Xi X Chen

US Patent:

7183300, Feb 27, 2007

Filed:

Nov 10, 2005

Appl. No.:

11/271437

Inventors:

Michael F. Summers - Ellicott City MD, US
Atul Agarwal - Hamden CT, US
Xi Chen - Killingworth CT, US
Milind Deshpande - Madison CT, US

International Classification:

A61K 31/4245
A61K 31/426
A61K 31/341
C07D 271/08
C07D 277/48
C07D 307/54

US Classification:

514364, 514377, 514461, 548125, 548196, 549473

Abstract:

Substituted aryl aminomethyl thiazole ureas and analogues thereof that act as inhibitors of viral capsid formation, including HIV capsid formation, are provided here. Generally the virus capsid formation inhibitors described herein are compounds of Formula I.

US Patent:

8445537, May 21, 2013

Filed:

Oct 9, 2009

Appl. No.:

12/576410

Inventors:

Alan E. Tomkinson - Glenwood MD, US
Xi Chen - Baltimore MD, US
Barbara Dziegielewska - Baltimore MD, US
Alexander D. Mackerell - Baltimore MD, US
Shijun Zhong - Ellicott City MD, US
Gerald M. Wilson - Middle River MD, US

Assignee:

STC.UNM - Albuquerque NM

International Classification:

A61K 31/16
A61K 31/13

US Classification:

514615, 514638

Abstract:

Methods for treating cancer using compounds that inhibit human DNA ligases. Methods for using compounds that inhibit human DNA ligases to provide insights into the reaction mechanisms of human DNA ligases, for example to identify the human DNA ligase involved in different DNA repair pathways. Screening methods for compounds that inhibit human DNA ligases.

US Patent:

20220415309, Dec 29, 2022

Filed:

Jun 24, 2021

Appl. No.:

17/304712

Inventors:

- Seattle WA, US
Jingqian Zhao - Bellevue WA, US
Prathap Ramachandra - Kirkland WA, US
Jinning Wu - Seattle WA, US
Uday Kumar Kollu - Seattle WA, US
Xi Chen - Issaquah WA, US
Wenbo Yan - Seattle WA, US
Charlotte Alizerine Dzialo - Seattle WA, US
Liu Yang - Seattle WA, US

International Classification:

G10L 15/18
G06F 16/687
G10L 15/22

Abstract:

A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. Some applications may be given priority over others such that some applications are general request applications to which responsibility for processing an intent is to be assigned as long as contextual criteria are satisfied, while other applications are specific request applications to which responsibility for processing an intent is to be assigned only if the applications are specifically requested, if the contextual criteria of priority applications are not satisfied, and/or if certain contextual criteria associated with the specific request applications are satisfied.

US Patent:

20220415311, Dec 29, 2022

Filed:

Jun 24, 2021

Appl. No.:

17/304720

Inventors:

- Seattle WA, US
Adam Kalman - Seattle WA, US
Uday Kumar Kollu - Seattle WA, US
Ruiqi Luo - Kenmore WA, US
Xi Chen - Issaquah WA, US
Jingqian Zhao - Bellevue WA, US
Yunqiang Zhu Zhu - Sammamish WA, US
Adriano Devillaine - Seattle WA, US

International Classification:

G10L 15/18
G10L 15/22

Abstract:

A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. The system can use signals and other contextual data associated with an utterance, such as location signals, content catalog data, data regarding historical usage patterns, data regarding content visually presented on a display screen of a computing device when an utterance was made, other data, or some combination thereof.

