Dan Diane Liu

US Patent:

8423405, Apr 16, 2013

Filed:

Nov 1, 2010

Appl. No.:

12/917106

Inventors:

Karthik Gopalratnam - San Francisco CA, US
Myles Sussman - San Francisco CA, US
Marc Berndl - San Francisco CA, US
Dan Liu - Sunnyvale CA, US
Sridhar Ramaswamy - Cupertino CA, US
Nicholas C. Fox - San Francisco CA, US
Jonathan G. Alferness - San Francisco CA, US
Adam I. Juda - New York NY, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06Q 30/00

US Classification:

705 144

Abstract:

In general, in one aspect, a first request to provide one or more advertisements on a first web page is received, the first web page comprising one or more items of web content related to a query. A first quality score is calculated for a first advertisement included in a set of one or more candidate advertisements. The first advertisement is presented on the first web page based at least in part on the first quality score. A second request is received to provide one or more advertisements on a second web page, the second web page comprising one or more different items of web content related to the query. A second quality score for the first advertisement is calculated based at least in part on the previous presentation of the first advertisement. It is determined whether to present the first advertisement on the second web page based at least in part on the second quality score.

US Patent:

20060088863, Apr 27, 2006

Filed:

Oct 4, 2005

Appl. No.:

11/243621

Inventors:

Melvin Yamamoto - Fremont CA, US
Clifford Oostman - Quilcene WA, US
John Sze - Saratoga CA, US
Keith Pearson - Campbell CA, US
Philip Trenholme - Santa Cruz CA, US
Dan Liu - Sunnyvale CA, US
Chi Yu - Saratoga CA, US

Assignee:

Affymetrix, INC. - Santa Clara CA

International Classification:

C12Q 1/68
H01L 29/15
C12M 1/34
H01L 31/0256

US Classification:

435006000, 435287200, 257076000

Abstract:

The present invention provides methods to process multiple sensors by providing a sensor plate and HT plates. In a preferred embodiment of the invention, methods for assembling microarray pegs and microarray plates are described for high throughput microarray processing.

US Patent:

20060141612, Jun 29, 2006

Filed:

Feb 3, 2006

Appl. No.:

11/347654

Inventors:

Melvin Yamamoto - Fremont CA, US
Clifford Oostman - Quilcene WA, US
John Sze - Saratoga CA, US
Keith Pearson - Campbell CA, US
Philip Trenholme - Santa Cruz CA, US
Dan Liu - Sunnyvale CA, US
Chi Yu - Saratoga CA, US

Assignee:

Affymetrix, INC. - Santa Clara CA

International Classification:

C12M 1/34
H01L 21/00

US Classification:

435287200, 438001000

Abstract:

The present invention provides methods to process multiple sensors by providing a sensor plate and HT plates. In a preferred embodiment of the invention, methods for assembling microarray pegs and microarray plates are described for high throughput microarray processing.

US Patent:

20080003667, Jan 3, 2008

Filed:

Apr 11, 2007

Appl. No.:

11/733847

Inventors:

Mark Jones - Reading MA, US
Christopher Petroff - Groton MA, US
Dan Liu - Sunnyvale CA, US

Assignee:

Affymetrix, Inc. - Santa Clara CA

International Classification:

C12M 1/34

US Classification:

435287200

Abstract:

One embodiment describes an automated and flexible system to analyze probe arrays. It comprises a plurality of arrays mounted on pegs that are moved by an instrument handling robot to liquid reaction stations.

US Patent:

20110009297, Jan 13, 2011

Filed:

Sep 21, 2010

Appl. No.:

12/887087

Inventors:

Mark Jones - Reading MA, US
Christopher Petroff - Groton MA, US
Dan Liu - Sunnyvale CA, US

Assignee:

Affymetrix, INC. - Santa Clara CA

International Classification:

C40B 60/12

US Classification:

506 39

Abstract:

One embodiment describes an automated and flexible system to analyze probe arrays. It comprises a plurality of arrays mounted on pegs that are moved by an instrument handling robot to liquid reaction stations.

US Patent:

62127594, Apr 10, 2001

Filed:

Feb 13, 1998

Appl. No.:

9/023541

Inventors:

Dan Liu - Bloomington MN
Michael W. Pfeiffer - Richfield MN

Assignee:

Seagate Technology LLC - Scotts Valley CA

International Classification:

B11B 5127

US Classification:

2960303

Abstract:

An assembly device for assembling components of a disc drive, the assembly device being adapted to assembly components of a disc drive supported at a disc drive station. The assembly members are operably supported for operation between a load position and an install position aligned with the disc drive station. Components are engaged by the assembly members and transported to the disc drive station. At the disc drive station, the components are aligned for assembly in the disc drive.

US Patent:

20200401594, Dec 24, 2020

Filed:

Jun 21, 2019

Appl. No.:

16/449122

Inventors:

- Redmond WA, US
Dan Liu - Santa Clara CA, US
Qi Guo - Sunnyvale CA, US

International Classification:

G06F 16/2457
G06F 17/18
G06F 17/15
G06N 3/04

Abstract:

In an example embodiment, a platform is provided that utilizes information available to a computer system to feed a neural network. The neural network is trained to determine both the probability that a searcher would select a given potential search result if it was presented to him or her and the probability that a subject of the potential search result would respond to a communication from the searcher. These probabilities are combined to produce a single score that can be used to determine whether to present the searcher with the potential search result and, if so, how high to rank the potential search result among other search results. During the training process, a rescaling transformation for each input feature is learned and applied to the values for the input features.

US Patent:

20200401644, Dec 24, 2020

Filed:

Jun 21, 2019

Appl. No.:

16/449149

Inventors:

- Redmond WA, US
Dan Liu - Santa Clara CA, US
Qi Guo - Sunnyvale CA, US
Wenxiang Chen - Sunnyvale CA, US
Xiaoyi Zhang - Sunnyvale CA, US
Lester Gilbert Cottle - Sunnyvale CA, US
Xuebin Yan - Sunnyvale CA, US
Yu Gong - Santa Clara CA, US
Haitong Tian - San Jose CA, US
Siyao Sun - Mountain View CA, US
Pei-Lun Liao - Sunnyvale CA, US

International Classification:

G06F 16/9538
G06N 20/00
G06F 17/27
G06N 3/04

Abstract:

In an example embodiment, position bias and other types of bias may be compensated for by using two-phase training of a machine-learned model. In a first phase, the machine-learned model is trained using non-randomized training data. Since certain types of machine-learned models, such as those involving deep learning (e.g., neural networks) require a lot of training data, this allows the bulk of the training to be devoted to training using non-randomized training data. However, since this non-randomized training data may be biased, a second training phase is then used to revise the machine-learned model based on randomized training data to remove the bias from the machine-learned model. Since this randomized training data may be less plentiful, this allows the deep learning machine-learned model to be trained to operate in an unbiased manner without the need to generate additional randomized training data.