Yun Liu

US Patent:

6931345, Aug 16, 2005

Filed:

Oct 17, 2003

Appl. No.:

10/688550

Inventors:

Jonggook Kim - San Jose CA, US
Yun Liu - Sunnyvale CA, US
Joseph A. De Santis - San Jose CA, US

Assignee:

National Semiconductor Corporation - Santa Clara CA

International Classification:

G01R027/28
H01L029/72

US Classification:

702117, 257139, 257335, 257378, 257592, 438268

Abstract:

A method for quantifying safe operating regions within a safe operating area (SOA) for a bipolar junction transistor (BJT) by driving the device under test (DUT) as part of a current mirror circuit and monitoring variances in the current mirror ratio for various biasing conditions.

US Patent:

7422366, Sep 9, 2008

Filed:

Sep 10, 2004

Appl. No.:

10/939006

Inventors:

Jonggook Kim - San Jose CA, US
Yun Liu - Sunnyvale CA, US
Joseph A De Santis - San Jose CA, US

Assignee:

National Semiconductor Corporation - Santa Clara CA

International Classification:

G01K 7/01

US Classification:

374178, 324765, 374 1, 702 99

Abstract:

A current mirror method is provided that can be utilized to evaluate thermal issues is silicon-on-insulator (SOI) bipolar junction transistors (BJTs). The method significantly improves safe operating area (SOA) measurement sensitivity. Unlike conventional methods, the current mirror method can provide quantitative analysis of the BJTs thermal instability over a wide power range, even in the apparent SOA of the device. This method can also predict and evaluate SOA with respect to emitter ballast resistance and current crowding.

US Patent:

7440483, Oct 21, 2008

Filed:

Jan 11, 2007

Appl. No.:

11/652238

Inventors:

Vassili Kireev - Sunnyvale CA, US
Yun Liu - Oak Ridge TN, US
Vladimir Protopopescu - Knoxville TN, US
Yehuda Braiman - Oak Ridge TN, US

Assignee:

UT-Battelle, LLC - Oak Ridge TN
University of Tennessee Research Foundation - Knoxville TN

International Classification:

H01S 5/00

US Classification:

372 4401, 372 92, 372 99

Abstract:

The invention provides a cascaded injection resonator for coherent beam combining of laser arrays. The resonator comprises a plurality of laser emitters arranged along at least one plane and a beam sampler for reflecting at least a portion of each laser beam that impinges on the beam sampler, the portion of each laser beam from one of the laser emitters being reflected back to another one of the laser emitters to cause a beam to be generated from the other one of the laser emitters to the beam reflector. The beam sampler also transmits a portion of each laser beam to produce a laser output beam such that a plurality of laser output beams of the same frequency are produced. An injection laser beam is directed to a first laser emitter to begin a process of generating and reflecting a laser beam from one laser emitter to another laser emitter in the plurality. A method of practicing the invention is also disclosed.

US Patent:

8121042, Feb 21, 2012

Filed:

Jun 29, 2009

Appl. No.:

12/493665

Inventors:

Dazhi Wang - San Jose CA, US
Kishor S. Trivedi - Durham NC, US
Tilak C. Sharma - Tacoma WA, US
Anapathur V. Ramesh - Bothell WA, US
David William Twigg - Federal Way WA, US
Le P. Nguyen - Renton WA, US
Yun Liu - Lynnwood WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

H04J 1/16

US Classification:

370248, 370252

Abstract:

A computer-based method for determining a probability that no path exists from a specified starting node to a specified target node within a network of nodes and directional links between pairs of nodes is described. The nodes and directional links form paths of a reliability graph and the method is performed using a computer coupled to a database that includes data relating to the nodes and the directional links The method includes selecting a set of paths, from the set of all paths, between the starting node and the target node that have been determined to be reliable, calculating a reliability of the union of the selected path sets, setting an upper bound for the unreliability of the set of all paths, based on the calculated reliability, selecting a set of minimal cutsets from all such cutsets that lie between the starting node and the target node, calculating the probability of the union of the minimal cutsets, and setting a lower bound for the unreliability of the set of all cutsets.

