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Dong Wang

from San Diego, CA
Age ~49
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Also known as:
Du Shan Wang
Phone and address:
10841 Corte De Marin, San Diego, CA 92130
Related to:
Ye Wang, 35Huiyuan Wang, 51
Connected to:
Adele R Wang, 107Aiyuan Wang, 52Akiet Wang, 74Alene P Wang, 52Amanda K Wang, 46Amei Wang, 61Amity H Wang, 70Amy Wang, 59Anastasia S Wang, 85Ange Wang, 35

Dong Wang Phones & Addresses

  • 10841 Corte De Marin, San Diego, CA 92130
  • San Jose, CA
  • Mountain View, CA
  • Menlo Park, CA
  • 77 Massachusetts Ave, Cambridge, MA 02139
  • Del Mar, CA

Professional Records

Lawyers & Attorneys

Dong Wang Photo 1

Dong Wang - Lawyer

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Address:
Broad & Bright Law Firm
(108) 513-1803 (Office)
Licenses:
New York - Currently registered 2002
Education:
Columbia

Medicine Doctors

Dong Wang Photo 2

Dong Wang

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Specialties:
Neurology
Work:
Lagrange Neurology Corporation
300 Medical Dr STE 701, Lagrange, GA 30240
(706) 882-0552 (phone), (706) 882-0599 (fax)

Georga Neurodiagnostic Treatment Center
34 Upper Riverdale Rd, Riverdale, GA 30274
(770) 907-7665 (phone), (770) 907-7664 (fax)
Education:
Medical School
Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71)
Graduated: 1989
Conditions:
Anxiety Phobic Disorders
Diabetes Mellitus (DM)
Disorders of Lipoid Metabolism
Epilepsy
Fractures, Dislocations, Derangement, and Sprains
Languages:
Chinese
English
Description:
Dr. Wang graduated from the Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) in 1989. He works in Riverdale, GA and 1 other location and specializes in Neurology. Dr. Wang is affiliated with Gwinnett Medical Center, Piedmont Atlanta Hospital and Southern Regional Medical Center.

Public records

Vehicle Records

Dong Wang

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Address:
3611 Logan Ave, San Diego, CA 92113
VIN:
JH4CU2F62AC019544
Make:
ACURA
Model:
TSX
Year:
2010

Resumes

Resumes

Dong Wang Photo 3

Dong Wang Stafford, TX

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Work:
Strategic Business Systems

2011 to 2000
Storage Consultant
J.P.Morgan Chase
Houston, TX
2006 to 2010
Lead Engineer, Data Storage & Backup Engineering Lab & Production Support
ACS Inc
Dallas, TX
2005 to 2006
Data Storage Administrator
Capital Group
San Antonio, TX
2004 to 2005
Data Storage Administrator
United States Postal Service
Eagan, MN
Mar 2004 to Sep 2004
Internal Revenue Services
Memphis, TN
Jun 2003 to Mar 2004
Strategic Business Systems
Herndon, VA
2003 to 2004
Data Storage Consultant
Keyport Life Insurance
Boston, MA
2000 to 2003
Senior System Administrator
Nokia Communication
Burlington, MA
1999 to 2000
Senior Network Administrator Consultant
Teksystems
Westwood, MA
Oct 1998 to May 1999
System Engineer
Teksystems
Framingham, MA
1998 to 1999
System Engineer Consultant
Teksystems
Framingham, MA
Jul 1998 to Oct 1998
Field Engineer
Harvard Medical School
Boston, MA
1994 to 1998
Education:
Washington State University
Pullman, WA
1994
Ph.D in Biochemistry
Washington State University
Pullman, WA
1992
M.S. in Biochemistry
Wuhan University
Wuhan, CN
1988
B.S. in Chemistry
Skills:
Hardware: EMC Symmetrix VMAX, DMX4, DMX3, DMX1000, 2000 &3000, Symmatrix 8730 EMC VNX 5700 EMC Clariion CX4, CX3, CX700 & CX600 EMC Celerra 704G Hitachi VSP USPV, USP, AMS2500, 1000, 9585V & 9570V HP 3PAR F-class, T-class, V-class and StoreServ 7000 series IBM XIV Brocade DCX, 48K, 24K, 12K directors, 4100, 3900 & 2800 switches, McData ED140M & 64M Cisco MDS9509 & 9216 Cisco Unified Computing System (UCS) Network Appliance Filers (FAS 6070C, 3050C, 960C, R200) StorageTek L700 & L180 Tape Library, 9840 tape drives Software: EMC Solutions Enabler 7.x & 6.x (SRDF, TimeFinder, Configuration Manager etc) EMC ControlCenter, Powerpath, Open Replicator, SANCopy, Celerra Manager, Unisphere Manager HDS Device Manager & Tuning Manager 6.x, TrueCopy & ShadowImage, HDS Universal Replicator, CCI, Dynamic Provisioning, HDLM Veritas File System, Veritas Volume Manager VMWare 3.x, 4.x & 5.x HP 3PAR Remote Copy, Adaptive Optimization, Dynamic Optimization, Recovery Manager Sun Solaris, HP-UX, AIX, Windows OS Backups: Veritas Netbackup 6.x, 5.x, 4.5, 3.x, EMC Avamar 5.1, FalconStor VTL & SIR 5.2, Veritas Backup Exec 8, ArcServe 6.5 & 6.61, Legato Networker 5.5, EMC EDM 5.0
Dong Wang Photo 4

