Hao Sun

US Patent:

20100211548, Aug 19, 2010

Filed:

Feb 17, 2009

Appl. No.:

12/371935

Inventors:

Michael James Ott - Redmond WA, US
David Robert Shutt - Seattle WA, US
Hao Sun - Sammamish WA, US
Ramesh T. Bangalore - Redmond WA, US
Douglas William Wood - Issaquah WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30
G06F 12/16

US Classification:

707655, 707E17005, 707E17009, 707781

Abstract:

A hosted multi-tenant application is provided that permits a tenant to self-manage aspects of the operation of the application. A tenant may be permitted to upgrade the multi-tenant application on-demand or according to a schedule, to place the multi-tenant application into a read-only mode of operation, to create a shadow copy of their unshared organization database, to merge changes to a shadow copy into a master version of the unshared organization database, to create and revert to snapshots of an unshared organization database, and to perform other functions. A computing architecture that utilizes site-wide server computers and scale groups may be utilized to implement this functionality.

US Patent:

20130124916, May 16, 2013

Filed:

Nov 16, 2011

Appl. No.:

13/298263

Inventors:

David R. Shutt - Seattle WA, US
Syed Mohammad Amir Ali Jafri - Seattle WA, US
Chris Shoring - Sammamish WA, US
Daniel Lorenc - Bellevue WA, US
William P. Munns - Bellevue WA, US
Matios Bedrosian - Bothell WA, US
Chandra Akkiraju - Bothell WA, US
Hao Sun - Sammamish WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 11/20

US Classification:

714 63, 714E11089

Abstract:

A plurality of data centers each having a plurality of servers. When there is a failure on a data center, the load for the failed portion of the data center is distributed over all the remaining servers locally, or remotely, based on the magnitude of the failure.

US Patent:

20220246995, Aug 4, 2022

Filed:

Jul 2, 2020

Appl. No.:

17/623834

Inventors:

- Stanford CA, US
Hao SUN - Stanford CA, US
Yuanyao LI - Stanford CA, US

Assignee:

THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY - Stanford CA

International Classification:

H01M 10/36
H01M 10/44
H01M 4/04
H01M 10/052
H01M 10/054
H01M 10/0568
H01M 10/0569
H01M 4/38

Abstract:

Provided herein are rechargeable alkali metal batteries comprising: an anode including an alkali metal; a cathode; and an electrolyte to support reversible plating and stripping of the alkali metal at the anode, wherein the electrolyte includes alkali metal ions, chloroaluminate anions (AlClri), and an additive including imide anions.

US Patent:

20220193076, Jun 23, 2022

Filed:

Jan 24, 2020

Appl. No.:

17/310212

Inventors:

- Bothell WA, US
Christopher J. ENDRES - Bothell WA, US
Anthony Jaeyong LEE - Bothell WA, US
Hao SUN - Bothell WA, US

International Classification:

A61K 31/517
A61K 31/155
A61K 31/7068
A61K 39/395

Abstract:

The invention provides tucatinib and its use in methods of treating cancer, such as breast cancer. The invention also provides compositions and kits comprising tucatinib for use in treating cancer, such as breast cancer.

US Patent:

20230048095, Feb 16, 2023

Filed:

Dec 29, 2020

Appl. No.:

17/790032

Inventors:

- Stanford CA, US
Hao Sun - Stanford CA, US

Assignee:

The Board of Trustees of the Leland Stanford Junior University - Stanford CA

International Classification:

H01M 10/0568
H01M 10/0567
H01M 10/052

Abstract:

Disclosed herein are ionic liquid electrolytes comprising lithium cations, sodium cations, organic cations, and fluorinated anions, wherein a concentration of the lithium cations is about 1.3 M or greater. Also disclosed are batteries comprising an anode, a cathode, and the electrolyte of this disclosure disposed between the anode and the cathode.

US Patent:

20210256669, Aug 19, 2021

Filed:

Apr 7, 2021

Appl. No.:

17/224830

Inventors:

- Cupertino CA, US
Alok Deshpande - Mountain View CA, US
Anita Nariani Schulze - Los Altos CA, US
Hao Sun - San Jose CA, US
Jun Hu - Sunnyvale CA, US
Morten Poulsen - Palo Alto CA, US
Tak Shing Wong - Pleasanton CA, US
Wu Cheng - Millbrae CA, US

International Classification:

G06T 5/00
G06K 9/46
H04N 5/235

Abstract:

Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV images, EV− images, EV+ images, long exposure (or synthetic long exposure) images, EV/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.

US Patent:

20190370948, Dec 5, 2019

Filed:

May 30, 2019

Appl. No.:

16/426448

Inventors:

- Cupertino CA, US
Alok Deshpande - Mountain View CA, US
Anita Nariani Schulze - Los Altos CA, US
Hao Sun - San Jose CA, US
Jun Hu - Sunnyvale CA, US
Morten Poulsen - Palo Alto CA, US
Tak Shing Wong - Pleasanton CA, US
Wu Cheng - Millbrae CA, US

International Classification:

G06T 5/00
G06K 9/46
H04N 5/235

Abstract:

Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.