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Fei Huang Phones & Addresses

  • San Francisco, CA
  • 630 Olmstead St, San Francisco, CA 94134 (415) 467-5481

Work

Position: Protective Service Occupations

Education

Degree: Associate degree or higher

Professional Records

License Records

Fei Huang

License #:
MTR000765 - Expired
Category:
MEDICINE
Type:
MEDICAL TRAINING REGISTRANT

Resumes

Resumes

Fei Huang Photo 1

Fei Huang

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Work:
Private Investor

Jan 2011 to 2000

Blue Paragon
London
Jul 2010 to Jan 2011
Quantitative Researcher

Millennium Capital Partners
London
Jun 2009 to Apr 2010
Quantitative Researcher

Winton Capital Management
London
Jul 2008 to Oct 2008
Quantitative Researcher

Concordia Advisors
London
Apr 2006 to Jul 2008
Quantitative Researcher

Education:
University of Oxford
Oxford
2002 to 2006
DPhil in Computer Vision and Machine Learning

Nanjing University
Nanjing, CN
1997 to 2001
B.S. in Electronics Engineering

Business Records

Name / Title
Company / Classification
Phones & Addresses
Fei Huang
President
GWT INTERNATIONAL, INC
305B Castro Vly Blvd STE #168, Castro Valley, CA 94546

Publications

Us Patents

Cascading Security Architecture

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US Patent:
8051487, Nov 1, 2011
Filed:
Apr 27, 2006
Appl. No.:
11/413754
Inventors:
Fei Huang - Fremont CA, US
Shu Huang - San Jose CA, US
Liwei Ren - Sunnyvale CA, US
Assignee:
Trend Micro Incorporated - Tokyo
International Classification:
G06F 7/04
US Classification:
726 27, 726 2
Abstract:
A system and a method are disclosed for sensitive document management. The system includes one or more agents, a behavior analysis engine, a local policy engine, and a local matching service. The method identifies whether a document is sensitive, identifies behaviors applied to the document, determines whether the document contains sensitive information and determines whether to allow the identified behavior to continue based on security policies.

Content Filtering Prior To Data Encryption

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US Patent:
8468595, Jun 18, 2013
Filed:
Mar 20, 2007
Appl. No.:
11/688633
Inventors:
Fei Huang - Fremont CA, US
Shu Huang - San Jose CA, US
Liwei Ren - Sunnyvale CA, US
Assignee:
Trend Micro Incorporated - Tokyo
International Classification:
H04L 29/06
US Classification:
726 22, 726 1, 726 11, 726 13, 726 26, 726 30
Abstract:
A system (and a method) evaluates raw data from an application prior to modification of the raw data. The system inserts injection code into an application. The injection code is configured to hook an application. The application is configured to allow modification of the raw data. Modification includes encryption and/or compression. The system analyzes the raw data in a context of a predefined policy in response to the executing application reaching the injected code during execution. The system instructs the application to cease operating on the raw data in response to the predefined policy prohibiting further processing of the raw data or instructs the application to bypass the injection code in response to the predefined policy no prohibiting processing of the raw data.

Vertically Integrated Automatic Threat Level Determination For Containers And Hosts In A Containerization Environment

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US Patent:
20210390174, Dec 16, 2021
Filed:
Aug 27, 2021
Appl. No.:
17/458966
Inventors:
- San Jose CA, US
Fei Huang - Fremont CA, US
Gang Duan - San Jose CA, US
International Classification:
G06F 21/53
G06F 21/57
Abstract:
A threat level analyzer probes for one or more threats within an application container in a container system. Each threat is a vulnerability or a non-conformance with a benchmark setting. The threat level analyzer further probes for one or more threats within a host of the container service. The threat level analyzer generates a threat level assessment score based on results from the probing of the one or more threats of the application container and the one or more threats of the host, and generates a report for presentation in a user interface including the threat level assessment score and a list of threats discovered from the probe of the application container and the host. A report is transmitted by the threat level analyzer to a client device of a user for presentation in the user interface.

