Xi Victoria Lin (Preferred)
, Victoria Lin
Xi Victoria Lin
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@cs.washington.edu
, ****@metamind.io
, ****@salesforce.com
, ****@salesforce.com
, ****@fb.com
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Research Scientist
Facebook (fb.com)
2021 – Present
PhD student
Department of Computer Science, University of Washington (cs.washington.edu)
2013 – Present
Research Scientist
Salesforce Research (previously MetaMind) (metamind.io)
2017 – 2020
Research Scientist
Salesforce Research (salesforce.com)
2017 – 2020
PhD student
Department of Computer and Information Science, School of Engineering and Applied Science (cis.upenn.edu)
2011 – 2013
MS student
School of Engineering and Applied Science, University of Pennsylvania (seas.upenn.edu)
2011 – 2013
MS student
Department of Computer Science, University of Oxford (cs.ox.ac.uk)
2010 – 2011
Undergrad student
Department of Electronic & Information Engineering, The Hong Kong Polytechnic University (inet.polyu.edu.hk)
2008 – 2010
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Luke Zettlemoyer
****@cs.washington.edu
2013 – 2017
Coworker
Kristina Toutanova
****@google.com
2015 – 2015
Coworker
Sameer Singh
****@uci.edu
2013 – 2015
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
deep learning and programming language
2016 – Present
deep learning
2014 – 2016
information extraction
2013 – 2016