Chen Shya Chang

US Patent:

20190356397, Nov 21, 2019

Filed:

Nov 2, 2018

Appl. No.:

16/179578

Inventors:

- Austin TX, US
Chen Chang - Fremont CA, US
Charles G. Schroeder - Cedar Park TX, US
Ahsan Aziz - Austin TX, US
Paramjit S. Banwait - Fremont CA, US

International Classification:

H04B 17/17
H01Q 3/26
H04B 17/336

Abstract:

Various embodiments are presented of a system and method for testing (e.g., rapidly and cheaply) devices with antennas configured for radio frequency (RF) and/or millimeter wave (mmW) transmission and/or reception. A device to be tested (e.g., the device under test (DUT)) may be mounted to an interface in a measurement fixture (e.g., a socket, anechoic chamber, etc.). Power and data connections of the DUT may be tested over the interface, which may also provide connections for input/output signals, power, and control and may also provide positioning. RF characteristics (e.g., including transmission, reception, and/or beamforming) of the DUT may be tested over-the-air using an array of antennas or probes.

US Patent:

20140244327, Aug 28, 2014

Filed:

Feb 28, 2013

Appl. No.:

13/781569

Inventors:

Tyler Baldwin - Mountain View CA, US
Chen Chang - Mountain View CA, US
Joshua Richard VanGeest - Sunnyvale CA, US

International Classification:

G06Q 10/06
G06Q 50/00

US Classification:

705 713

Abstract:

Techniques for allocating sales representatives to potential new and/or existing customer accounts are described. With sonic embodiments, for each member of the social networking service in a pre-defined group of members (e.g., team of sales representatives), a social proximity score is derived to reflect a measure of how socially connected the member is to a target entity (e.g., company, school, government institution, or some other organization). The new or existing accounts are then allocated to various members in the pre-defined group, based at least in part on the social proximity scores.

US Patent:

20140244335, Aug 28, 2014

Filed:

Feb 28, 2013

Appl. No.:

13/781408

Inventors:

- Mountain View CA, US
Chen Chang - San Jose CA, US
Joshua Richard VanGeest - Sunnyvale CA, US
Mike Derezin - Alamo CA, US

Assignee:

LINKEDIN CORPORATION - MOUNTAIN VIEW CA

International Classification:

G06Q 10/06
G06Q 50/00

US Classification:

705 717

Abstract:

Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, for each member of the social networking service in a pre-defined group of members, a social proximity score is derived to reflect a measure of how socially connected the member is to a target entity (e.g., company, school, government institution, or some other organization). The social proximity score for each member-target entity pairing may be based on a variety of factors derived from analyzing the social graph, member profile information, and in some instances, the activity and behavior of the members.

US Patent:

20140244530, Aug 28, 2014

Filed:

Aug 30, 2013

Appl. No.:

14/015695

Inventors:

- Mountain View CA, US
Chen Chang - San Jose CA, US
Joshua Richard VanGeest - Sunnyvale CA, US
Mike Derezin - Alamo CA, US

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06Q 10/10
G06Q 50/00

US Classification:

705319

Abstract:

Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, an aggregate social proximity score is derived to reflect a measure of how well socially connected a person is to a set of organizations representing customer accounts of a business organization. Accordingly, the aggregate social proximity score can be used to compare candidates in a hiring decision, or to identify potential candidates during recruiting.

US Patent:

20140244531, Aug 28, 2014

Filed:

Aug 30, 2013

Appl. No.:

14/015751

Inventors:

- Mountain View CA, US
Chen Chang - San Jose CA, US
Joshua Richard VanGeest - Sunnyvale CA, US
Mike Derezin - Alamo CA, US

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06Q 10/10
G06Q 50/00

US Classification:

705319

Abstract:

Techniques for analyzing a social graph of a social networking service to derive a social proximity score representing a measure of how socially connected a member is to a target entity are described. With some embodiments, an aggregate social proximity score is derived to reflect a measure of how well socially connected a person is to a set of organizations representing customer accounts of a business organization. Accordingly, the aggregate social proximity score can be used to compare candidates in a hiring decision, or to identify potential candidates during recruiting.