Dong Wang Houston, TX

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Work:
MD Anderson Cancer Center

Oct 2014 to 2000
UI Tech Lead
MD Anderson Cancer Center

May 2014 to 2000
Senior Software Developer
MD Anderson Cancer Center
Houston, TX
Apr 2013 to May 2014
Platform Research Investigator
The Scripps Research Institute
La Jolla, CA
Jun 2011 to Aug 2011
Summer intern / C# software engineer
Vanderbilt University
Nashville, TN
2009 to 2010
Research Assistant / Programmer
Institute of Microbiology and Epidemiology

May 2004 to Jul 2007
Research Associate
Education:
Vanderbilt University
Nashville, TN
2012 to 2013
PHD Precandidate in Clinical Informatics
Vanderbilt University
Nashville, TN
2010 to 2012
Master of Science in Biomedical Informatics
Academy of Military Medical Sciences
Sep 2001 to Jun 2004
Master of Medicine in Immunology
Nankai University
Sep 1997 to Jun 2001
Bachelor of Science in Microbiology
Skills:
Web application; Database management; Machine learning; Biomedical informatics
Dong Wang Photo 5

Dong Wang San Diego, CA

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Work:
Purchasing
San Diego, CA
Apr 2006 to Jan 2010
Sales/Accounting clerk
School Medicine, University of California
San Diego, CA
Oct 2002 to Jul 2004
Lab assistant
China Inn Restaurant, Inc
San Diego, CA
Oct 1998 to Oct 2000
Manager
Education:
San Diego Mesa College
2005
Certificate in accounting
Capital Normal University
1988 to 1993
BA in Political Law
Skills:
Quickbooks pro, Microsoft office program

Business Records

Name / Title
Company / Classification
Phones & Addresses
Dong Wang
President
89 Am Web Services, Inc
Business Services, Nec, Nsk
3843 Cottonwood Dr, Danville, CA 94506
Dong Won Wang
Managerging Director
Korea Trade Center
Korean Government Agency
1875 S Grant St, San Mateo, CA 94402
(650) 571-8483
Dong Wang
Treasurer
INTERNATIONAL DEVELOPMENT CORPORATION
18 Middlesex St, Cambridge, MA 02140
3 Riv Pl, Lowell, MA 01852
Dong Wang
President
89AM WEB SERVICES, INC
3843 Cottonwood Dr, Danville, CA 94506
Dong Wang
President
OVERSEA AROMA CORPOTATION
7762 Quitasol St, Carlsbad, CA 92009
Dong Shen Wang
President
BOE TECH, INC
46250 Sentinel Dr, Fremont, CA 94539
Dong Wang
President
DNA ID LAB, INC
3843 Cottonwood Dr, Danville, CA 94506
Dong Wang
President
NIHAO COMMUNICATIONS, INC
3843 Cottonwood Dr, Danville, CA 94506

Publications

Us Patents

Antenna Selection With Rf Imbalance

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US Patent:
7917107, Mar 29, 2011
Filed:
Mar 23, 2006
Appl. No.:
11/387252
Inventors:
Daqing Gu - Burlington MA, US
Andreas F. Molisch - Arlington MA, US
Jinyun Zhang - Cambridge MA, US
Hongyuan Zhang - Raleigh NC, US
Dong Wang - Newark DE, US
Assignee:
Mitsubishi Electric Research Laboratories, Inc. - Cambridge MA
International Classification:
H04B 7/08
US Classification:
455132, 455140, 375347
Abstract:
A method for selecting antennas in a multiple-input, multiple-output wireless communications network that includes multiple stations is presented. Each station includes a set of transmit RF chains and a set of receive RF chains, and each RF chain is connectable to a set of antennas. A first station transmits a training frame for each possible subset of the set of antennas, and the set of transmit RF chains are connected to the subset of antennas according to a connection mapping rule while transmitting each training frame. A subchannel matrix is estimated in a second station for each frame. The subchannel matrices are combined to obtain a complete channel matrix. A particular subset of the antennas is selected according to the complete channel matrix. The set of transmit RF chains is connected to the selected particular subset of antennas to transmit data from the first station to the second station.