US Patent:

20220415320, Dec 29, 2022

Filed:

May 16, 2022

Appl. No.:

17/745671

Inventors:

- Menlo Park CA, US
Lin Sun - Kenmore WA, US
Ram Kumar Hariharan - Kirkland WA, US
Haidong Wang - Clyde Hill WA, US
Joshua Saylor McMullen - Kirkland WA, US
Mengxi Li - Bellevue WA, US
Long You Cai - Kirkland WA, US
Keith Diedrick - Kirkland WA, US
Crystal Annette Nakatsu Sung - Redmond WA, US
Xi Chen - San Jose CA, US
Debojeet Chatterjee - Sunnyvale CA, US
Sonal Gupta - Sunnyvale CA, US
Vikas Seshagiri Rao Bhardwaj - Seattle WA, US
Yashar Mehdad - Redwood City CA, US
Anuj Kumar - Kirkland WA, US
Ashish Garg - Bellevue WA, US
Justin Denney - San Francisco CA, US
Hakan Inan - Emerald Lake Hills CA, US
Iaroslav Markov - San Mateo CA, US
Surya Teja Appini - Mountain View CA, US
Bing Liu - Sunnyvale CA, US
Shusen Liu - Mountain View CA, US
Zhiqi Wang - Redmond WA, US
Alexander Kolmykov-Zotov - Sammamish WA, US

International Classification:

G10L 15/22
G06F 40/35

Abstract:

In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

US Patent:

20200097604, Mar 26, 2020

Filed:

Sep 21, 2018

Appl. No.:

16/138587

Inventors:

- Redmond WA, US
Gang HUA - Sammamish WA, US
Xi CHEN - Bellevue WA, US
Houdong HU - Redmond WA, US
He XIAODONG - Sammamish WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 17/30
G06N 3/04
G06N 3/08
G06T 7/11
G06K 9/62
G06F 17/16
G06F 17/18

Abstract:

The present concepts relate to matching data of two different modalities using two stages of attention. First data is encoded as a set of first vectors representing components of the first data, and second data is encoded as a set of second vectors representing components of the second data. In the first stage, the components of the first data are attended by comparing the first vectors and the second vectors to generate a set of attended vectors. In the second stage, the components of the second data are attended by comparing the second vectors and the attended vectors to generate a plurality of relevance scores. Then, the relevance scores are pooled to calculate a similarity score that indicates a degree of similarity between the first data and the second data.

US Patent:

20190258895, Aug 22, 2019

Filed:

Feb 20, 2018

Appl. No.:

15/900606

Inventors:

- Redmond WA, US
Xi Chen - Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Redmond WA, US
Jiapei Huang - Redmond WA, US
Meenaz Merchant - Redmond WA, US

International Classification:

G06K 9/62
G06F 17/30

Abstract:

Non-limiting examples of the present disclosure relate to object detection processing of image content that categorically classifies specific objects within image content. Exemplary object detection processing may be utilized to enhance visual search processing including content retrieval and curation, among other technical advantages. An exemplary object detection model is implemented to categorically classify an object. In doing, so an exemplary object detection model may classify objects based on: analysis of specific objects within image content, positioning of the objects within the image content and intent associated with the image content, among other examples. The object detection model generates exemplary categorical classification(s) for specific data objects, which may be propagated to enhance processing efficiency and accuracy during visual search processing. Exemplary categorical classifications may comprise hierarchical classifications of a detected object that can be used to retrieve, curate and surface content that is most contextually relevant to a detected object.

US Patent:

20190236167, Aug 1, 2019

Filed:

Jan 31, 2018

Appl. No.:

15/885568

Inventors:

- Redmond WA, US
Yan Wang - Mercer Island WA, US
Linjun Yang - Sammamish WA, US
Li Huang - Sammamish WA, US
Xi Chen - Redmond WA, US
Jiapei Huang - Beijing, CN
Ye Wu - Redmond WA, US
Arun K. Sacheti - Redmond WA, US
Meenaz Merchant - Kirkland WA, US

International Classification:

G06F 17/30
G06T 7/00
G06K 9/62
G06K 9/46
G06N 3/08

Abstract:

Systems and methods can be implemented to conduct searches based on images used as queries in a variety of applications. In various embodiments, a set of visual words representing a query image are generated from features extracted from the query image and are compared with visual words of index images. A set of candidate images is generated from the index images resulting from matching one or more visual words in the comparison. A multi-level ranking is conducted to sort the candidate images of the set of candidate images, and results of the multi-level ranking are returned to a user device that provided the query image. Additional systems and methods are disclosed.