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Hui Tang Phones & Addresses

  • Plano, TX
  • San Jose, CA
  • Dallas, TX
  • Sunnyvale, CA
  • Bethesda, MD
  • Derwood, MD
  • Silver Spring, MD

Professional Records

Medicine Doctors

Hui Tang Photo 1

Hui Tang

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Specialties:
Family Medicine
Work:
First Primary Care & Family Medicine
4689 Us Hwy 17 STE 14, Orange Park, FL 32003
(904) 264-2006 (phone), (904) 264-2766 (fax)
Education:
Medical School
Beijing Med Univ, Beijing City, Beijing, China
Graduated: 1983
Procedures:
Arthrocentesis
Destruction of Benign/Premalignant Skin Lesions
Electrocardiogram (EKG or ECG)
Vaccine Administration
Conditions:
Acute Bronchitis
Hypertension (HTN)
Abnormal Vaginal Bleeding
Acne
Acute Conjunctivitis
Languages:
Chinese
English
Spanish
Description:
Dr. Tang graduated from the Beijing Med Univ, Beijing City, Beijing, China in 1983. She works in Fleming Island, FL and specializes in Family Medicine. Dr. Tang is affiliated with Orange Park Medical Center.

Resumes

Resumes

Hui Tang Photo 2

Senior Software Engineer

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Location:
340 Root Rd, Brockport, NY 14420
Industry:
Computer Software
Work:
Google
Software Engineer In Test

Data Domain Nov 2009 - Feb 2011
Tools Engineer

Hubbard County Dac Apr 2009 - Aug 2009
Web Designer

Ben Ranson Band Feb 2009 - Aug 2009
Web Designer

Data Domain May 2009 - Aug 2009
Software Engineering Intern
Education:
Massachusetts Institute of Technology 2007 - 2008
Masters, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science, Engineering
Massachusetts Institute of Technology 2003 - 2008
Bachelors, Bachelor of Science, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science
Skills:
Software Engineering
Python
Linux
Software Development
Algorithms
Debugging
Test Automation
Test Automation Framework
Test Automation Tools
Languages:
Mandarin
Hui Tang Photo 3

Hui Tang

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Skills:
Risk Management
Hui Tang Photo 4

Hui Tang

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Location:
394 Boynton Ave, San Jose, CA 95117
Industry:
Computer Software
Hui Tang Photo 5

Hui Tang

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Hui Tang Photo 6

Hui Tang

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Hui Tang Photo 7

Hui Tang

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Location:
United States

Business Records

Name / Title
Company / Classification
Phones & Addresses
Hui Rong Tang
President, Director
SHANSHUI INTERNATIONAL DEVELOPMENT , INC
Business Services at Non-Commercial Site
4325 Waskom Dr, Plano, TX 75024

Publications

Us Patents

Cleaning Ceramic Surfaces

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US Patent:
20030190870, Oct 9, 2003
Filed:
Apr 3, 2002
Appl. No.:
10/115682
Inventors:
Hong Shih - Walnut Creek CA, US
Danny Lu - Milpitas CA, US
Nianci Han - San Jose CA, US
Xikun Wang - Sunyvale CA, US
Hui Chen - San Jose CA, US
Hui Tang - San Jose CA, US
Li Xu - San Jose CA, US
Yang Zhang - Albany CA, US
Dan Wang - San Jose CA, US
Assignee:
Applied Materials, Inc.
International Classification:
B24C001/00
US Classification:
451/039000
Abstract:
Method and apparatus for cleaning ceramic surfaces of parts used, for example, and without limitation, in semiconductor processing equipment. In particular, one embodiment of the present invention is a method for cleaning a ceramic part that includes steps of: (a) treating the surface using one or more first mechanical processes; (b) treating the surface using one or more chemical processes; (c) plasma conditioning the surface; and (d) treating the surface using one or more second mechanical processes.

User Device Based Parkinson's Disease Detection

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US Patent:
20220257171, Aug 18, 2022
Filed:
May 6, 2022
Appl. No.:
17/738577
Inventors:
- Palo Alto CA, US
Hui TANG - Mountain View CA, US
Yusheng XIE - Mountain View CA, US
Shih-Yao LIN - Palo Alto CA, US
Qian ZHEN - Santa Clara CA, US
Zhimin HUO - Palo Alto CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
A61B 5/00
A61B 5/11
Abstract:
A method and user device for determining a unified Parkinson's disease rating scale (UPDRS) value associated with a user of the user device include obtaining video data associated with a movement of a body part of the user. The UPDRS value is determined using a model and the video data associated with the movement of the body part of the user. The UPDRS value is provided to permit an evaluation of the user based on the UPDRS value.

