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Xian X Xu

from Menlo Park, CA
Age ~48
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Related to:
Rui XuHe XuHaiyan Zhao, 52Munan Xue, 39Jianzhong H Wang, 61Barrington Gordon, 40Rachel Berlus, 51
Connected to:
Angmai Xu, 69Baoji Xu, 61Baopei Xu, 86Beibei Xu, 41Bingxin Xu, 37Chan Xu, 62Chao Xu, 66Chengkun B Xu, 61Chenxi Xu, 32Chunchun Xu, 35

Xian Xu Phones & Addresses

  • 531 Pope St, Menlo Park, CA 94025
  • Sunnyvale, CA
  • Mountain View, CA
  • San Francisco, CA
  • 16753 NE 35Th St, Bellevue, WA 98008
  • Buffalo, NY
  • Lockport, NY
  • Kiona, WA

Work

Company: American legend cooperative Sep 2007 Position: Accounting supervisor

Education

School / High School: University of British Columbia- Vancouver, BC May 2004 Specialities: Bachelor of Arts in Accounting & Economics

Resumes

Resumes

Xian Xu Photo 1

Analog Design Engineer At Mediatek

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Location:
9 Willow Ct, Cranbury, NJ 08512
Industry:
Semiconductors
Work:
Mediatek
Analog Design Engineer at Mediatek
Education:
The University of Texas at Dallas 2009 - 2012
Master of Science, Masters, Electrical Engineering
Languages:
Mandarin
Xian Xu Photo 2

Xian Xu

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Xian Xu Photo 3

Xian Xu Renton, WA

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Work:
American Legend Cooperative

Sep 2007 to 2000
Accounting Supervisor
American Legend Cooperative
Renton, WA
Dec 2005 to Sep 2007
Staff Accountant
T-Mobile USA Inc
Bellevue, WA
Apr 2005 to Dec 2005
Cash Applications Coordinator
HSBC Bank of Canada
Richmond, BC
Jan 2004 to Feb 2005
Customer Service Representative
Education:
University of British Columbia
Vancouver, BC
May 2004
Bachelor of Arts in Accounting & Economics
Keller Graduate School
Seattle, WA
Masters in Business Administration

Publications

Us Patents

Advertisement Conversion Prediction Based On Unlabeled Data

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US Patent:
20170286997, Oct 5, 2017
Filed:
Apr 5, 2016
Appl. No.:
15/091105
Inventors:
- Menlo Park CA, US
Pradheep K. Elango - Mountain View CA, US
Xian Xu - Menlo Park CA, US
International Classification:
G06Q 30/02
G06N 99/00
G06N 7/00
Abstract:
Embodiments are disclosed for predicting target events occurrence for an advertisement campaign. A computing device according to some embodiments assigns a label to an advertisement as unlabeled, in response to a notification that a prerequisite event occurs for the advertisement. The device generates feature vectors based on data that relate to the advertisement. The device further trains a machine learning model using the feature vectors of the unlabeled advertisement based on a first term of an objective function, without waiting for a target event for the advertisement to occur. The first term depends on unlabeled advertisements. The device predicts a probability of a target event occurring for a new advertisement, by feeding data of the new advertisement to the trained machine learning model.

Lookalike Evaluation

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US Patent:
20170140283, May 18, 2017
Filed:
Nov 13, 2015
Appl. No.:
14/941495
Inventors:
- Menlo Park CA, US
Xian Xu - Menlo Park CA, US
Yang Pei - Menlo Park CA, US
International Classification:
G06N 5/04
G06N 99/00
Abstract:
Lookalike models can select users that are predicted to share characteristics with a specified set of seed users. The processing requirements for lookalike models can be decreased by identifying features that have low impact on model accuracy, and therefore can be excluded from creating models. Also, by identifying preferred seed sources and training parameters, accurate lookalike models can be created with less overhead and in less time. The features and training parameters can be identified by obtaining a sample seed set, extracting seeds with a defined set of features, and using the remaining training seeds to train a model. Performance of this model can be compared to a standard model to see if the model performs well. If so, features excluded from the features used to create the model, a seed source, or training parameters used to create the model can be selected.
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Xian X Xu from Menlo Park, CA, age ~48 Get Report