Hao Wei Zheng, 66Daly City, CA

7582611, Sep 1, 2009

May 2, 2006

11/416519

Yaoquan Liu - Castro Valley CA, US
Christopher Carreras - Belmont CA, US
David C. Myles - Kensington CA, US
Yong Li - Palo Alto CA, US
Simon James Shaw - San Francisco CA, US
Hong Fu - Union City CA, US
Yue Chen - Hayward CA, US
Hao Zheng - Hayward CA, US
Yandong Li - San Jose CA, US
Mark A. Burlingame - Oakland CA, US

Pfizer Inc. - New York NY

A61K 31/70
C07H 17/08

514 29, 536 72, 536 73, 536 74

Compounds having a structure according to formula (I).

7882177, Feb 1, 2011

Aug 6, 2007

11/834529

Ke Wei - San Mateo CA, US
Hao Zheng - Saratoga CA, US
Jay Pujara - Palo Alto CA, US

Yahoo! Inc. - Sunnyvale CA

G06K 9/60

709204, 382199, 382190, 382237

A network device and method are directed towards detecting and blocking image spam within a message by performing statistical analysis on differences in edge pixel distribution patterns. An image spam detection component receives a message with an image attachment. Physical characteristics of the image are examined to determine whether the image is a candidate for further analysis. If so, then the image may be converted to a grayscale image, and then performing edge detection, followed by the elimination of non-maxima and thresholding of weak edges. Edge pixels and then employed to determine a normalized pixel density distribution (PDD). Various statistical analyses are applied to the resulting normalized PDD to determine a likelihood that the image is spam. A signature based exemption may be applied to images improperly identified as spam, based on trusted user feedback.

8301719, Oct 30, 2012

Dec 8, 2010

12/963514

Ke Wei - San Mateo CA, US
Hao Zheng - Saratoga CA, US
Jay Pujara - Palo Alto CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 15/16
G06K 9/00

709216, 348624, 348700, 348 36, 382167, 382165, 382100

A network device and method are directed towards detecting and blocking image spam within a message by performing statistical analysis on differences in edge pixel distribution patterns. An image spam detection component receives a message with an image attachment. Physical characteristics of the image are examined to determine whether the image is a candidate for further analysis. If so, then the image may be converted to a grayscale image, and then performing edge detection, followed by the elimination of non-maxima and thresholding of weak edges. Edge pixels and then employed to determine a normalized pixel density distribution (PDD). Various statistical analyses are applied to the resulting normalized PDD to determine a likelihood that the image is spam. A signature based exemption may be applied to images improperly identified as spam, based on trusted user feedback.

2006003, Feb 9, 2006

Mar 14, 2005

11/080258

Hao Zheng - Cupertino CA, US
Bruce Chu - San Francisco CA, US
Anirban Kundu - Milpitas CA, US
Miles Libbey - Mountain View CA, US
David Nakayama - Palo Alto CA, US
Jing Zhu - Fremont CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 15/16

709206000, 709229000

The invention relates to determining electronic text communication distributed in bulk is likely solicited. In one step, a first electronic and a second electronic submission are received. It is determined that the first electronic submission is likely solicited. A first portion is extracted from the first electronic submission and a second portion from the second electronic submission. The content of the first electronic submission influences extraction of the first portion, and the content of the second electronic submission influences extraction of the second portion. A first code is determined for the first portion and a second code is determined for the second portion, where the first code is indicative of the first portion and the second code is indicative of the second portion. The first code is compared to the second code. It is determined that the second electronic submission is likely solicited, at least in part, in response to comparing the first code to the second code.

2007000, Jan 4, 2007

Apr 21, 2005

11/112316

Hao Zheng - Cupertino CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 15/16

709230000

According to the invention, a digital message system for receiving a plurality of digital messages is disclosed. The digital message system includes a message receiving function, a message grouping function and a traffic shaping unit. The message receiving function interacts with the first and second digital messages. The message grouping function associates a first digital message and a second digital message to a group that are similar in at least one way. The traffic shaping unit does not delay delivery of the first digital message, but delays a second digital message. Messages are delayed when traffic for the group compares unfavorably with a traffic profile for the group.

2010016, Jun 24, 2010

Dec 18, 2008

12/338504

Hao Zheng - Saratoga CA, US
George Mavromatis - Mountain View CA, US
Dongni Chen - Sunnyvale CA, US
Vanja Josifovski - Los Gatos CA, US

Yahoo! Inc. - Sunnvale CA

G06F 17/30
G06F 7/00

707722, 707E17014

The subject matter disclosed herein relates to dynamically update an ad cache.

2023003, Feb 2, 2023

Sep 22, 2022

17/950628

- Dulles VA, US
Liang Wang - Beijing, CN
Hao Zheng - Saratoga CA, US

G06F 16/9535
G06F 16/2457
H04L 67/10
H04L 67/306
G06F 16/901

The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

2021040, Dec 30, 2021

Sep 10, 2021

17/472437

- Cupertino CA, US
Nicholas D. Smyth - San Jose CA, US
Hao Zheng - San Jose CA, US
Shujun Tang - Santa Cruz CA, US
Zachary W. Birnbaum - Saratoga CA, US

Apple Inc. - Cupertino CA

G02B 27/64
H04N 5/225

A damper arrangement may be used in a camera module that includes a first (e.g., stationary) and a second (e.g., dynamic) component. The second component may hold a lens such that the lens moves together with the second component. The damper arrangement may include an interface member that extends from the first or the second component to at least partially into a viscoelastic material within a volumetric space configured in the first component, the second component, or both. The interface member may include a mounting portion having a thickness and a viscoelastic material section, having a different thickness, that interacts with viscoelastic material to dampen motion of the second component, for example, during operation of a lens actuator to move the second component along an optical axis of the lens. The interface member may be a two-piece interface member, such as a pin soldered into a hole in a plate, for example.