Fang Liu

US Patent:

8572618, Oct 29, 2013

Filed:

May 7, 2010

Appl. No.:

12/776064

Inventors:

Khanderao Kand - San Jose CA, US
Fang Liu - Dracut MA, US
Bhagat Nainani - Fremont CA, US
Shailesh Kumar - Littleton MA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G09F 9/46

US Classification:

718102, 719318

Abstract:

An extensible process design provides an ability to dynamically inject changes into a running process instance, such as a BPEL instance. Using a combination of BPEL, rules and events, processes can be designed to allow flexibility in terms of adding new activities, removing or skipping activities and adding dependent activities. These changes do not require redeployment of the orchestration process and can affect the behavior of in-flight process instances. The extensible process design includes a main orchestration process, a set of task execution processes and a set of generic trigger processes. The design also includes a set of rules evaluated during execution of the tasks of the orchestration process. The design can further include three types of events: an initiate process event, a pre-task execution event and a post-task execution event. These events and rules can be used to alter the behavior of the main orchestration process at runtime.

US Patent:

20130007080, Jan 3, 2013

Filed:

Jun 30, 2011

Appl. No.:

13/174151

Inventors:

Fang Liu - Sunnyvale CA, US
Honkai (John) Tam - Sunnyvale CA, US

International Classification:

G06F 5/01

US Classification:

708209

Abstract:

A system and method for efficiently rotating data in a processor for multiple operand sizes. A processor comprises a rotator configured to support multiple operand sizes. The rotator receives a rotate amount and an input operand with a size less than a maximum operand size supported by the processor. The rotator generates a mask with a same size as the received input operand. The mask comprises a number of asserted most-significant bits equal to the rotate amount. The remaining bits in the mask are deasserted. For a given rotation result bit position with an associated asserted mask bit, the rotator selects a value in the input operand at a bit position with a distance from the given result bit position equal to the rotate amount plus a difference between the maximum operand size supported by the processor and the input operand size.

US Patent:

20220345487, Oct 27, 2022

Filed:

Jul 12, 2022

Appl. No.:

17/812137

Inventors:

- Santa Clara CA, US
Yuchen Zhou - Santa Clara CA, US
Fang Liu - Santa Clara CA, US

International Classification:

H04L 9/40
G06F 16/23
G06F 16/958
G06F 16/951
G06F 21/56

Abstract:

Web sites are crawled using multiple browser profiles to avoid malicious cloaking. Based on web page content returned from HTTP requests using the multiple browser profiles, web sites returning substantively different content to HTTP requests for different browser profiles are identified. Web sites are further filtered by common cloaking behavior, and redirect scripts are extracted from web page content that performed cloaking. Signatures comprising tokenized versions of the redirect scripts are generated and compared to a database of known cloaking signatures. URLs corresponding to signatures having approximate matches with signatures in the database are flagged for recrawling. Recrawled URLs are verified for malicious cloaking again using HTTP requests from multiple browser profiles.

US Patent:

20220243234, Aug 4, 2022

Filed:

Apr 7, 2022

Appl. No.:

17/715602

Inventors:

- Albuquerque NM, US
Fang Liu - Pleasanton CA, US

International Classification:

C12P 13/08
C12P 13/24
C12P 13/20
C12N 15/81
C12P 13/06
C12P 13/22

Abstract:

The present invention relates to methods of providing a biomass residuum and compositions thereof. In particular examples, the biomass residuum includes one or more high value amino acids, even after removal of mixed alcohol components. In particular, the methods include implementing pre-treatment conditions and employing fermentation conditions including modified organisms.

US Patent:

20230074151, Mar 9, 2023

Filed:

Nov 15, 2022

Appl. No.:

17/987729

Inventors:

- Santa Clara CA, US
Oleksii Starov - Santa Clara CA, US
Yuchen Zhou - Newark CA, US
Fang Liu - Santa Clara CA, US

International Classification:

G06F 21/56
G06F 8/41
G06F 8/75
G06N 20/00

Abstract:

Techniques for multi-representational learning models for static analysis of source code are disclosed. In some embodiments, a system/process/computer program product for multi-representational learning models for static analysis of source code includes receiving at a networked device a set comprising one or more multi-representation learning (MRL) models for static analysis of source code; performing a static analysis of source code associated with a sample received at the network device, wherein performing the static analysis includes using at least one MRL model; and determining that the sample is malicious based at least in part on the static analysis of the source code associated with the sample and without performing dynamic analysis of the sample, and in response to determining that the sample is malicious, performing an action based on a security policy.

US Patent:

20210240825, Aug 5, 2021

Filed:

Jan 31, 2020

Appl. No.:

16/779268

Inventors:

- Santa Clara CA, US
Oleksii Starov - Santa Clara CA, US
Yuchen Zhou - Newark CA, US
Fang Liu - Santa Clara CA, US

International Classification:

G06F 21/56
G06N 20/00
G06F 8/75
G06F 8/41

Abstract:

Techniques for multi-representational learning models for static analysis of source code are disclosed. In some embodiments, a system/process/computer program product for multi-representational learning models for static analysis of source code includes storing on a networked device a set comprising one or more multi-representation learning (MRL) models for static analysis of source code; performing a static analysis of source code associated with a sample received at the network device, wherein performing the static analysis includes using at least one stored MRL model; and determining that the sample is malicious based at least in part on the static analysis of the source code associated with the received sample, and in response to determining that the sample is malicious, perform an action based on a security policy.

US Patent:

20210240826, Aug 5, 2021

Filed:

Jan 31, 2020

Appl. No.:

16/779271

Inventors:

- Santa Clara CA, US
Oleksii Starov - Santa Clara CA, US
Yuchen Zhou - Newark CA, US
Fang Liu - Santa Clara CA, US

International Classification:

G06F 21/56
G06N 20/00
G06K 9/62
G06F 8/75
G06F 8/41

Abstract:

Techniques for building multi-representational learning models for static analysis of source code are disclosed. In some embodiments, a system/process/computer program product for building multi-representational learning models for static analysis of source code includes receiving training data, wherein the training data includes a set of source code files for training a multi-representational learning (MRL) model for classifying malicious source code and benign source code based on a static analysis; generating a first feature vector based on a set of characters extracted from the set of source code files; generating a second feature vector based on a set of tokens extracted from the set of source code files; and performing an ensemble of the first feature vector and the second feature vector to form a target feature vector for classifying malicious source code and benign source code based on the static analysis.

US Patent:

20210120034, Apr 22, 2021

Filed:

Oct 22, 2019

Appl. No.:

16/659917

Inventors:

- Santa Clara CA, US
Yuchen Zhou - Santa Clara CA, US
Fang Liu - Santa Clara CA, US

International Classification:

H04L 29/06
G06F 16/951
G06F 16/23
G06F 16/958
G06F 21/56

Abstract:

Web sites are crawled using multiple browser profiles to avoid malicious cloaking. Based on web page content returned from HTTP requests using the multiple browser profiles, web sites returning substantively different content to HTTP requests for different browser profiles are identified. Web sites are further filtered by common cloaking behavior, and redirect scripts are extracted from web page content that performed cloaking. Signatures comprising tokenized versions of the redirect scripts are generated and compared to a database of known cloaking signatures. URLs corresponding to signatures having approximate matches with signatures in the database are flagged for recrawling. Recrawled URLs are verified for malicious cloaking again using HTTP requests from multiple browser profiles.