Yonghui H Chen

US Patent:

20110055074, Mar 3, 2011

Filed:

Sep 2, 2009

Appl. No.:

12/553047

Inventors:

Yonghui Chen - San Diego CA, US
Gregory Gancarz - San Diego CA, US
Scott M. Zoldi - San Diego CA, US

International Classification:

G06Q 40/00
G06F 3/048

US Classification:

705 39, 715772

Abstract:

A computer-implemented method and system for visualizing card transaction fraud analysis is presented. Transaction data and account data related to one or more payment card accounts is stored in a database. The transaction data includes a fraud score. A computer processor generates one or more of a plurality of visualizations of activity of at least one suspicious account from the one or more payment card accounts for display in a graphical user interface, each of the plurality of visualizations providing at least a graphical representation of the transaction data and which is selectable from a menu provided by the computer processor in the graphical user interface. The visualizations assist in case judgment of the one or more payment cards.

US Patent:

20220215498, Jul 7, 2022

Filed:

Mar 21, 2022

Appl. No.:

17/700434

Inventors:

- Seoul, KR
Yonghui CHEN - San Diego CA, US

International Classification:

G06Q 50/26
G06F 16/215
G06Q 30/00

Abstract:

Systems and method are provided for fraud detection and user account deduplication. One method includes receiving a request from a user to register a third user account; receiving user information associated with the third user account, wherein the user information comprises a second attribute; at a third time entry, modifying the first data store by: searching the plurality of first entries in the first data store; comparing the second attribute to the first attribute of each first entry; determining that at least one first entry comprises a first attribute that is identical to the second attribute; adding second and third entries, wherein the second entry comprises the first and third user accounts, the second attribute, and the first and third time entries; and the third entry comprises the second and third user accounts, the second attribute, and the second and third time entries.

US Patent:

20210390631, Dec 16, 2021

Filed:

Sep 21, 2020

Appl. No.:

17/026355

Inventors:

- Seoul, KR
Yonghui Chen - San Diego CA, US

International Classification:

G06Q 50/00
H04L 29/08
G06Q 30/02
G06Q 10/10

Abstract:

Systems and method are provided for tracking online communities. One method includes at a first time, sorting the plurality of users by: determining that a group of the plurality of users belongs to a community, wherein the community has a community identification of zero; labeling each user in the group with the community identification of zero; labeling each user in the group with an algorithm identification, wherein the algorithm identification is associated with the community; determining that that one user of the group is a core user; and increasing the community identification counter by one; repeat the sorting until each user of the plurality of users is labeled with a community identification and an algorithm identification; and generate a community dynamics analysis based on the sorting of the plurality of users.

US Patent:

20210374890, Dec 2, 2021

Filed:

May 27, 2020

Appl. No.:

16/884394

Inventors:

- Seoul, KR
Yonghui Chen - San Diego CA, US

International Classification:

G06Q 50/26
G06Q 30/00
G06F 16/215

Abstract:

Systems and method are provided for fraud detection and user account deduplication. One method includes receiving a request from a user to register a third user account; receiving user information associated with the third user account, wherein the user information comprises a second attribute; at a third time entry, modifying the first data store by: searching the plurality of first entries in the first data store; comparing the second attribute to the first attribute of each first entry; determining that at least one first entry comprises a first attribute that is identical to the second attribute; adding second and third entries, wherein the second entry comprises the first and third user accounts, the second attribute, and the first and third time entries; and the third entry comprises the second and third user accounts, the second attribute, and the second and third time entries.

US Patent:

20210248613, Aug 12, 2021

Filed:

Apr 28, 2021

Appl. No.:

17/242404

Inventors:

- Seoul, KR
Yonghui CHEN - San Diego CA, US

Assignee:

Coupang Corp. - Seoul

International Classification:

G06Q 20/40
G06N 3/04
G06F 9/54
G06F 16/2455
G06F 17/15

Abstract:

A system for generating alerts including processors and storage devices. The instructions configure the one or more processors to perform operations, which include receiving an event from a data stream, extracting keys from the event, associating the event with at least one account based on the extracted keys, identifying a state variable associated with the at least one account, updating the state variable by accumulating the event in the state variable, registering a time stamp for the event in the state variable, and retiring expired events from the state variable, The operations may also include determining whether the state variable is above a threshold level and generating an alert for the account when the state variable is above the threshold level.

US Patent:

20210029081, Jan 28, 2021

Filed:

Jul 25, 2019

Appl. No.:

16/522171

Inventors:

- Seoul, KR
Yonghui CHEN - San Diego CA, US

International Classification:

H04L 29/12
H04L 29/08

Abstract:

Methods and systems for dynamic IP categorization include receiving electronic requests to access an electronic server; logging a first set of requests occurring during a first period of time and originating from an IP address belonging to a set of IP addresses; assigning the set of IP addresses to a first category according to the first set of requests; logging a second set of requests occurring during a second period of time and originating from the first IP address or a second IP address belonging to the set of IP addresses; determining a second category according to the second set of requests; assigning the set of IP addresses to the second category when the first category and the second category differ; and providing a response to a requesting IP address based on the category associated with the set of IP addresses to which the requesting IP address belongs.

US Patent:

20200402058, Dec 24, 2020

Filed:

Jun 20, 2019

Appl. No.:

16/447904

Inventors:

- Seoul, KR
Yonghui CHEN - San Diego CA, US

International Classification:

G06Q 20/40
G06N 3/04
G06F 17/15
G06F 16/2455
G06F 9/54

Abstract:

A system for generating alerts including processors and storage devices. The instructions configure the one or more processors to perform operations, which include receiving an event from a data stream, extracting keys from the event, associating the event with at least one account based on the extracted keys, identifying a state variable associated with the at least one account, updating the state variable by accumulating the event in the state variable, registering a time stamp for the event in the state variable, and retiring expired events from the state variable. The operations may also include determining whether the state variable is above a threshold level and generating an alert for the account when the state variable is above the threshold level.

US Patent:

20190340514, Nov 7, 2019

Filed:

Jul 15, 2019

Appl. No.:

16/511743

Inventors:

- Jersey City NJ, US
Yonghui Chen - San Diego CA, US
Lujia Chen - Shanghai, CN

International Classification:

G06N 5/00

Abstract:

A system and method for generating ultimate reason codes for computer models is provided. The system for generating ultimate reason codes for computer models comprising a computer system for receiving a data set, and an ultimate reason code generation engine stored on the computer system which, when executed by the computer system, causes the computer system to train a base model with a plurality of reason codes, wherein each reason code includes one or more variables, each of which belongs to only one reason code, train a subsequent model using a subset of the plurality of reason codes, determine whether a high score exists in the base model, determine a scored difference if a high score exists in the base model, and designate a reason code having a largest drop of score as an ultimate reason code.