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Li Jun Huang

from Kirkland, WA
Age ~28
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Also known as:
Li J Huang, Jun Huang Li, Haung Li
Related to:
Liping Ping Hsieh, 79Zeng X Huang, 54Xiong HuangJian R Huang, 31Zeng X Huang, 53Teng Huang
Connected to:
Amber Huang, 34Ami Huang, 33Anton Huang, 32Baoping Huang, 41Bejen Huang, 66Belinda Huang, 42Beryl J Huang, 65Bidan Huang, 56Binglian Huang, 45Binglie L Huang, 64

Li Huang Phones & Addresses

  • Kirkland, WA
  • 4217 Mountain Grove Rd, Glen Allen, VA 23060

Professional Records

License Records

Li Huang

License #:
CC-0005613 - Active
Category:
Accountancy
Issued Date:
Feb 24, 2005
Type:
C.P.A. Certificate

Li Huang

License #:
CA-0002386 - Expired
Category:
Accountancy
Type:
C.P.A. Permit

Medicine Doctors

Li Huang Photo 1

Li L. Huang

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Specialties:
Internal Medicine
Work:
Lahey Health Primary Care Beverly
152 Conant St STE 1, Beverly, MA 01915
(978) 927-1919 (phone), (978) 927-4571 (fax)
Education:
Medical School
The Fourth Military Med Univ, Xian City, Shaanxi, China
Graduated: 1974
Procedures:
Destruction of Benign/Premalignant Skin Lesions
Electrocardiogram (EKG or ECG)
Vaccine Administration
Conditions:
Acute Sinusitis
Anemia
Skin and Subcutaneous Infections
Abnormal Vaginal Bleeding
Acne
Languages:
Chinese
English
Russian
Spanish
Description:
Dr. Huang graduated from the The Fourth Military Med Univ, Xian City, Shaanxi, China in 1974. She works in Beverly, MA and specializes in Internal Medicine. Dr. Huang is affiliated with Beverly Hospital, Lahey Hospital & Medical Center and Lahey Medical Center Peabody.
Li Huang Photo 2

Li Jun L. Huang

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Specialties:
Psychiatry
Work:
Westmont Sunshine Therapy Center
805 Quail Rdg Dr, Westmont, IL 60559
(630) 537-1666 (phone), (630) 908-7553 (fax)
Education:
Medical School
Jiangxi Med Coll, Nanchang City, Jiangxi, China
Graduated: 1986
Conditions:
Anxiety Phobic Disorders
Attention Deficit Disorder (ADD)
Depressive Disorders
Obsessive-Compulsive Disorder (OCD)
Schizophrenia
Languages:
Chinese
English
Description:
Dr. Huang graduated from the Jiangxi Med Coll, Nanchang City, Jiangxi, China in 1986. She works in Westmont, IL and specializes in Psychiatry. Dr. Huang is affiliated with Adventist Hinsdale Hospital and Amita Health La GrangeHospital.
Li Huang Photo 3

Li Huang

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Specialties:
Anatomic Pathology & Clinical Pathology
Work:
Ochsner ClinicOchsner Medical Center
1514 Jefferson Hwy, New Orleans, LA 70121
(504) 842-3930 (phone)
Languages:
Chinese
English
French
Spanish
Description:
Dr. Huang works in New Orleans, LA and specializes in Anatomic Pathology & Clinical Pathology. Dr. Huang is affiliated with Ochsner Medical Center Jefferson Highway.

