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Zhaoji Chen Phones & Addresses

  • 1733B NW 63Rd St, Seattle, WA 98107
  • Issaquah, WA
  • Glendale, AZ
  • Phoenix, AZ
  • Redmond, WA
  • Kiona, WA
  • Tempe, AZ
  • 4215 213Th Pl SE #62, Issaquah, WA 98029

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Computer Software

Resumes

Resumes

Zhaoji Chen Photo 1

Zhaoji Chen

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Location:
Greater Seattle Area
Industry:
Computer Software

Publications

Us Patents

User Trainable User Interface Page Classification System

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US Patent:
20180137560, May 17, 2018
Filed:
Nov 16, 2016
Appl. No.:
15/353612
Inventors:
- Redmond WA, US
Anand Sampathkumaran - Redmond WA, US
Siddharth Banothu - Seattle WA, US
Zhaoji Chen - Issaquah WA, US
International Classification:
G06Q 30/06
G06F 9/44
Abstract:
A user trainable user interface page classification system applies a rule set to information associated with a user interface page to determine whether the user interface page satisfies a domain page condition. If the user interface page does not satisfy the domain page condition, a user trains the system such that the user interface page classification system classifies the user interface page as a domain page. The rule set of the user interface page classification system is updated, and the updated rule set is applied to the information associated with the user interface page. The user interface page classification system then classifies the user interface page as a domain page.

Generation Of Data Flow From Syntax Tree

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US Patent:
20170091293, Mar 30, 2017
Filed:
Jun 28, 2016
Appl. No.:
15/195593
Inventors:
- Redmond WA, US
Zhaoji Chen - Issaquah WA, US
Yifung Lin - Beijing, CN
Dian Zhang - Beijing, CN
International Classification:
G06F 17/30
Abstract:
A computerized mechanism to formulate a data flow representation from a syntax tree. The syntax tree may be, for instance, an abstract syntax tree (AST) that is formulated by compiling query script, such as big data query script. Each node in the syntax tree is composed of one or more tokens (script portions) that are taken from the query script, which relationships between the tokens being syntactically represented by links between those tokens. Accordingly, the data flow representation may also be a data flow representation of the original query script itself. In order to formulate the data flow representation from the syntax tree, the data types of the various inputs and outputs of the syntax tree nodes are identified and bound to a corresponding data flow. This may be performed whilst honoring dependencies between the nodes. The data flow may be visualized to an author or reviewer of the script.

Location Correlation Between Query Script And Data Flow

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US Patent:
20170091317, Mar 30, 2017
Filed:
Jun 28, 2016
Appl. No.:
15/195657
Inventors:
- Redmond WA, US
Zhaoji Chen - Issaquah WA, US
Yifung Lin - Haidian District, CN
Dian Zhang - Haidian District, CN
International Classification:
G06F 17/30
G06F 17/27
Abstract:
A computerized mechanism to automatically correlate positions of query script to portions of a data flow representation of the query script. When parsing the query script to generate the tokens, at least some of the tokens have an associated script location marker that identifies a location in the query script where the token originated from. The syntax tree of multiple nodes is then formulated, each node comprising one or more of the tokens parsed from the query script. Accordingly, the syntax tree retains the script location markers. A data flow representation of the query script is then formulated into a data flow representation. That data flow representation might, for instance, be based on the syntax tree, but augmented with data types of the various data flows. Nevertheless, the location marker is retained within the data flow representation.
Zhaoji Chen from Seattle, WA, age ~44 Get Report