Liang Zhang

US Patent:

8396822, Mar 12, 2013

Filed:

Dec 23, 2010

Appl. No.:

12/978186

Inventors:

Anirban Dasgupta - Berkeley CA, US
Liang Zhang - Fremont CA, US
Maxim Gurevich - Cupertino CA, US
Achint Oommen Thomas - Buffalo NY, US
Belle Tseng - Cupertino CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06N 5/02

US Classification:

706 50

Abstract:

Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

US Patent:

20130159227, Jun 20, 2013

Filed:

Feb 14, 2013

Appl. No.:

13/767695

Inventors:

Yahoo! Inc. - Sunnyvale CA, US
Liang Zhang - Fremont CA, US
Maxim Gurevich - Cupertino CA, US
Achint Oommen Thomas - Sunnyvale CA, US
Belle Tseng - Cupertino CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06N 99/00

US Classification:

706 12

Abstract:

Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

US Patent:

20140004511, Jan 2, 2014

Filed:

Apr 23, 2013

Appl. No.:

13/868661

Inventors:

Tyson A. Clark - Menlo Park CA, US
Liang Zhang - Chicago IL, US
Xingyu Lu - Chicago IL, US

Assignee:

University of Chicago - Chicago IL
Pacific Biosciences of California, Inc. - Menlo Park CA

International Classification:

C12Q 1/68

US Classification:

435 611

Abstract:

A method for identifying a 5-MeC in a template nucleic is provided. The method comprises providing a template having 5-MeC, converting the 5-MeC into a futher modification selected from 5-caC and 5-FC. The converted template is then sequenced, and a change in sequencing is detected that is indicative of the further modification, allowing for identifying the 5-MeC in the template nucleic acid.

US Patent:

20220321561, Oct 6, 2022

Filed:

Jun 22, 2022

Appl. No.:

17/808172

Inventors:

- Redmond WA, US
Dipesh BHATTARAI - Redmond WA, US
Peter Gregory DAVIS - Redmond WA, US
Jeffrey JOHNSON - Bellevue WA, US
Liang ZHANG - Redmond WA, US
Kiran KUMAR - Redmond WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

H04L 9/40
H04W 12/63

Abstract:

A communal computing device, such as an interactive digital whiteboard, can become unlocked if a user is near the device. The communal computing device may use a sensor such as a camera to capture images of a person and obtain an identifier from a personal device such as a smartphone. A cloud-based provider that is trusted by both the communal computing device and the personal device may associate both the image and the identifier of the personal device with the same user identity. Obtaining the user identity from multiple, different sources provides a secure technique for the communal computing device to recognize a user without the user directly interacting with the communal computing device. If the sensor no longer detects the user or the personal device is no longer detected, then the communal computing device may log off the user. The personal device may be used to confirm log off.

US Patent:

20220269951, Aug 25, 2022

Filed:

Feb 24, 2021

Appl. No.:

17/184505

Inventors:

- Sunnyvale CA, US
Liang ZHANG - Fremont CA, US
Ziyu LI - South San Francisco CA, US
Kaibo LIU - Sunnyvale CA, US
Boxiang LIU - Sunnyvale CA, US
Liang HUANG - Mountain View CA, US

Assignee:

Baidu USA LLC - Sunnyvale CA

International Classification:

G06N 3/12
A61K 39/215

Abstract:

A messenger RNA (mRNA) vaccine has emerged as a promising direction to combat the COVID-19 pandemic. This requires an mRNA sequence that is stable and highly productive in protein expression, features to benefit from greater mRNA secondary structure folding stability and optimal codon usage. Sequence design remains challenging due to the exponentially many synonymous mRNA sequences encoding the same protein. The present disclosure presents embodiments of a linear-time approximation (LinearDesign) reducing the design to an intersection between a Stochastic Context Free Grammar (SCFG) and a Deterministic Finite Automaton (DFA). Embodiments of the LinearDesign may implement an mRNA sequence design using much reduced time with very limited loss. Various methodologies, e.g., finding alternative sequences based on k-best parsing or directly incorporating codon optimality, are presented for incorporating the codon optimality into the design. Embodiments of the LinearDesign may provide efficient computational tools to speed up and improve mRNA vaccine development.

US Patent:

20220183655, Jun 16, 2022

Filed:

Mar 19, 2020

Appl. No.:

17/439830

Inventors:

- EINDHOVEN, NL
JAMES ROBERTSON JAGO - SEATTLE WA, US
SIBO LI - WALTHAM MA, US
SHIYING WANG - MELROSE MA, US
JUN SOEB SHIN - WINCHESTER MA, US
GERARD JOSEPH HARRISON - SNOHOMISH WA, US
THANASIS LOUPAS - KIRKLAND WA, US
LIANG ZHANG - ISSAQUAH WA, US

International Classification:

A61B 8/06
A61B 8/08
A61B 8/02
A61B 8/00

Abstract:

An ultrasonic diagnostic imaging system acquires volume image flow data sets of subvolumes of a blood vessel over at least a cardiac cycle. Image data of the subvolumes is then aligned both spatially and temporally to produce 3D images of the volume flow of the blood vessel over a heart cycle. A volume flow profile curve is produced from the acquired volume image flow data sets. The subvolumes are scanned starting with the center of the blood vessel and proceeding outward therefrom. The blood vessel center may be designated manually by a user or automatically by the ultrasound system by Doppler or other methods. Each subvolume is scanned over a heart cycle, with the systolic phase in the temporal center of the acquisition interval. The subvolumes are scanned in synchronism with the heart cycle and the estimation of a heart cycle is updated during each subvolume data acquisition interval.

US Patent:

20230073704, Mar 9, 2023

Filed:

Mar 5, 2021

Appl. No.:

17/908341

Inventors:

- EINDHOVEN, NL
Paul Sheeran - Woodinville WA, US
Thanasis Loupas - Kirkland WA, US
Liang Zhang - Issaquah WA, US

International Classification:

G06T 11/00
G06T 5/20
G06T 5/00
G06T 7/90
G06T 5/50

Abstract:

In some examples, color Doppler data may be separated into luminance data and chrominance data. The luminance data may be modified without modifying the chrominance data. In some examples, the luminance data may be adjusted based, at least in part, on power Doppler data. The adjusted luminance data may be recombined with the chrominance data to provide augmented color Doppler data. In some examples, the power Doppler data may be enhanced by filtering, for example, by applying a Frangi vesselness filter, prior to being used to adjust the luminance data of the color Doppler data.

US Patent:

20210319033, Oct 14, 2021

Filed:

Apr 9, 2020

Appl. No.:

16/844909

Inventors:

- Redmond WA, US
Liang Zhang - Fremont CA, US

International Classification:

G06F 16/2457
G06F 16/953
G06N 20/00
G06N 5/04

Abstract:

In an example embodiment, α-divergence is used to replace cross-entropy or KL-divergence as the loss function for learning-to-rank tasks in an online network. Additionally, in an example embodiment, entropy regularization is used to encourage score diversity for documents of the same relevance level. The result of both these approaches it to reduce or eliminate technical problems encountered using prior art techniques.