Synthesizing 3D Hand Pose Based On Multi-Modal Guided Generative Networks

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US Patent:
20220189050, Jun 16, 2022
Filed:
Dec 14, 2020
Appl. No.:
17/120461
Inventors:
- Palo Alto CA, US
Kun WANG - San Jose CA, US
Hui TANG - Mountain View CA, US
Chao HUANG - Palo Alto CA, US
Lianyi HAN - Palo Alto CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
G06T 7/564
G06T 9/20
G06T 9/00
G06T 7/73
G06T 19/00
Abstract:
Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

Spo2 Miniprogram: Ai Spo2 Measurement App

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US Patent:
20210345892, Nov 11, 2021
Filed:
May 8, 2020
Appl. No.:
16/869740
Inventors:
- Palo Alto CA, US
Chao HUANG - Palo Alto CA, US
Xiaozhong CHEN - Cedarburg WI, US
Zhimin HUO - Palo Alto CA, US
Shih-Yao LIN - Palo Alto CA, US
Hui TANG - Mountain View CA, US
Tao YANG - Mountain View CA, US
Kun WANG - San Jose CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
A61B 5/0205
G06K 7/14
G06K 7/10
G06F 17/18
G06Q 50/00
H04N 5/232
G06F 3/14
A61B 5/1455
A61B 5/026
A61B 5/00
Abstract:
There is included an apparatus and system including video capture code configured to control a camera of a mobile phone to capture a video of at least a portion of skin, extraction code configured to extract at least one photoplethysmogram (PPG) signal from the video, determination code configured to determine a peripheral oxygen saturation (SpO2) value based on the PPG signal with respect to a blood flow at the portion of skin, and display code configured to control a display of the mobile phone to display the SpO2 value

Video-Based 3D Hand Pose And Mesh Estimation Based On Temporal-Aware Self-Supervised Learning

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US Patent:
20210256251, Aug 19, 2021
Filed:
Feb 13, 2020
Appl. No.:
16/789507
Inventors:
- Palo Alto CA, US
Yusheng XIE - Mountain View CA, US
Hui TANG - Mountain View CA, US
Chao HUANG - Palo Alto CA, US
Lianyi HAN - Palo Alto CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
G06K 9/00
G06N 3/08
G06N 3/04
G06K 9/82
G06K 9/62
G06K 9/46
Abstract:
A method, computer program, and computer system is provided for estimating three-dimensional hand poses in images. Data corresponding to two hand images is receive, and an optical flow value corresponding to a change in a hand gesture in the received hand image data is calculate. A heat map is generated based on the calculated optical flow, and a hand mesh map is estimated based on the generated heat map. A hand pose present within the hand images is determined based on the estimated hand mesh map.

Two And A Half Dimensional Convolutional Neural Network For Predicting Hematoma Expansion In Non-Contrast Head Computerized Tomography Images

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US Patent:
20210133957, May 6, 2021
Filed:
Oct 31, 2019
Appl. No.:
16/670133
Inventors:
- Palo Alto CA, US
Zhen QIAN - Santa Clara CA, US
Hui TANG - Mountain View CA, US
Yusheng XIE - Mountain View CA, US
Shihyao LIN - Palo Alto CA, US
Kun WANG - San Jose CA, US
Xiaozhong CHEN - Cedarburg WI, US
Lianyi HAN - Palo Alto CA, US
Zhimin HUO - Palo Alto CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
G06T 7/00
G06K 9/32
G06T 7/11
G06T 7/62
A61B 6/03
A61B 6/00
Abstract:
A method and apparatus include receiving a three dimensional (3D) non-contrast computed tomography (NCCT) image of a head including a hematoma. A plurality of two dimensional (2D) images of the head including the hematoma are generated using the 3D NCCT image of the head including the hematoma. A plurality of 2D hematoma images are generated using a first 2D convolutional neural network (CNN) based on the plurality of 2D images. A 3D region of interest (ROI) that encompasses the hematoma is identified based on the plurality of 2D hematoma images. A plurality of 2D images that correspond to the ROI are generated. A hematoma expansion (HE) prediction score is determined using a second CNN based on the plurality of 2D images that correspond to the ROI. The HE prediction score is provided.

User Device Based Parkinson's Disease Detection

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US Patent:
20210059595, Mar 4, 2021
Filed:
Aug 28, 2019
Appl. No.:
16/554006
Inventors:
- Palo Alto CA, US
Hui TANG - Mountain View CA, US
Yusheng XIE - Mountain View CA, US
Shih-Yao LIN - Palo Alto CA, US
Qian ZHEN - Santa Clara CA, US
Zhimin HUO - Palo Alto CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
A61B 5/00
A61B 5/11
Abstract:
A method and user device for determining a unified Parkinson's disease rating scale (UPDRS) value associated with a user of the user device include obtaining video data associated with a movement of a body part of the user. The UPDRS value is determined using a model and the video data associated with the movement of the body part of the user. The UPDRS value is provided to permit an evaluation of the user based on the UPDRS value.

Training Framework For Multi-Group Electrocardiography (Mg-Ecg) Analysis

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US Patent:
20210065876, Mar 4, 2021
Filed:
Aug 30, 2019
Appl. No.:
16/556491
Inventors:
- Palo Alto CA, US
Tao YANG - Mountain View CA, US
Min TU - Cupertino CA, US
Yaliang LI - Santa Clara CA, US
Hui TANG - Mountain View CA, US
Wei FAN - New York NY, US
Assignee:
TENCENT AMERICA LLC - Palo Alto CA
International Classification:
G16H 30/20
G06N 20/00
Abstract:
A method of performing electrocardiography (ECG) analysis by at least one processor, the method including receiving ECG data that is from multiple leads; grouping the ECG data into groups of data; generating, from each group of the groups of data, a feature vector using a respective machine learning model; and performing ECG analysis using the feature vectors generated from each of the groups of data.
Hui J Tang from Plano, TX Get Report