Xing Wang

US Patent:

8026243, Sep 27, 2011

Filed:

Jul 10, 2007

Appl. No.:

12/373441

Inventors:

Pamela A. Albaugh - Emeryville CA, US
Yun He - Shanghai, CN
Songchun Jiang - Emeryville CA, US
Pingda Ren - Emeryville CA, US
Xia Wang - Emeryville CA, US
Xing Wang - Emeryville CA, US
Yongping Xie - Emeryville CA, US

Assignee:

Novartis AG - Basel

International Classification:

A01N 43/54
C07D 239/42
C07D 401/04
C07D 403/00

US Classification:

514256, 544296, 544328

Abstract:

The invention provides a novel class of compounds of the Formula I:.

US Patent:

63319128, Dec 18, 2001

Filed:

Feb 19, 1999

Appl. No.:

9/252770

Inventors:

Vincent Au-Yeung - Los Altos CA
Xing Long Wang - Sunnyvale CA

Assignee:

U.S.A. Kaifa Technology, Inc. - Sunnyvale CA

International Classification:

G02B 530

US Classification:

359484

Abstract:

An improved optical circulator transfers light from a first optical port to a second optical port, and from the second port to a third port. The circulator has non-reciprocal polarization rotators, birefringent beam splitters and combiners, and a polarization-dependent light bending device comprising two tapered birefringent plates. The light bending device compensates for an angle between a first light beam emanating from the first port and a second light beam propagating to the third port. The existence of this angle allows the first and third fibers to be coupled to the light beams using a single lens.

US Patent:

20230116233, Apr 13, 2023

Filed:

Apr 20, 2022

Appl. No.:

17/724589

Inventors:

- Boulder CO, US
Xianming Jin - San Ramon CA, US
Zuosheng Liu - San Diego CA, US
Daniel Poon - Piedmont CA, US
John Tellew - La Jolla CA, US
Yongqin Wan - Irvine CA, US
Xing Wang - San Diego CA, US
Yongping Xie - San Diego CA, US

International Classification:

A61K 31/506
C07D 401/14
C07D 403/04
A61K 45/06
C07D 405/14
A61K 9/00
A61K 31/4184

Abstract:

The invention provides a novel class of compounds, pharmaceutical compositions comprising such compounds and methods of using such compounds to treat or prevent diseases or disorders associated with abnormal or deregulated kinase activity, particularly diseases or disorders that involve abnormal activation of B-Raf.

US Patent:

20230104301, Apr 6, 2023

Filed:

Oct 4, 2021

Appl. No.:

17/492836

Inventors:

- San Jose CA, US
Xing Wang - Milpitas CA, US
Mike Sapozhnikov - San Jose CA, US
Sayed Ashraf Mamun - San Jose CA, US
Tomer Osi - Rosh Ahayin, IL
Joel Goergen - Soulsbyville CA, US

International Classification:

H01L 23/00
H01L 23/50
H01L 23/498

Abstract:

An apparatus includes a printed circuit board (PCB), and an integrated circuit (IC) package connected with the PCB. The IC package includes a package substrate, a die secured to the package substrate and including an integrated circuit, and a stiffener ring secured to the package substrate and surrounding so as to define a perimeter around the die. The stiffener ring increases a rigidity of the package substrate and delivers electrical power to the integrated circuit, where the stiffener ring includes a first conductive layer forming a power (PWR) plane for the integrated circuit, a second conductive layer forming a ground (GND) plane for the integrated circuit, and an insulating layer disposed between the first conductive layer and the second conductive layer.

US Patent:

20210382770, Dec 9, 2021

Filed:

Jun 5, 2020

Appl. No.:

16/893778

Inventors:

- Palo Alto CA, US
Xing Wang - Palo Alto CA, US
Shafi Khan - Palo Alto CA, US
Apolak Borthakur - Palo Alto CA, US
Paul Pedersen - Palo Alto CA, US
Darren Brown - Seattle WA, US
Gopal Harikumar - Palo Alto CA, US

Assignee:

VMware, Inc. - Palo Alto CA

International Classification:

G06F 11/07
G06F 11/30
G06K 9/62
G06K 9/68

Abstract:

Automated methods and systems described herein are directed to identifying potential root causes of a problem in a data center. Methods and systems receipt an alert or other notification of a problem occurring in a data center and a time when the problem was noticed. A search window is created based on the time and a stream of log messages generated in the search window is converted into a time dependent metric. An anomaly detection technique is applied to the metric to determine a start time of a problem. Logging events and key phrases in the log messages are identified in the search window and presented as potential root causes of the problem. The potential root cause may then be used by system administrators and/or tenants to diagnose the problem and execute remedial measures to correct the problem.

