BackgroundCheck.run
Search For

Rui M Chen, 539705 Royal Crest Cir, Frederick, MD 21704

Rui Chen Phones & Addresses

9705 Royal Crest Cir, Frederick, MD 21704   

2106 Whitehall Rd, Frederick, MD 21702   

Jefferson, MD   

Milpitas, CA   

Lafayette, IN   

Sunnyvale, CA   

231 Dixon Landing Rd APT 276, Milpitas, CA 95035   

Mentions for Rui M Chen

Career records & work history

Medicine Doctors

Rui Chen

Specialties:
Endocrinology, Diabetes & Metabolism
Work:
Baylor College Of Medicine Endocrinology
1 Baylor Plz, Houston, TX 77030
713-7980144 (phone) 713-7980223 (fax)
Education:
Medical School
Indiana University School of Medicine
Graduated: 2012
Languages:
English, Spanish
Description:
Dr. Chen graduated from the Indiana University School of Medicine in 2012. He works in Houston, TX and specializes in Endocrinology, Diabetes & Metabolism.

Rui Chen resumes & CV records

Resumes

Rui Chen Photo 39

Software Engineer

Location:
3915 Southview Ct, Jefferson, MD 21755
Industry:
Computer Software
Work:
Sap Ariba
Software Engineer
Rui Chen Photo 40

Rui Chen

Rui Chen Photo 41

Rui Xi Chen

Rui Chen Photo 42

Martin Luther College Graduate Studies

Work:

Martin Luther College Graduate Studies

Publications & IP owners

Us Patents

Content Management System

US Patent:
2008010, May 8, 2008
Filed:
Nov 5, 2007
Appl. No.:
11/935386
Inventors:
Yi-Ling Su - Los Altos CA, US
Frey Waid - San Francisco CA, US
Rui Chen - San Jose CA, US
Matthew Good - San Francisco CA, US
Franck Chastagnol - Palo Alto CA, US
Jianliang Zhao - San Jose CA, US
Zheng Liu - Palo Alto CA, US
David King - San Francisco CA, US
International Classification:
G06Q 10/00
G06F 17/00
G06Q 30/00
H04L 9/28
US Classification:
705059000, 705001000, 705014000, 726001000
Abstract:
Content rights holders provide digital content to a hosting site to be used as reference content. The content owner specifies a policy for each digital content item, indicating how that content may be used on the site when uploaded by someone other than the content owner. An identification module compares the uploaded content against reference content. If the content matches reference content, the specified policy for that reference content is applied to the uploaded content. Policy options provided by the content owner include tracking the content to see how it is viewed, preventing the content from being distributed on the site, and allowing the content to be displayed in a revenue-sharing environment. In one embodiment, if the identification module matches the uploaded content to a reference item but the match does not have a sufficiently high level of confidence, the suggested match is queued for review by the content owner.

Content Management System

US Patent:
2013001, Jan 10, 2013
Filed:
Sep 14, 2012
Appl. No.:
13/619813
Inventors:
Franck Chastagnol - Palo Alto CA, US
Jianliang Zhao - San Jose CA, US
Rui Chen - San Jose CA, US
Matthew Good - San Francisco CA, US
Yi-Ling Su - Los Altos CA, US
Frey Waid - San Francisco CA, US
Zheng Liu - Palo Alto CA, US
David King - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 21/00
US Classification:
726 1
Abstract:
Content rights holders provide digital content to a hosting site to be used as reference content. The content owner specifies a policy for each digital content item, indicating how that content may be used on the site when uploaded by someone other than the content owner. An identification module compares the uploaded content against reference content. If the content matches reference content, the specified policy for that reference content is applied to the uploaded content. Policy options provided by the content owner include tracking the content to see how it is viewed, preventing the content from being distributed on the site, and allowing the content to be displayed in a revenue-sharing environment. In one embodiment, if the identification module matches the uploaded content to a reference item but the match does not have a sufficiently high level of confidence, the suggested match is queued for review by the content owner.

A System For Identification Of Antigens Recognized By T Cell Receptors Expressed On Tumor Infiltrating Lymphocytes

US Patent:
2021028, Sep 16, 2021
Filed:
Jun 14, 2019
Appl. No.:
17/252222
Inventors:
- Pleasanton CA, US
- Tucson AZ, US
Jan Berka - Pleasanton CA, US
Rui Chen - Fremont CA, US
Lisa L. Gallegos - Tucson AZ, US
Toumy Guettouche - Pleasanton CA, US
Seoyoung Kim - Foster City CA, US
Maeve E. O'Huallachain - Belmont CA, US
Sedide Ozturk - Pleasanton CA, US
Jigar Patel - Verona WI, US
Florian Rubelt - Menlo Park CA, US
Stacey Stanislaw - Tucson AZ, US
International Classification:
C12Q 1/6883
C12Q 1/6806
C12N 15/10
C12Q 1/6881
Abstract:
The invention is a method of identifying a cognate antigen for a T-cell receptor using neoantigens from a patient's tumor cells combined with the patient's T-cells and using cell sorting, genome sequencing, expressing TCR genes, presenting tumor neoantigens on MHC complex and uniquely barcoding the T-cells where TCR recognition occurs to tag all components of the TCR recognition complex.

System And Method For Click-Through Rate Prediction

US Patent:
2021006, Mar 4, 2021
Filed:
Aug 28, 2020
Appl. No.:
17/006495
Inventors:
- Suwon-si, KR
Li Li - San Jose CA, US
Xi Liu - College Station TX, US
Rui Chen - Sunnyvale CA, US
Yong Ge - Tucson AZ, US
Soo-Hyun Choi - Sungnam-si, KR
International Classification:
G06Q 30/02
G06N 3/08
Abstract:
A system and method capable of learning dynamic user and advertisement behavior for more effective click-through rate prediction. The system and method include at least one processor configured to obtain at least one item data, wherein the at least one item data comprises at least one explicit feedback to a user interaction event and other data associated with an item. The at least one processor also uses an interaction model that incorporates the obtained at least one item data to generate a user response prediction for a user and another interaction event

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.