Xi Chen

US Patent:

8134864, Mar 13, 2012

Filed:

Aug 13, 2009

Appl. No.:

12/541111

Inventors:

Randall H. Victora - New Brighton MN, US
Xi Chen - Minneapolis MN, US

Assignee:

Regents of the University of Minnesota - St. Paul MN

International Classification:

G11C 11/00

US Classification:

365158, 365171, 365173

Abstract:

In general, the invention is directed to techniques for reducing the amount of switching current that is utilized within a magnetic storage (e. g. , MRAM) device. An example apparatus includes a fixed magnetic layer that provides a fixed direction of magnetization, an exchange-coupled magnetic multi-layer structure, and a non-magnetic layer placed between the fixed magnetic layer and the exchange-coupled magnetic multi-layer structure. The exchange-coupled magnetic multi-layer structure includes a recording layer configured to record information and an assisting layer having a lower anisotropy than the recording layer. The exchange coupling between the recording and assisting layers is operable to switch a magnetization direction of the recording layer. In some cases, the exchange-coupled magnetic multi-layer structure may further include a spacer separating the recording and assisting layers and configured to weaken an exchange coupling between the recording and assisting layers.

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.

US Patent:

20190236487, Aug 1, 2019

Filed:

Jan 30, 2018

Appl. No.:

15/883686

Inventors:

- Redmond WA, US
Houdong Hu - Redmond WA, US
Li Huang - Sammamish WA, US
Xi Chen - Bellevue WA, US
Linjun Yang - Sammamish WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06N 99/00

Abstract:

A technique for hyperparameter tuning can be performed via a hyperparameter tuning tool. In the technique, computer-readable values for each of one or more machine learning hyperparameters can be received. Multiple computer-readable hyperparameter value sets can be defined using different combinations of the values. In response to a request to start, an overall hyperparameter tuning operation can be performed via the tool, with the overall operation including a tuning job for each of the hyperparameter sets. A computer-readable comparison of the results of the parameter tuning operations can be generated for the hyperparameter sets, with the comparison indicating effectiveness of the hyperparameter sets, as compared to each other, in the tuning jobs.