Business Records

Name / Title
Company / Classification
Phones & Addresses
Li Fan Huang
AJISAI JAPANESE GRILL & SUSHI RESTAURANT LLC

Publications

Us Patents

Visual Intent Triggering For Visual Search

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US Patent:
20200019628, Jan 16, 2020
Filed:
Jul 16, 2018
Appl. No.:
16/036224
Inventors:
- Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Sammamish WA, US
Jiapei Huang - Seattle WA, US
Arun Sacheti - Sammamish WA, US
Linjun Yang - Sammamish WA, US
Rui Xia - Vancouver, CA
Kuang-Huei Lee - Redmond WA, US
Meenaz Merchant - Kirkland WA, US
International Classification:
G06F 17/30
G06K 9/62
G06N 5/04
G06N 99/00
G06F 17/11
Abstract:
Representative embodiments disclose mechanisms to perform visual intent classification or visual intent detection or both on an image. Visual intent classification utilizes a trained machine learning model that classifies subjects in the image according to a classification taxonomy. The visual intent classification can be used as a pre-triggering mechanism to initiate further action in order to substantially save processing time. Example further actions include user scenarios, query formulation, user experience enhancement, and so forth. Visual intent detection utilizes a trained machine learning model to identify subjects in an image, place a bounding box around the image, and classify the subject according to the taxonomy. The trained machine learning model utilizes multiple feature detectors, multi-layer predictions, multilabel classifiers, and bounding box regression.

Product Identification In Image With Multiple Products

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US Patent:
20190318405, Oct 17, 2019
Filed:
Apr 16, 2018
Appl. No.:
15/954152
Inventors:
- Redmond WA, US
Li Huang - Sammamish WA, US
International Classification:
G06Q 30/06
G06N 99/00
G06N 3/08
G06F 17/30
G06F 3/0484
G06K 9/66
G06K 9/62
G06F 3/0482
Abstract:
Methods, systems, and computer programs are presented for identifying the brand and model of products embedded within an image. One method includes operations for receiving, via a graphical user interface (GUI), a selection of an image, and for analyzing the image to determine a location within the image of one or more products. For each product in the image, determining a unique identification of the product is determined, the unique identification including a manufacturer of the product and a model identifier. The method further includes an operation for presenting information about the one or more products in the GUI with a selection option for selecting each of the one or more products. Additionally, the method includes operations for receiving a product selection for one of the one or more products, and presenting shopping options in the GUI for purchasing the selected product.

Image Annotation

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US Patent:
20190294705, Sep 26, 2019
Filed:
Mar 26, 2018
Appl. No.:
15/936117
Inventors:
- Redmond WA, US
Kuang-Huei LEE - Redmond WA, US
Houdong HU - Redmond WA, US
Li HUANG - Sammamish WA, US
Arun SACHETI - Sammamish WA, US
Meenaz MERCHANT - Kirkland WA, US
Linjun YANG - Sammamish WA, US
Tianjun XIAO - Mountain View CA, US
Saurajit MUKHERJEE - Kirkland WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 17/30
G06N 5/02
Abstract:
The description relates to diversified hybrid image annotation for annotating images. One implementation includes generating first image annotations for a query image using a retrieval-based image annotation technique. Second image annotations can be generated for the query image using a model-based image annotation technique. The first and second image annotations can be integrated to generate a diversified hybrid image annotation result for the query image.

Object Detection From Image Content

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US Patent:
20190258895, Aug 22, 2019
Filed:
Feb 20, 2018
Appl. No.:
15/900606
Inventors:
- Redmond WA, US
Xi Chen - Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Redmond WA, US
Jiapei Huang - Redmond WA, US
Meenaz Merchant - Redmond WA, US
International Classification:
G06K 9/62
G06F 17/30
Abstract:
Non-limiting examples of the present disclosure relate to object detection processing of image content that categorically classifies specific objects within image content. Exemplary object detection processing may be utilized to enhance visual search processing including content retrieval and curation, among other technical advantages. An exemplary object detection model is implemented to categorically classify an object. In doing, so an exemplary object detection model may classify objects based on: analysis of specific objects within image content, positioning of the objects within the image content and intent associated with the image content, among other examples. The object detection model generates exemplary categorical classification(s) for specific data objects, which may be propagated to enhance processing efficiency and accuracy during visual search processing. Exemplary categorical classifications may comprise hierarchical classifications of a detected object that can be used to retrieve, curate and surface content that is most contextually relevant to a detected object.

