-adaptive feature map utilizing a downsampling layer. Based on the downsampled, shift-adaptive feature map, the disclosed systems can generate shift-resilient neural network outputs such as digital image classifications.
Control profile
Richard W Zhang from Clackamas, OR, age ~54 Get Report