Yu P Zhao

US Patent:

8362311, Jan 29, 2013

Filed:

Sep 30, 2009

Appl. No.:

12/571036

Inventors:

Richard R. Schrock - Winchester MA, US
Annie J. King - Cambridge MA, US
Yu Zhao - Brighton MA, US
Margaret M. Flook - Cambridge MA, US
Amir H. Hoveyda - Lincoln MA, US

Assignee:

Massachusetts Institute of Technology - Cambridge MA
Trustees of Boston College - Chestnut Hill MA

International Classification:

C07C 6/00
C07F 11/00

US Classification:

585646, 556 63, 556413

Abstract:

The present invention relates generally to catalysts and processes for the Z-selective formation of internal olefin(s) from terminal olefin(s) via homo-metathesis reactions.

US Patent:

20090312559, Dec 17, 2009

Filed:

Jan 10, 2007

Appl. No.:

12/160411

Inventors:

Amir H. Hoveyda - Lincoln MA, US
Marc L. Snapper - Ashland MA, US
Jason Rodrigo - Brighton MA, US
Yu Zhao - Brighton MA, US

International Classification:

C07F 7/08
C07D 233/61

US Classification:

5483401, 556436, 556449

Abstract:

The present invention provides methods, compositions and systems for silylation of substrates, including direct asymmetric silylation of a substrate to provide enantiomerically enriched silylated products.

US Patent:

20210056169, Feb 25, 2021

Filed:

Aug 19, 2019

Appl. No.:

16/543794

Inventors:

- Redmond WA, US
Jade Huang - Bellevue WA, US
Matthew Brigham Hall - Kenmore WA, US
Yu Zhao - Redmond WA, US
Pengcheng He - Sammamish WA, US
Weizhu Chen - Kirkland WA, US
Eslam K. Abdelreheem - Sammamish WA, US
Jiayuan Huang - Medina WA, US
Yuting Sun - Kirkland WA, US

International Classification:

G06F 17/27
G06F 17/21
H04L 12/58

Abstract:

Methods, systems, apparatuses, and computer program products are provided for extracting an entity value from a sentence. An embedding set that may include one or more sentence embeddings is generated for at least part of a first sentence that is tagged to associate a first named entity in the sentence with an entity type. A plurality of candidate embeddings is also generated for at least part of a second sentence. The one or more sentence embeddings in the embedding set may be compared with each of the plurality of candidate embeddings, and a match score may be assigned to each comparison to generate a match score set. A particular match score of the match score set may be identified that exceeds a similarity threshold, and an entity value of the entity type may be extracted from the second sentence associated with the identified match score.

US Patent:

20200302019, Sep 24, 2020

Filed:

Mar 22, 2019

Appl. No.:

16/362313

Inventors:

- Redmond WA, US
Weizhu CHEN - Kirkland WA, US
Junyan CHEN - Bellevue WA, US
Pengcheng HE - Sammamish WA, US
Yu ZHAO - Redmond WA, US
Yi-Min WANG - Bellevue WA, US
Yuting SUN - Kirkland WA, US
Zheng CHEN - Bellevue WA, US
Katherine Winant OSBORNE - Kirkland WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 17/27
G06N 20/00

Abstract:

A system for training and deploying an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a memory storing machine readable instructions. The system may also comprise a processor to execute the machine readable instructions to receive a request via an artificial conversational entity. The processor may also transmit a response to the request based on a dialog tree generated from at least a model-based action generator and a memory-based action generator. The processor may further provide a training option to a user in the event the response is suboptimal. The processor may additionally receive a selection from the user via the training option. The selection may be associated with an optimal response.

US Patent:

20200165668, May 28, 2020

Filed:

Aug 10, 2018

Appl. No.:

16/638346

Inventors:

- Palo Alto CA, US
Zhijie YANG - Palo Alto CA, US
Xin CHEN - Palo Alto CA, US
Yu ZHAO - Palo Alto CA, US
Rong WANG - Palo Alto CA, US

Assignee:

ATILA BIOSYSTEMS INCORPORATED - Palo Alto CA

International Classification:

C12Q 1/6858
C12Q 1/6853

Abstract:

The invention provides methods of digital amplification using primers of limited nucleotide composition. Limited nucleotide composition means that the primers are underrepresented in at least one nucleotide type. Such primers have much reduced capacity to prime from each other or to extend initiated by mispriming from other than at their intended primer binding sites in a target nucleic acid.

US Patent:

20190287079, Sep 19, 2019

Filed:

Mar 19, 2018

Appl. No.:

15/925070

Inventors:

- Toyota-shi, JP
Yu Zhao - Mountain View CA, US

International Classification:

G06Q 10/00
G07C 5/00
G07C 5/08
G06Q 30/06

Abstract:

The disclosure includes embodiments for modifying a performance of a vehicle component whose performance is affected by a vehicle fluid that is contaminated by water. A method according to some embodiments generating a digital twin of a vehicle. The method includes receiving digital data recorded by a sensor and describing the vehicle as it exists in a real-world. The method includes updating the digital twin of the vehicle based on the digital data describing the vehicle so that the digital twin is consistent with a condition of the vehicle as it exists in the real-world.

US Patent:

20190203271, Jul 4, 2019

Filed:

May 24, 2017

Appl. No.:

16/303647

Inventors:

- Palo Alto CA, US
Xin CHEN - San Jose CA, US
Rong WANG - Mountain View CA, US
Zhijie YANG - CA, US
Yu ZHAO - Mountain View CA, US

Assignee:

Atila Biosystems, Inc. - Palo Alto CA

International Classification:

C12Q 1/6818
C12Q 1/6844
C12Q 1/6853
C12Q 1/686
C12Q 1/6806

Abstract:

The present disclosure provides compositions, methods and kits for Omega amplification technologies. In addition, the present disclosure provides compositions, methods and kits for universal FQ probe and for G-quadruplex detection methods for use in isothermal amplification technologies.

US Patent:

20170201347, Jul 13, 2017

Filed:

Nov 24, 2015

Appl. No.:

14/950191

Inventors:

Kapil Borle - Watertown MA, US
Biao Chen - Jamesville NY, US
Fangfang Zhu - Bridgewater NJ, US
Yu Zhao - Somerville MA, US

Assignee:

Syracuse University - Syracuse NY

International Classification:

H04L 1/00
H04L 7/04

Abstract:

A method of decoding a plurality of diverse signals for low-density parity-check (LDPC) decoders that takes advantage of signal diversity. The method allows for the combining of soft-decision LDPC encoded non-coherently modulated signals, which is in contrast to existing approaches where hard decision combining is used for non-coherently modulated signals. The method includes the steps of inputting each diversity signal into a unique demodulator, and calculating the LLR of each demodulated signal. When the diverse demodulated signals are combined into a single combined signal, each bit of the combined signal is selected according to the value of either the highest LLR value of each bit across the demodulated signals or according to the sum of the LLR of each bit across the demodulated signals.