Lin Zhao

US Patent:

20120271631, Oct 25, 2012

Filed:

Apr 19, 2012

Appl. No.:

13/450861

Inventors:

Fuliang Weng - Mountain View CA, US
Zhe Feng - Mountain View CA, US
Kui Xu - Sunnyvale CA, US
Lin Zhao - Sunnyvale CA, US

Assignee:

ROBERT BOSCH GMBH - Stuttgart

International Classification:

G10L 15/06

US Classification:

704243, 704E15007

Abstract:

In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

US Patent:

20220223130, Jul 14, 2022

Filed:

Oct 21, 2021

Appl. No.:

17/507491

Inventors:

- Cambridge MA, US
Gang Chen - Carlisle MA, US
Xuanhe Zhao - Allston MA, US
Elise M. Strobach - Clear Lake WI, US
Bikramjit S. Bhatia - Cambridge MA, US
Lin Zhao - Revere MA, US
Sungwoo Yang - Chattanooga TN, US
Lee A. Weinstein - Somerville MA, US
Thomas A. Cooper - Boston MA, US
Shaoting Lin - Cambridge MA, US

International Classification:

G10K 11/168
B32B 7/027
B32B 7/12
B32B 9/04
E06B 9/24

Abstract:

Described herein are window retrofits including a monolithic silica aerogel slab having (i) an average haze value of

US Patent:

20210123558, Apr 29, 2021

Filed:

Aug 29, 2020

Appl. No.:

17/006826

Inventors:

- Cambridge MA, US
Bikram BHATIA - Cambridge MA, US
Lin ZHAO - Revere MA, US
Evelyn N. WANG - Cambridge MA, US

International Classification:

F16L 59/02
F25B 17/08
F25B 27/00
C09D 5/33
C09D 123/06
C09D 7/61
F16L 59/08

Abstract:

Recent progress in passive radiative cooling technologies have significantly improved cooling performance under direct sunlight. Performance of existing passive radiative coolers for air conditioning and portable refrigeration applications can be improved with a material that is solar reflective and infrared transparent that can also have a low thermal conductivity.

US Patent:

20210094834, Apr 1, 2021

Filed:

Nov 6, 2020

Appl. No.:

17/091141

Inventors:

- Cambridge MA, US
Evelyn N. Wang - Cambridge MA, US
Svetlana Boriskina - Winchester MA, US
Lee A. Weinstein - Somerville MA, US
Sungwoo Yang - Chattanooga TN, US
Bikramjit S. Bhatia - Cambridge MA, US
Lin Zhao - Revere MA, US
Elise M. Strobach - Clear Lake WI, US
Thomas A. Cooper - Boston MA, US
David M. Bierman - Cambridge MA, US
Xiaopeng Huang - Mountain View CA, US
James Loomis - Valparaiso FL, US

International Classification:

C01B 33/158
B01J 13/00
F24S 80/65
F24S 80/56
F24S 20/20
C04B 14/06
C01B 33/14
F24S 70/20
F24S 10/95
F24S 23/70

Abstract:

A silica aerogel having a mean pore size less than 5 nm with a standard deviation of 3 nm. The silica aerogel may have greater than 95% solar-weighted transmittance at a thickness of 8 mm for wavelengths in the range of 250 nm to 2500 nm, and a 400 C. black-body weighted specific extinction coefficient of greater than 8 m/kg for wavelengths of 1.5 μm to 15 μm. Silica aerogel synthesis methods are described. A solar thermal aerogel receiver (STAR) may include an opaque frame defining an opening, an aerogel layer disposed in the opaque frame, with at least a portion of the aerogel layer being proximate the opening, and a heat transfer fluid pipe in thermal contact with and proximate the aerogel layer. A concentrating solar energy system may include a STAR and at least one reflector to direct sunlight to an opening in the STAR.

US Patent:

20200342168, Oct 29, 2020

Filed:

Dec 27, 2018

Appl. No.:

16/958892

Inventors:

- Stuttgart, DE
Lin Zhao - Sunnyvale CA, US
Kui Xu - Sunnyvale CA, US
Zhe Feng - Mountain View CA, US

International Classification:

G06F 40/20
G06N 3/04
G06N 3/08

Abstract:

A method of automatically generating a terminology definition knowledge base (KB) includes mapping each word in a word sequence to a real value dense vector using dense vector representations. The word sequence is then processed using a Convolutional Neural Network (CNN) model to identify whether the word sequence includes a terminology definition and to label the word sequence with a label indicating whether a terminology definition exists within the word sequence. The word sequence is then processed using a Conditional Random Field (CRF) model to identify boundaries of the terminology definition in the word sequence. The terminology definition is then extracted and added to the terminology definition KB.

US Patent:

20200342178, Oct 29, 2020

Filed:

Dec 27, 2018

Appl. No.:

16/958888

Inventors:

- Stuttgart, DE
Yifan He - Sunnyvale CA, US
Lin Zhao - Sunnyvale CA, US
Kui Xu - Sunnyvale CA, US
Zhe Feng - Mountain View CA, US

International Classification:

G06F 40/30
G06N 5/02
G06F 16/36
G06N 5/04
G06F 40/169
G06F 40/247
G06N 7/00

Abstract:

An automatic terminology linking system includes a candidate generator configured to identify candidate nodes for each terminology that is to be linked to a node of the knowledge base. A pseudo-candidate generator is configured to identify pseudo-candidate nodes for candidate-less terminologies. A candidate scorer is configured to respectively score the candidate nodes and the pseudo-candidate nodes by collective inference using occurrence statistics and co-occurrence statistics for these nodes. The pseudo-candidate generator is configured to identify knowledge base nodes that are semantically-related to candidate-less terminology as the pseudo-candidate nodes for the candidate-less terminology.

US Patent:

20200304448, Sep 24, 2020

Filed:

Dec 1, 2016

Appl. No.:

15/779592

Inventors:

- Stuttgart, DE
Lin Zhao - Sunnyvale CA, US
Kui Xu - Sunnyvale CA, US

International Classification:

H04L 12/58
G06F 40/279
G06F 40/258

Abstract:

A non-transitory machine accessible medium includes a topic detection module for extracting major topics from an electronic mail message, a sender role and receiver role detection module for detecting role information of one of the sender and the receiver from the electronic mail message, and a relationship detection module for comparing a relationship between the extracted topic information and the role information. The detection modules can be based on statistical or rule-based approaches. Based on the detected information, the non-transitory machine accessible medium predicts a level of importance of the electronic mail message based on a machine learning algorithm.

US Patent:

20200210426, Jul 2, 2020

Filed:

Dec 28, 2018

Appl. No.:

16/234989

Inventors:

- Stuttgart, DE
Lin ZHAO - Sunnyvale CA, US
Zhe FENG - Mountain View CA, US

International Classification:

G06F 16/2452
G06F 16/9538
G06F 16/248

Abstract:

A server includes a controller in communication with the server and configured to receive a query related to an issue with a vehicle, retrieve information related to the query from a database that includes structured data including data related to vehicle issues and a solution to the vehicle issues, determine whether the database includes structured data including data related to the solution responsive to the query, and output information including the solution to the issue when the determination identifies that the structured data including the solution in the database or retrieve information from a website when the determination identifies that the structured data including the solution is not found in the database, wherein the controller is further configured to retrieve the information from the website by conducting a keyword search for a first set of results and filtering the information from the website utilizing an autoencoder.