Yan Yan

7059868, Jun 13, 2006

Mar 3, 2003

10/378268

Yan Yan - Fremont CA, US

Western Digital (Fremont), Inc. - Lake Forest CA

H01R 12/00

439 67, 3602459

A system and method for connecting flexible circuitry in a disk drive system such as that used in computer systems. The system and method allow a large number of traces to be connected in a small area by forming male and female connector portions at an end of a mating pair of traces. the male and female portions are formed using conventional flexible circuit fabrication techniques, making possible very accurate control of very small built-in type connectors. The connection can be uncoupled and re-coupled, and added security of attachment can be achieved through the use of ultra-sonic bonding and use of a mechanical clamp.

60259884, Feb 15, 2000

Dec 17, 1998

9/213472

Yan Yan - San Jose CA

Read-Rite Corporation - Milpitas CA

H05K 6330

361685

In a disk drive, an interconnect adapter for coupling a head of a suspension assembly to front-end read/write circuitry includes a pad set with a plurality of specially designed pads. The pads are formed with an integrated frame and multiple tabs. The tabs enable removal and replacement of the pad set from the suspension assembly to enable suspension assembly rework. The interconnect adapter is designed to adapt to polarity specifications of various head and read/write circuitry designs. The pad set design is configured for connection with a variety of traces, with a piezoelectric microactuator, pre-amplification circuitry, and any of a variety of heads.

20220206650, Jun 30, 2022

Mar 21, 2022

17/655703

- Mountain View CA, US
Sabrina Silk Billinghurst - Mountain View CA, US
Yuan Hang Li - Milpitas CA, US
Daniel Holle - San Francisco CA, US
Yan Yan - Cupertino CA, US
Jorge Taketoshi Furuya Mariche - Cupertino CA, US
Jia Wei Tam - Seattle WA, US
Stefan Day Dierauf - Kirkland WA, US
Rasekh Rifaat - Kirkland WA, US
Ian Douglas Barlow - Mountain View CA, US

G06F 3/0488
B60K 37/06
B60Q 9/00
B60W 40/09

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

20210070221, Mar 11, 2021

Nov 9, 2020

17/093398

- Mountain View CA, US
Sabrina Silk Billinghurst - Mountain View CA, US
Yuan Hang Li - Milpitas CA, US
Daniel Holle - San Francisco CA, US
Yan Yan - Cupertino CA, US
Jorge Taketoshi Furuya Mariche - Cupertino CA, US
Jia Wei Tam - Seattle WA, US
Stefan Day Dierauf - Kirkland WA, US
Rasekh Rifaat - Kirkland WA, US
Ian Douglas Barlow - Mountain View CA, US

B60Q 9/00
G06F 3/0488
B60W 40/09
B60K 37/06

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

20200079289, Mar 12, 2020

Nov 11, 2019

16/680167

- Mountain View CA, US
Sabrina Silk Billinghurst - Mountain View CA, US
Yuan Hang Li - Milpitas CA, US
Daniel Holle - San Francisco CA, US
Yan Yan - Cupertino CA, US
Jorge Taketoshi Furuya Mariche - Cupertino CA, US
Jia Wei Tam - Seattle WA, US
Stefan Day Dierauf - Kirkland WA, US
Rasekh Rifaat - Kirkland WA, US
Ian Douglas Barlow - Mountain View CA, US

B60Q 9/00
G06F 3/0488
B60W 40/09
B60K 37/06

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

20190050813, Feb 14, 2019

Aug 8, 2017

15/671144

- Sunnyvale CA, US
Xianren Wu - San Jose CA, US
Bo Hu - Mountain View CA, US
Yan Yan - San Jose CA, US
Ketan Thakkar - Santa Clara CA, US
Shan Zhou - San Jose CA, US
Anish Ramdas Nair - Mumbai, IN
Patrick Cheung - San Francisco CA, US

G06Q 10/10
G06N 99/00
G06F 17/30

Disclosed in some examples are methods, systems, and machine readable mediums which provide for retrieval, ranking, and display of candidates that are more likely to respond to employment inquiries in an employment search graphical user interface (GUI). The system may employ a machine learning algorithm which may calculate a score for each member of the social networking service that predicts, based upon one or more features how likely the individual is to respond to a message. In some examples, the candidates that are determined to be more likely to respond may be presented as a selectable option in the GUI.

20190052720, Feb 14, 2019

Aug 8, 2017

15/671148

- Sunnyvale CA, US
Xianren Wu - San Jose CA, US
Yan Yan - San Jose CA, US
Bo Hu - Mountain View CA, US
Ketan Thakkar - Santa Clara CA, US
Shan Zhou - San Jose CA, US
Anish Ramdas Nair - Mumbai, IN
Patrick Cheung - San Francisco CA, US

H04L 29/08
G06F 17/30

Disclosed in some examples are methods, systems, and machine readable mediums which provide for retrieval, ranking, and display of candidates that are more likely to respond to employment inquiries in an employment search graphical user interface (GUI). The system may employ a machine learning algorithm which may calculate a score for each member of the social networking service that predicts, based upon one or more features how likely the individual is to respond to a message. In some examples, the candidates that are determined to be more likely to respond may be presented as a selectable option in the GUI.

20190013845, Jan 10, 2019

Aug 23, 2018

16/110397

- Menlo Park CA, US
Sam Padinjaremannil Alex - Dublin CA, US
Ali YAZDAN - San Francisco CA, US
Abhishek Tiwari - Woodland Hills CA, US
Yan Yan - Culver City CA, US
Hongyu Zhou - Canoga Park CA, US
Pratheep Bondalapati - Woodland Hills CA, US

H04B 7/0456
H01Q 1/28
H04B 7/06
H04B 7/08

Apparatuses, methods, and systems for MIMO inter-stream interference cancellation are disclosed. One method includes determining a channel matrix between a plurality of transmitting antennas of a transmitter and a plurality of receiving antennas of a receiver, determining a plurality of channel propagation delays based on a propagation delay between each of the plurality of transmitting antennas and each of the plurality of receiving antennas, determining differences in the plurality of channel propagation delays, preprocessing, by the transmitter, streams of symbols for each transmitting antenna for transmission based on the differences in the plurality of channel propagation delays and based on the channel matrix, and transmitting, by the transmitter, the preprocessed symbol streams through the plurality of transmitting antennas.