US Patent:

20110145058, Jun 16, 2011

Filed:

Dec 15, 2009

Appl. No.:

12/638945

Inventors:

Yun Liu - Cupertino CA, US
Christopher Kenneth Orton - Redwood City CA, US
Ed Woo - Dublin CA, US

International Classification:

G06Q 10/00
G06Q 30/00
G06F 17/30
G06Q 50/00

US Classification:

705 1445, 705400, 707748, 707E17009

Abstract:

A system for keyword valuation is described. An example system includes a communications module, a valuation model selector, and a keyword value calculator. The communications module may be configured to receive a request for a value of a keyword. The valuation model selector may be configured to select a valuation model to be applied for determining the value of the keyword, based on an observed number of clicks associated with the keyword. The keyword value calculator may be configured to calculate the value of the keyword by applying the selected valuation model.

US Patent:

20220375428, Nov 24, 2022

Filed:

May 3, 2022

Appl. No.:

17/735846

Inventors:

- Cupertino CA, US
ByoungSuk Kim - Palo Alto CA, US
Yifan Zhang - San Carlos CA, US
Hoon Sik Kim - Los Gatos CA, US
Yun Liu - Santa Clara CA, US
Hao Chen - Santa Clara CA, US
Paul S Drzaic - Morgan Hill CA, US
Mahdi Farrokh Baroughi - Santa Clara CA, US

International Classification:

G09G 5/10
G06F 1/16
G06F 3/01

Abstract:

The present disclosure relates to systems and methods to control brightness or color in foldable displays. An electronic device may include a foldable electronic display and processing circuitry. The foldable electronic display may have a first part and a second part that are foldable at a folding angle with respect to one another. The processing circuitry may provide image data to the foldable electronic display that varies based at least in part on the folding angle.

US Patent:

20220359062, Nov 10, 2022

Filed:

Sep 11, 2020

Appl. No.:

17/620445

Inventors:

- Mountain View CA, US
Ayush Jain - Los Altos CA, US
Peggy Yen Phuong Bui - San Francisco CA, US
Clara Eng - San Carlos CA, US
David Henry Way - Redwood City CA, US
Kang Li - Sunnyvale CA, US
Vishakha Gupta - Sunnyvale CA, US
Jessica Gallegos - San Francisco CA, US
Dennis Ai - Redwood City CA, US
Yun Liu - Mountain View CA, US
David Coz - Mountain View CA, US
Yuan Liu - Santa Clara CA, US

International Classification:

G16H 30/40
G16H 50/20
G16H 10/60

Abstract:

The present disclosure is directed to a deep learning system for differential diagnoses of skin diseases. In particular, the system performs a method that can include obtaining a plurality of images that respectively depict a portion of a patient's skin. The method can include determining, using a machine-learned skin condition classification model, a plurality of embeddings respectively for the plurality of images. The method can include combining the plurality of embeddings to obtain a unified representation associated with the portion of the patient's skin. The method can include determining, using the machine-learned skin condition classification model, a skin condition classification for the portion of the patients skin, the skin condition classification produced by the machine-learned skin condition classification model by processing the unified representation, wherein the skin condition classification identifies one or more skin conditions selected from a plurality of potential skin conditions.

US Patent:

20210209762, Jul 8, 2021

Filed:

Mar 25, 2021

Appl. No.:

17/212811

Inventors:

- Mountain View CA, US
Dale R. Webster - San Mateo CA, US
Philip Charles Nelson - San Jose CA, US
Varun Gulshan - Chicago IL, US
Marc Adlai Coram - Stanford CA, US
Martin Christian Stumpe - Belmont CA, US
Derek Janme Wu - Mountain View CA, US
Arunachalam Narayanaswamy - Sunnyvale CA, US
Avinash Vaidyanathan Varadarajan - Los Altos CA, US
Katharine Blumer - Mountain View CA, US
Yun Liu - Mountain View CA, US
Ryan Poplin - Sunnyvale CA, US

International Classification:

G06T 7/00
G16H 50/30
G16H 50/20
G06N 3/04
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.