Image of Kaiyue Wu

Kaiyue Wu

Software Engineer

Senior Software Engineer at Google

San Francisco, California

Section title

Kaiyue Wu's Email Addresses & Phone Numbers

Kaiyue Wu's Work Experience

Clari

Software Engineer

March 2015 to September 2017

salesforce.com

Software Engineering Intern

May 2014 to August 2014

Google

Senior Software Engineer

San Francisco Bay Area

Kaiyue Wu's Education

Carnegie Mellon University

Master's degree, Computer Science

2013 to 2014

Beijing University of Posts and Telecommunications

Bachelor's degree, Computer Science

Kaiyue Wu's Professional Skills Radar Chart

Based on our findings, Kaiyue Wu is ...

Individualistic
Results-driven
Private

What's on Kaiyue Wu's mind?

Based on our findings, Kaiyue Wu is ...

52% Left Brained
48% Right Brained

Kaiyue Wu's Estimated Salary Range

About Kaiyue Wu's Current Company

Clari

Frequently Asked Questions about Kaiyue Wu

What company does Kaiyue Wu work for?

Kaiyue Wu works for Clari


What is Kaiyue Wu's role at Clari?

Kaiyue Wu is Software Engineer


What is Kaiyue Wu's personal email address?

Kaiyue Wu's personal email address is ka****[email protected]


What is Kaiyue Wu's business email address?

Kaiyue Wu's business email addresses are not available


What is Kaiyue Wu's Phone Number?

Kaiyue Wu's phone (213) ***-*121


What industry does Kaiyue Wu work in?

Kaiyue Wu works in the Computer Software industry.


About Kaiyue Wu

đź“– Summary

Software Engineer @ Clari From March 2015 to September 2017 (2 years 7 months) Software Engineering Intern @ salesforce.com From May 2014 to August 2014 (4 months) Senior Software Engineer @ Google San Francisco Bay AreaSenior Software Engineer @ Clari From October 2017 to December 2019 (2 years 3 months) Research Intern @ Tsinghua University Project: Learning from Labeled Features using Generalized Expectation (GE) Criteria· Leveraged domain knowledge in the form of affinities between input features and classes for text classification· Used labeled features directly to constrain the model’s predictions on unlabeled instances, unlike previous approaches that use labeled features to create labeled pseudo-instances.· Expressed these constraints using GE criteria – terms in a parameter estimation objective function that express preference on values of a model expectation.· Experimental results showed that this method outperforms heuristic approaches. From March 2011 to August 2011 (6 months) Beijing City, China


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Kaiyue Wu's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 5 month(s)

Kaiyue Wu's Willingness to Change Jobs

Unlikely

Likely

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