Ying Xu

7535193, May 19, 2009

Jun 18, 2007

11/764486

Ying Xu - San Ramon CA, US

Xradia, Inc. - Concord CA

B64C 17/06

318649, 318648, 318652, 318135, 310311

A rotating stage assembly performs high precision rotational angle and position error correction by continuous sensing and correcting motor stage assembly errors. It performs these corrections, to adjust for motor environmental and operational errors by sensing and correcting using five sensors placed to measure the adjustments of five corresponding actuators, which adjust the entire motor rotating stage and rotary motor assembly relative to a reference frame.

8267388, Sep 18, 2012

Sep 12, 2007

11/853901

Ying Xu - San Ramon CA, US

Xradia, Inc. - Pleasanton CA

B23Q 3/18
B25B 1/10
B25B 5/10
B25B 5/00
B27B 5/18
B27B 27/06
B27B 3/28
B27B 27/04
B26D 1/18
H01L 21/68

269 60, 269 63, 269 64, 269243, 269246, 834772, 834713

Alignment assembly is used to center a sample on a moving stage system. The alignment assembly includes a pair of slides stacked on a stage with linear perpendicular movement relative to each other, and at least one actuator that is preferably physically separate from the linear slides and stage. The actuator(s) repeatedly extend an actuator arm to move the linear slides, and retract the arm for subsequent movement of the stage during and after the process of centering the sample in two dimensions on the stage. Either the stage system rotates, or multiple actuators are placed to move the alignment system in perpendicular directions relative to the stage, by repeatedly contacting only the top linear slide.

7262208, Aug 28, 2007

Apr 30, 2003

10/427106

John A. Tucker - San Mateo CA, US
Brian A. Sherer - Ballston Spa NY, US
Ying Zi Xu - Palo Alto CA, US
Louis Brogley - Santa Cruz CA, US
Shon R. Pulley - Hickory Corners MI, US
Jon S. Jacobs - Kalamazoo MI, US
James P. Beck - Kalamazoo MI, US
Varghese John - San Francisco CA, US

Elan Pharmaceuticals, Inc. - So. San Francisco CA
Pharmacia & Upjohn Company - Kalamazoo MI

A61K 31/445
C07D 211/06

514330, 546226, 546210, 546316, 548240, 548250, 5483351, 548470, 549 74, 564152, 514378, 514416, 514588, 514616

The present invention relates to compounds of formula (I):.

20070038718, Feb 15, 2007

Oct 17, 2006

11/581980

Justin Khoo - Milpitas CA, US
Ying Xu - Foster City CA, US

G06F 15/16

709206000

Methods for enhancing e-mail messages to provide preview enhanced e-mail messages that allow e-mail senders to associate customized preview content related to an e-mail message, including graphical images, that can be viewed by recipients directly from an e-mail inbox listing without opening the e-mail message itself. The e-mail messages have associated preview instructions, and have a preview trigger that upon actuation opens a temporary preview window on the inbox view and displays the preview content in accordance with the preview instructions while the preview trigger is actuated. The invention is applicable to web-based e-mail systems as well as to POP-based and proprietary e-mail systems.

20090063698, Mar 5, 2009

Sep 4, 2007

11/849782

Ying Xu - Emeryville CA, US
Michelle Christine Munson - Berkeley CA, US
Serban Simu - Oakland CA, US

G06F 15/173

709233

A virtual link bandwidth control scheme is described that is a software-based mechanism for achieving distributed and coordinated bandwidth control. The scheme can be seamlessly integrated with the data transfer protocols utilizing queuing delay as part of rate control mechanism for data transfer and allows multiple processes to self-limit their transfer speeds, so that the aggregate rate stabilizes at a pre-configured level below the physical bottleneck capacity.

20100228878, Sep 9, 2010

Mar 5, 2010

12/718233

Ying Xu - Emeryville CA, US
Michelle Christine Munson - Berkeley CA, US
Serban Simu - Oakland CA, US

Aspera, Inc. - Emeryville CA

G06F 15/16

709233

Described is an I/O driven, feedback based rate control mechanism that allows a transfer session to self-adjust its transfer rate in response to the speed of the storage device at the destination. The described system may operate at the application layer, which makes cross-platform deployment an easier task

20220382565, Dec 1, 2022

Jun 1, 2021

17/335596

- Mountain View CA, US
Xiaoxue Zang - Santa Clara CA, US
Ying Xu - Bellevue WA, US
Lijuan Liu - San Jose CA, US
Nevan Holt Wichers - Mountain View CA, US
Gabriel Overholt Schubiner - New York NY, US
Jindong Chen - Hillsborough CA, US
Abhinav Kumar Rastogi - Sunnyvale CA, US
Blaise Aguera-Arcas - Seattle WA, US
Zecheng He - Princeton NJ, US

G06F 9/451
G06N 20/00
G06N 3/04
G06K 9/62

Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

20210352573, Nov 11, 2021

Nov 19, 2020

16/952781

- Mountain View CA, US
Brian Williammee - Palo Alto CA, US
Xinruo Sun - Sunnyvale CA, US
Xuan Zheng - San Jose CA, US
Austin Small - San Francisco CA, US
Ziyi Jin - Kitchener, CA
Nathan Harold - Sunnyvale CA, US
Ying Xu - Campbell CA, US

H04W 48/16
H04W 36/30
H04W 24/02

A network scan may be performed, and the best network may be selected in real time in the device after evaluating all available carriers whose network information is gathered by network scanning The network scan enables the device to fairly compare the connectivity of the available carrier services and can be used to improve the on-device network selection. The network scan may be further used in order to ensure the existence of a better carrier service before switching. Accordingly, this may reduce unnecessary poor switches to networks having lower quality connections and increase good switches to networks having better quality. The present disclosure provides for determining when to run network scan and how to use the scan results to make the cell network selection decision.