Use Of A Janus Kinase Inhibitor And A Telomerase Inhibitor For The Treatment Of Myeloproliferative Neoplasms

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US Patent:
20210269807, Sep 2, 2021
Filed:
Nov 3, 2020
Appl. No.:
17/088303
Inventors:
- Foster City CA, US
Fei Huang - Foster City CA, US
International Classification:
C12N 15/113
A61K 31/519
A61K 31/506
A61K 31/5377
A61K 31/529
Abstract:
Aspects of the disclosure include methods for treating a myeloproliferative neoplasm. Methods according to certain embodiments include co-administering to a subject a Janus kinase (JAK) inhibitor and a telomerase inhibitor comprising an oligonucleotide and a lipid moiety linked to the 5′ and/or 3′ end of the oligonucleotide. Methods for inducing apoptosis of a myeloproliferative neoplasm cell by contacting the cell with an amount of a JAK inhibitor and a telomerase inhibitor sufficient to induce apoptosis are also described. Compositions having a JAK inhibitor and a telomerase inhibitor for practicing the subject methods are also provided.

Vertically Integrated Automatic Threat Level Determination For Containers And Hosts In A Containerization Environment

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US Patent:
20200110873, Apr 9, 2020
Filed:
Oct 9, 2018
Appl. No.:
16/155742
Inventors:
- Milpitas CA, US
Fei Huang - Fremont CA, US
Gang Duan - San Jose CA, US
International Classification:
G06F 21/53
G06F 21/57
Abstract:
A threat level analyzer probes for one or more threats within an application container in a container system. Each threat is a vulnerability or a non-conformance with a benchmark setting. The threat level analyzer further probes for one or more threats within a host of the container service. The threat level analyzer generates a threat level assessment score based on results from the probing of the one or more threats of the application container and the one or more threats of the host, and generates a report for presentation in a user interface including the threat level assessment score and a list of threats discovered from the probe of the application container and the host. A report is transmitted by the threat level analyzer to a client device of a user for presentation in the user interface.

Method Of Learning Robust Regression Models From Limited Training Data

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US Patent:
20190080259, Mar 14, 2019
Filed:
Sep 13, 2017
Appl. No.:
15/703189
Inventors:
- Schenectady NY, US
Fei HUANG - San Ramon CA, US
International Classification:
G06N 99/00
G06N 5/02
Abstract:
According to some embodiments, system and methods are provided, comprising building a first model structure for a reference domain; generating a first learned model for the first model structure using one or more data points associated with the reference domain; executing the first learned model with one or more data points in a target domain to predict a dependent variable associated with the target domain; calculating a residual variable for the predicted dependent variable associated with the target domain; building a second model structure for the target domain using the residual variable as a dependent variable; generating a second learned model for the second model structure using one or more data points associated with the target domain; and constructing a target model for the target domain, wherein the target model is the sum of the first and the second learned models. Numerous other aspects are provided.

Apparatus And Method For Event Detection And Duration Determination

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US Patent:
20190018375, Jan 17, 2019
Filed:
Jan 22, 2018
Appl. No.:
15/876674
Inventors:
- Schenectady NY, US
Fei Huang - San Ramon CA, US
Sivanvitha Devarakonda - San Ramon CA, US
International Classification:
G05B 13/04
G05B 19/418
Abstract:
An asset class type of a new asset is predicted or determined based upon an evaluation of time series data from the new asset. A predicted asset type is used to identify sensors of the new asset to use for data collection. Using the readings of selected sensors from the new asset, states of the new asset are obtained. The duration at least one of these states of the new asset is determined. This information can be subsequently used to optimize the performance of the new asset.

Personalized Speech Synthesis For Voice Actions

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US Patent:
20160307569, Oct 20, 2016
Filed:
Apr 14, 2015
Appl. No.:
14/686670
Inventors:
- Mountain View CA, US
Jakob Nicolaus Foerster - Zurich, CH
Diego Melendo Casado - San Francisco CA, US
Fei Huang - New York NY, US
Francoise Beaufays - Mountain View CA, US
International Classification:
G10L 15/22
G10L 15/26
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting notifications in an enterprise system. In one aspect, a method include actions of obtaining a template that defines (i) trigger criteria for presenting a notification type and (ii) content rules for determining content to include in a notification of the notification type. Additional actions include accessing enterprise resources of an enterprise, the enterprise resources including data describing entities related to the enterprise and relationships among the entities. Further actions include, accessing user information specific to a user and determining that the trigger criteria is satisfied by the enterprise resources and the user information. Additional actions include generating a particular notification of the notification type based at least on the content rules and providing the particular notification to the user.
Fei Min Huang from San Francisco, CA Get Report