Heng Living Zhang

US Patent:

7097101, Aug 29, 2006

Filed:

Oct 27, 2003

Appl. No.:

10/694425

Inventors:

Eduard Kogan - Howard Beach NY, US
Joseph Giordano - Bayville NY, US
Andrei Shamkovich - New York NY, US
Heng Zhang - Holbrook NY, US

Assignee:

Symbol Technologies, Inc. - Holtsville NY

International Classification:

G06K 7/10

US Classification:

235454, 235435, 23546215, 23546221, 23546223, 23546237, 23546245, 23547201, 23547202, 23547203

Abstract:

An optical code reader having means for focusing an imaging optics assembly on a target image. The optical code reader includes a chassis and an imaging optics assembly pivotally mounted on the chassis. The imaging optics assembly is housed within an opto-mechanical barrel assembly. Pivotal movement of the opto-mechanical barrel assembly adjusts the focus of the imaging optics assembly on a target image. The optical code reader further includes an illumination device and an aiming device.

US Patent:

7627542, Dec 1, 2009

Filed:

Sep 22, 2006

Appl. No.:

11/534616

Inventors:

Jeremy Tantrum - Shoreline WA, US
Heng Zhang - Bellevue WA, US
Teresa B. Mah - Bellevue WA, US
Benyu Zhang - Beijing, CN
Abhinai Srivastava - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 15/18
G06E 1/00
G06G 7/00

US Classification:

706 20

Abstract:

A method and system are provided for identifying groups in large-scale networks. The large-scale networks include a collection of nodes and edges that may represent relationships between entities or individuals. The large-scale network is split into a number of fractions satisfying an edge threshold. In turn, the nodes in each fraction are merged to generate one or more clusters based on a specified similarity metric. The large-scale network is recursively split and clustered until distinct groups are identified.

US Patent:

8161065, Apr 17, 2012

Filed:

Nov 17, 2009

Appl. No.:

12/620341

Inventors:

Dou Shen - Redmond WA, US
Yi Zhang - Redmond WA, US
Heng Zhang - Redmond WA, US
Sahil Thaker - Issaquah WA, US
Valeri Liborski - Woodinville WA, US
Ying Li - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707769

Abstract:

Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate advertisement selection using advertising units. An entity that is a sequence of two or more words is referenced. The entity includes substrings comprising a portion of the entity. Search data in association with the entity is compared to corresponding search data in association with the substrings of the entity. Based on the comparison, it is determined that the entity comprises an advertisable unit that functions as a unit for purposes of selecting an advertisement for display. The advertisable unit is used to select an advertisement to be presented to the user.

US Patent:

8359276, Jan 22, 2013

Filed:

Sep 20, 2006

Appl. No.:

11/533742

Inventors:

Dong Zhuang - Beijing, CN
Benyu Zhang - Beijing, CN
Heng Zhang - Bellevue WA, US
Jeremy Tantrum - Shoreline WA, US
Teresa Mah - Bellevue WA, US
Hua-Jun Zeng - Beijing, CN
Zheng Chen - Beijing, CN
Jian Wang - Beijing, CN

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06Q 99/00

US Classification:

705319

Abstract:

An influential persons identification system and method for identifying a set of influential persons (or influencers) in a social network (such as an online social network). The influential persons set is generated such that by sending a message to the set the message will be propagated through the network at the greatest speed and coverage. A ranking of users is generated, and a pruning process is performed starting with the top-ranked user and working down the list. For each user on the list, the user is identified as an influencer and then the user and each of his friends are deleted from the social network users list. Next, the same process is performed for the second-ranked user, the third-ranked user, and so forth. The process terminates when the list of users of the social network is exhausted or the desired number of influencers on the influential person set is reached.

US Patent:

20080104225, May 1, 2008

Filed:

Nov 1, 2006

Appl. No.:

11/555279

Inventors:

Heng Zhang - Bellevue WA, US
Benyu Zhang - Beijing, CN
Teresa Mah - Bellevue WA, US
Dong Zhuang - Beijing, CN
Jeremy Tantrum - Shoreline WA, US
Ying Li - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 15/173
G06F 15/177

US Classification:

709224, 709223, 715734

Abstract:

A social network visualization and mining system that includes a visualization application for mining social networks of users in an online social network. This visualization can be used to mine the social network for additional information and intelligence. The social network is displaying in graphical form, such as a node-link graph, with a center node representing the social network of a user being examined, and secondary nodes represent the primary user's friends. Lines represent links between the primary user and his friends, while various visualization features such as line thickness, line color, and text size are used to easily identify the type of relationship between users. The system also includes a topics visualization module, which builds and displays a social network based on a certain topic or keyword that is entered by the application user. A demographic prediction module examines a user's social network to predict demographics of users.

US Patent:

20080126411, May 29, 2008

Filed:

Sep 26, 2006

Appl. No.:

11/535160

Inventors:

Dong Zhuang - Beijing, CN
Benyu Zhang - Beijing, CN
Heng Zhang - Bellevue WA, US
Jeremy Tantrum - Shoreline WA, US
Teresa B. Mah - Bellevue WA, US
Hua-Jun Zeng - Beijing, CN
Zheng Chen - Beijing, CN
Jian Wang - Beijing, CN

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 7/00

US Classification:

7071041

Abstract:

A system, method, computer-readable media, and related techniques are disclosed for predicting demographic information of a user. A social link network is created and a search request for demographic information related to a first user within the social link network is received. The requested demographic information based on the demographic information of other users connected to the first user within the social link network is provided.

US Patent:

20090148045, Jun 11, 2009

Filed:

Dec 7, 2007

Appl. No.:

11/952290

Inventors:

PHILIP LEE - BELLEVUE WA, US
HENG ZHANG - BELLEVUE WA, US
LEE-MING ZEN - SEATTLE WA, US

Assignee:

MICROSOFT CORPORATION - REDMOND WA

International Classification:

G06K 9/46

US Classification:

382190

Abstract:

Systems, methods, computer-readable media, and graphical user interfaces for applying image-based contextual advertisements to images are provided. An image analyzing module and advertisement analyzing module analyze images and advertisements to identify image attributes and advertisement attributes. Upon identifying image attributes and advertisement attributes, advertisements deemed contextually relevant to an image are determined. In some embodiments, the contextually relevant advertisements are ranked. Thereafter, one or more contextually relevant advertisements are associated with the image. The one or more contextually relevant advertisements are presented based on preferences and/or features.

US Patent:

20220360711, Nov 10, 2022

Filed:

Jul 25, 2022

Appl. No.:

17/872529

Inventors:

- San Mateo CA, US
Sylvain Leroy - Bures-sur-Yvette, FR
Heng Zhang - San Mateo CA, US
Ingrid Cotoros - San Mateo CA, US

International Classification:

H04N 5/232
H04N 5/235

Abstract:

A camera mode to use for capturing an image or video is selected by estimating high dynamic range (HDR), motion, and light intensity with respect to a scene of the image or video to capture. An image capture device includes a HDR estimation unit to detect whether HDR is present in a scene of an image to capture, a motion estimation unit to determine whether motion is detected within the scene, and a light intensity estimation unit to determine whether a scene luminance for the scene meets a threshold. A mode selection unit selects a camera mode to use for capturing the image based on output of the HDR estimation unit, the motion estimation unit, and the light intensity estimation unit. An image sensor captures the image according to the selected camera mode.