US Patent:

20210271581, Sep 2, 2021

Filed:

May 20, 2021

Appl. No.:

17/325602

Inventors:

- Palo Alto CA, US
Jinyi Lu - Mountain View CA, US
Paul Pedersen - Palo Alto CA, US
Junyuan Lin - Seattle CA, US
Darren Brown - Seattle WA, US
Peng Gao - Palo Alto CA, US
Leah Nutman - Sunnyvale CA, US
Xing Wang - Palo Alto CA, US

International Classification:

G06F 11/34
G06F 9/50
G06N 5/04
G06F 11/30

Abstract:

Various examples are disclosed for transitioning usage forecasting in a computing environment. Usage of computing resources of a computing environment are forecasted using a first forecasting data model and usage measurements obtained from the computing resources. A use of the first forecasting data model in forecasting the usage is transitioned to a second forecasting data model without incurring downtime in the computing environment. After the transition, the usage of the computing resources of the computing environment is forecasted using the second forecasting data model and the usage measurements obtained from the computing resources. The second forecasting data model exponentially decays the usage measurements based on a respective time period at which the usage measurements were obtained.

US Patent:

20210141900, May 13, 2021

Filed:

Nov 13, 2019

Appl. No.:

16/682549

Inventors:

- Palo Alto CA, US
Paul Pedersen - Palo Alto CA, US
Keshav Mathur - Palo Alto CA, US
Junyuan Lin - Bellevue WA, US
Nicholas Kushmerick - Seattle WA, US
Jinyi Lu - Palo Alto CA, US
Xing Wang - Palo Alto CA, US
Peng Gao - Palo Alto CA, US

Assignee:

VMware, Inc. - Palo Alto CA

International Classification:

G06F 21/56

Abstract:

Computational methods and systems for detecting and troubleshooting anomalous behavior in distributed applications executing in a distributed computing system are described herein. Methods and systems discover nodes comprising the application. Anomaly detection monitors the metrics associated with the nodes for anomalous behavior in order to identify an approximate point in time when anomalous behavior begins to adversely impact performance of the application. Anomaly detection also monitors logs messages associated with the nodes to detect anomalous behavior recorded in the log messages. When anomalous behavior is detected in either the metrics and/or the log messages an alert identifying the anomalous behavior is generated. Troubleshooting guides an administrator and/or application owner to investigate the root cause of the anomalous behavior. Appropriate remedial measures may be determined based on the root cause and automatically or manually executed to correct the problem.

US Patent:

20210144164, May 13, 2021

Filed:

Nov 13, 2019

Appl. No.:

16/682255

Inventors:

- Palo Alto CA, US
Jinyi Lu - Palo Alto CA, US
Xing Wang - Palo Alto CA, US
Darren Brown - Seattle WA, US
Peng Gao - Palo Alto CA, US
Junyuan Lin - Bellevue WA, US
Paul Pedersen - Palo Alto WA, US

Assignee:

VMware, Inc. - Palo Alto CA

International Classification:

H04L 29/06
H04L 12/26
H04L 12/24
H04L 29/08

Abstract:

Computational methods and systems to detect anomalous behaving resources and objects of a distributed computing system are described. Multiple streams of metric data representing usage of various resources of the distributed computing system are sent to a management system of the distributed computing system. The management system updates a performance model based on newly received metric values of the streams of metric data. The updated performance model is used to detect changes in one or more of the streams of metric data. The changes may be an indication of anomalous behavior at resources and objects associated with the streams of metric data. An anomaly listener is notified of anomalous behavior by the resource or object when a change in one or more of the streams of metric data is detected.