Visual Search As A Service

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US Patent:
20190243910, Aug 8, 2019
Filed:
Feb 5, 2018
Appl. No.:
15/888960
Inventors:
- Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Sammamish WA, US
Arun K. Sacheti - Redmond WA, US
Linjun Yang - Sammamish WA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods can be implemented to conduct a visual search as a service in a variety of applications. In various embodiments, a system is configured to provide searching capabilities of content provided by a first entity in response to a search request by a second entity. An image provided by the second entity can be used by the system as a query image to search the content of the first entity. In an embodiment, the first entity can be a commercial entity providing such a system with image related content regarding its products and services such that any number of individual consumers can search for particular products and services of the commercial entity via their communication enabled devices. In addition, such systems can be arranged for other embodiments to provide customized searches of a single source by many individual devices. Additional systems and methods are disclosed.

Multi-Modal Visual Search Pipeline For Web Scale Images

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US Patent:
20190236167, Aug 1, 2019
Filed:
Jan 31, 2018
Appl. No.:
15/885568
Inventors:
- Redmond WA, US
Yan Wang - Mercer Island WA, US
Linjun Yang - Sammamish WA, US
Li Huang - Sammamish WA, US
Xi Chen - Redmond WA, US
Jiapei Huang - Beijing, CN
Ye Wu - Redmond WA, US
Arun K. Sacheti - Redmond WA, US
Meenaz Merchant - Kirkland WA, US
International Classification:
G06F 17/30
G06T 7/00
G06K 9/62
G06K 9/46
G06N 3/08
Abstract:
Systems and methods can be implemented to conduct searches based on images used as queries in a variety of applications. In various embodiments, a set of visual words representing a query image are generated from features extracted from the query image and are compared with visual words of index images. A set of candidate images is generated from the index images resulting from matching one or more visual words in the comparison. A multi-level ranking is conducted to sort the candidate images of the set of candidate images, and results of the multi-level ranking are returned to a user device that provided the query image. Additional systems and methods are disclosed.

Machine Learning Hyperparameter Tuning Tool

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US Patent:
20190236487, Aug 1, 2019
Filed:
Jan 30, 2018
Appl. No.:
15/883686
Inventors:
- Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Sammamish WA, US
Xi Chen - Bellevue WA, US
Linjun Yang - Sammamish WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06N 99/00
Abstract:
A technique for hyperparameter tuning can be performed via a hyperparameter tuning tool. In the technique, computer-readable values for each of one or more machine learning hyperparameters can be received. Multiple computer-readable hyperparameter value sets can be defined using different combinations of the values. In response to a request to start, an overall hyperparameter tuning operation can be performed via the tool, with the overall operation including a tuning job for each of the hyperparameter sets. A computer-readable comparison of the results of the parameter tuning operations can be generated for the hyperparameter sets, with the comparison indicating effectiveness of the hyperparameter sets, as compared to each other, in the tuning jobs.

Real-Time Object Segmentation In Live Camera Mode

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US Patent:
20190066304, Feb 28, 2019
Filed:
Aug 31, 2017
Appl. No.:
15/693388
Inventors:
- Redmond WA, US
Li HUANG - Sammamish WA, US
Eun Ji LEE - Auburn WA, US
Linjun YANG - Sammamish WA, US
Meenaz Aliraza MERCHANT - Kirkland WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06T 7/12
H04N 5/232
G06K 9/62
G06K 9/00
Abstract:
Systems and methods related to segmenting objects detected in an input view via a camera application in a live camera mode of an electronic device are disclosed herein. In some example aspects, a real-time object segmentation system is provided that receives input views during the live camera mode. The live camera mode may consist of at least one input view that is displayed on the screen of the electronic device prior to the capturing of a static image. The live camera mode may receive multiple views as the electronic device is moved, and these input views may be processed using at least one machine-learning algorithm to identify (or recognize) one or more objects. Based on the identification of the object or objects within the input view, at least one selectable action response may be provided to the user.
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Li Jun Huang from Kirkland, WA, age ~28 Get Report