Cost And Participation Models For Exchange Third-Party Integration In Online Advertising

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US Patent:
20110035259, Feb 10, 2011
Filed:
Aug 7, 2009
Appl. No.:
12/537429
Inventors:
Shirshanka Das - Santa Clara CA, US
Bhaskar Ghosh - Palo Alto CA, US
Dong Wang - Saratoga CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 10/00
G06Q 30/00
US Classification:
705 10
Abstract:
A modeling system to evaluate cost-based viability of a real-time, auction-based advertising system with third-party integration includes an exchange server configured to receive advertising bids, create bid requests to third-party entities based thereon, and select a winning bid from responses to the requests. A computer, coupled with the exchange server: computes a plurality of valid paths from publishers to and from the third-party entities through the exchange server; estimates server and network costs, including fixed hardware costs and variable operational costs, amortized over a predetermined period of time, based on a number of average queries per second (QPS) transmitted at different portions of the valid paths; compares current periodic fees paid by the third-party entities to the amortized costs, to determine cost-based system viability; and determines updates, if needed, to the periodic fees based on the plurality of costs to maintain cost-based system viability.

Machine Learning In Video Classification

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US Patent:
20220270364, Aug 25, 2022
Filed:
Feb 9, 2022
Appl. No.:
17/667758
Inventors:
- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US
International Classification:
G06V 20/40
G06K 9/62
G11B 27/34
G11B 27/36
G06F 16/74
G06F 16/783
G06F 16/2457
G06F 3/00
G06F 16/738
Abstract:
Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Machine Learning In Video Classification With Schedule Highlighting

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US Patent:
20220261128, Aug 18, 2022
Filed:
May 7, 2022
Appl. No.:
17/739077
Inventors:
- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US
International Classification:
G06F 3/0484
G06V 20/40
Abstract:
Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Machine Learning In Video Classification

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US Patent:
20210303863, Sep 30, 2021
Filed:
Jun 12, 2021
Appl. No.:
17/346202
Inventors:
- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US
International Classification:
G06K 9/00
G06K 9/62
G11B 27/34
G11B 27/36
G06F 16/74
G06F 16/783
G06F 16/2457
G06F 3/00
G06F 16/738
Abstract:
Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Amygdalar Neural Ensemble That Encodes The Unpleasantness Of Pain

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US Patent:
20210220489, Jul 22, 2021
Filed:
Jan 13, 2021
Appl. No.:
17/148377
Inventors:
- Stanford CA, US
Mark Schnitzer - Redwood City CA, US
Benjamin Grewe - Zurich, CH
Dong Wang - Palo Alto CA, US
Biafra Ahanonu - San Francisco CA, US
Gregory Corder - Philadelphia PA, US
International Classification:
A61K 49/00
A61K 9/00
C07K 16/28
C12N 15/113
Abstract:
An ensemble of neurons in the basolateral amygdala (BLA) has been identified that encodes nociceptive information across pain modalities, including pain evoked by noxious thermal and mechanical stimuli. Methods are provided for screening candidate agents for inhibition of neural activity of the BLA nociceptive ensemble. Screening assays further include determining the effectiveness of candidate agents in alleviating pain and reducing aversive pain avoidance behavior.

Systems, Apparatuses, And Methods For Document Querying

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US Patent:
20210157845, May 27, 2021
Filed:
Nov 27, 2019
Appl. No.:
16/697948
Inventors:
- Seattle WA, US
Zhiheng HUANG - Santa Clara CA, US
Xiaofei MA - New York NY, US
Ramesh M. NALLAPATI - New Canaan CT, US
Krishnakumar RAJAGOPALAN - Edison NJ, US
Milan SAINI - West New York NJ, US
Sudipta SENGUPTA - Sammamish WA, US
Saurabh Kumar SINGH - Seattle WA, US
Dimitrios SOULIOS - Seattle WA, US
Ankit SULTANIA - Seattle WA, US
Dong WANG - New York NY, US
Zhiguo WANG - Great Neck NY, US
Bing XIANG - Mount Kisco NY, US
Peng XU - Sunnyvale CA, US
Yong YUAN - Mercer Island WA, US
International Classification:
G06F 16/901
G06F 16/903
G06F 16/2457
G06N 3/04
Abstract:
Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Machine Learning In Video Classification With Playback Highlighting

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US Patent:
20200364263, Nov 19, 2020
Filed:
Aug 1, 2020
Appl. No.:
16/945805
Inventors:
- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Palo Alto CA, US
Ryan Tobin - Sacramento CA, US
International Classification:
G06F 16/783
G11B 27/34
G06F 16/738
G06F 16/74
G06K 9/00
G06F 3/0484
Abstract:
Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Isbn (Books And Publications)

China's Unequal Treaties: Narrating National History

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Author

Dong Wang

ISBN #

0739112082

Managing God's Higher Learning: U.S.-China Cultural Encounters and Canton Christian College (Lingnan University), 1888-1952

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Author

Dong Wang

ISBN #

0739119354

Managing God's Higher Learning: U.S.-China Cultural Encounter and Canton Christian College (Lingnan University), 1888-1952

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Author

Dong Wang

ISBN #

0739119362

Rang Li Shi Zhao Shi Wei Lai: Zhong Mei Guan Xi Shi Gang = China, America

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Author

Dong Wang

ISBN #

7801863992

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Dong Wang from San Diego, CA, age ~49 Get Report