Meng Cao (Preferred)
Meng Cao
Apple
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@apple.com
Personal Links
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Education & Career History
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Researcher
Apple (apple.com)
2019 – Present
Researcher
Amazon (amazon.com)
2018 – 2019
Researcher
Blippar (blippar.com)
2015 – 2018
Researcher
KLA+ (kla-tencor.com)
2010 – 2015
Postdoc
University of California Berkeley (berkeley.edu)
2009 – 2010
PhD student
University of California, Riverside (ucr.edu)
2004 – 2009
Advisors, Relations & Conflicts
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PhD Advisor
Matt Barth
****@ucr.edu
2004 – 2009
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Foundation Model
2021 – Present
Data-centric Machine Learning
2021 – Present
Deep Learning
2014 – Present