Jie Feng

US Patent:

8346662, Jan 1, 2013

Filed:

May 16, 2008

Appl. No.:

12/122573

Inventors:

Ayse Korgav - San Mateo CA, US
Raymond P. P. Chan - Mountain View CA, US
Jie Feng - Foster City CA, US
Michele Ann Colgan - Alameda CA, US

Assignee:

Visa U.S.A. Inc. - San Francisco CA

International Classification:

G06Q 40/00

US Classification:

705 40, 705 39, 705 42, 715706

Abstract:

A consumer installs a desktop application on a computer which renders a user interface on the computer's desktop. Upon installation, the desktop application is registered to receive offers and alerts. Each alert includes data for a transaction on an account conducted with a merchant where the account was issued by an issuer to an account holder to conduct transactions on the account with merchants. A received alert is rendered on the desktop. If the consumer, upon review of the rendered alert, deems the corresponding transaction to be fraudulent, the consumer can operate the user interface to activate a live chat with a web service, and use the live chat to send information sufficient to initiate a bona fide dispute of the transaction. The offers are rendered on the user interface as advertisement and are selectable to initiate a transaction on the account.

US Patent:

20130054463, Feb 28, 2013

Filed:

Aug 15, 2012

Appl. No.:

13/586752

Inventors:

Ray Olson - Half Moon Bay CA, US
David White - Oakland CA, US
Shaun Bodington - San Leandro CA, US
Jie Feng - Foster City CA, US

International Classification:

G06Q 20/38
G06Q 20/40

US Classification:

705 44, 705 39

Abstract:

Embodiments of the present invention include a dynamic and auditable rules-based spend requirement management (SRM) server configured to receive transaction data associated with a payment transaction involving an issuer of an account, where the account is associated with a first set of account level requirements (e.g., a minimum spend requirement) and a first interchange rate. The SRM is further configured to determine that the transaction data is not within the first set of account level requirements, but is within a second set of account level requirements associated with a second interchange rate, and associate the account to the second set of account level requirements by way of a final product identifier stored in a database accessible by a payment processing network (PPN).

US Patent:

20220328366, Oct 13, 2022

Filed:

May 6, 2022

Appl. No.:

17/738937

Inventors:

- Santa Clara CA, US
Jie Feng - Milpitas CA, US
Dermot Cantwell - Sunnyvale CA, US

International Classification:

H01L 21/66
G06Q 50/04
H01L 21/67
G06N 3/08
H01L 21/02

Abstract:

A method includes: receiving film property data associated with manufacturing parameters of manufacturing equipment; determining that the film property data is correlated and is different from target data; selecting, by a processing device, a set of data points of the film property data that are orthogonal to the target data; performing, by the processing device, feature extraction on the set of data points; and determining, based on the feature extraction, updates to one or more of the manufacturing parameters to meet the target data.

US Patent:

20210365770, Nov 25, 2021

Filed:

May 21, 2020

Appl. No.:

16/880069

Inventors:

- Santa Clara CA, US
Dermot Cantwell - Sunnyvale CA, US
Serghei Malkov - Hayward CA, US
Jie Feng - Milpitas CA, US

International Classification:

G06N 3/08
G06N 3/04
G05B 13/02
G05B 19/418

Abstract:

Disclosed herein is technology for performing predictive modeling to identify inputs for a manufacturing process. An example method may include receiving expected output data for a manufacturing process, wherein the expected output data defines an attribute of an output of the manufacturing process; accessing a plurality of machine learning models that model the manufacturing process; determining, using a first machine learning model, input data for the manufacturing process based on the expected output data for the manufacturing process, wherein the input data comprises a value for a first input and a value for a second input; combining the input data determined using the first machine learning model with input data determined using the second machine learning model to produce a set of inputs for the manufacturing process, wherein the set of inputs comprises candidate values for the first input and candidate values for the second input.

US Patent:

20200193531, Jun 18, 2020

Filed:

Oct 11, 2019

Appl. No.:

16/599962

Inventors:

- Santa Clara CA, US
Jie Feng - Milpitas CA, US
Dermot Cantwell - Sunnyvale CA, US

International Classification:

G06Q 50/04
G06N 3/08
H01L 21/67

Abstract:

Methods, systems, and non-transitory computer readable medium are described for prescriptive analytics in highly collinear response space. A method includes receiving film property data associated with manufacturing parameters of manufacturing equipment. The method further includes determining that the film property data is correlated and is different from target data. The method further includes selecting a set of data points of the film property data that are orthogonal to the target data. The method further includes performing feature extraction on the set of data points. The method further includes determining, based on the feature extraction, updates to one or more of the manufacturing parameters to meet the target data.

US Patent:

20170220230, Aug 3, 2017

Filed:

Feb 3, 2016

Appl. No.:

15/014765

Inventors:

- San Jose CA, US
Scott D. Cohen - Sunnyvale CA, US
Jie Feng - New York NY, US

International Classification:

G06F 3/0484
G06T 11/60

Abstract:

User input-based object selection using multiple visual cues is described. User selection input is received for selecting a portion of an image. Once the user selection input is received, one of a plurality of visual cues that convey different information about content depicted in the image is selected for each pixel. The one visual cue is selected as a basis for identifying the pixel as part of the selected portion of the image or part of an unselected remainder of the image. The visual cues are selected by determining confidences, based in part on the user selection input, that the plurality of visual cues can be used to discriminate whether the pixel is part of the selected portion or part of the remainder. The information conveyed by the selected visual cues is used to identify the pixels as part of the selected portion or part of the remainder.

US Patent:

20170154244, Jun 1, 2017

Filed:

Dec 16, 2016

Appl. No.:

15/381463

Inventors:

- Palo Alto CA, US
Nityananda Jayadevaprakash - San Jose CA, US
David Creighton Mott - Los Altos CA, US
Jie Feng - New York NY, US

International Classification:

G06K 9/62
G06K 9/46
G06K 9/00
G06T 7/90

Abstract:

The subject technology provides embodiments for performing fast corner detection in a given image for augmented reality applications. Embodiments disclose a high-speed test that examines intensities of pairs of pixels around a candidate center pixel. In one example, the examined pairs are comprised of pixels that are diametrically opposite ends of a circle formed with the candidate center pixel. Further, a pyramid of images including four rings of surrounding pixels is generated. An orientation of the pixels from the four rings are determined and a vector of discrete values of the pixels are provided. Next, a forest of trees are generated for the vector of discrete values corresponding to a descriptor for a first image. For a second image including a set of descriptors, approximate nearest neighbors are determined from the forest of tree representing closest matching descriptors from the first image.

US Patent:

20160292058, Oct 6, 2016

Filed:

Apr 1, 2015

Appl. No.:

14/675884

Inventors:

- Playa Vista CA, US
Jonathan DiVincenzo - Los Angeles CA, US
Jie Feng - Los Angeles CA, US

International Classification:

G06F 11/263
G06F 11/22
H04L 12/26
H04L 29/06

Abstract:

Some embodiments dynamically test capacity of a streaming server under test (SUT). The dynamic testing involves a test server generating different test scenarios. Each test scenario specifies a mix of different streaming protocols, content streams, and content stream upload to download ratio. The test server tests the SUT with a gradually increasing traffic load from each test scenario while monitoring SUT performance under each load. The test server records each load from each test scenario under which the SUT becomes saturated. The test server produces a grid mapping the observed SUT saturation points to the test loads that caused them. The grid is used when the SUT is deployed to a production environment to determine if SUT saturation is imminent based on current traffic patterns being serviced by the SUT in the production environment. If so, a remedial action is dynamically performed to prevent the saturation from occurring.