Ying Lu

US Patent:

8180717, May 15, 2012

Filed:

Mar 19, 2008

Appl. No.:

12/077534

Inventors:

Gary King - Brookline MA, US
Daniel Hopkins - Cambridge MA, US
Ying Lu - Loveland CO, US

Assignee:

President and Fellows of Harvard College - Cambridge MA

International Classification:

G06F 17/00
G06F 17/21
G06N 5/00

US Classification:

706 45, 706 20

Abstract:

A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e. g. , a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.

US Patent:

20120215784, Aug 23, 2012

Filed:

Apr 12, 2012

Appl. No.:

13/445257

Inventors:

Gary King - Brookline MA, US
Daniel Hopkins - Cambridge MA, US
Ying Lu - Loveland CO, US

International Classification:

G06F 17/30

US Classification:

707740, 707E17046

Abstract:

A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.

US Patent:

20190329348, Oct 31, 2019

Filed:

Jul 11, 2019

Appl. No.:

16/508669

Inventors:

- Columbus OH, US
Ying Lu - Columbus OH, US
Luke Walker - Columbus OH, US
Menachem Kimchi - Westville OH, US

International Classification:

B23K 11/20
B23K 11/11

Abstract:

An example method for joining metals is described herein. The method can include forming an intermediate joint between a light metal member and a metal insert, where the intermediate joint is formed using a solid state welding process. The method can also include forming a primary joint between the light metal member and a high strength steel member, where the primary joint is formed using a welding process that produces coalescence at a temperature above the melting point of the light metal member and/or the high-strength steel member.

US Patent:

20180361498, Dec 20, 2018

Filed:

Jun 13, 2018

Appl. No.:

16/006903

Inventors:

- Columbus OH, US
Ying Lu - Columbus OH, US
Ellis Mayton - Royal Oak MI, US
Menachem Kimchi - Westville OH, US

International Classification:

B23K 11/11
B23K 20/10
B23K 20/233
B23K 20/227

Abstract:

An example method for joining metals is described herein. The method can include forming an intermediate joint between a first structural member and a foil member, where the intermediate joint is formed using a solid state welding process. The method can also include forming a primary joint between the first structural member and a second structural member, where the primary joint is formed using a welding process that produces coalescence at a temperature above the melting point of the first structural member or the second structural member.